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The question of whether Everettian quantum mechanics (EQM) justifies the existence of metaphysical indeterminacy has recently come to the fore. Metaphysical indeterminacy has been argued to emerge from three sources: coherent superpositions, the indefinite number of branches in the quantum multiverse and the nature of these branches. This paper reviews the evidence and concludes that those arguments don't rely on EQM alone and rest on metaphysical auxiliary assumptions that transcend the physics of EQM. We show how EQM can be ontologically interpreted without positing metaphysical indeterminacy by adopting a deflationary attitude towards branches. Two ways of developing the deflationary view are then proposed: one where branches are eliminated, and another where they are reduced to the universal quantum state.

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has become apparent that they face challenges stemming from datasets that span more spatial dimensions. In fact, the bestperforming clustering algorithms scale linearly in the number of points, but quadratically with respect to the local density of points. In this work, we introduce qCLUE, a quantum clustering algorithm that scales linearly in both the number of points and their density. qCLUE is inspired by CLUE, an algorithm developed to address the challenging time and memory budgets of Event Reconstruction (ER) in future High-Energy Physics experiments. As such, qCLUE marries decades of development with the quadratic speedup provided by quantum computers. We numerically test qCLUE in several scenarios, demonstrating its effectiveness and proving it to be a promising route to handle complex data analysis tasks - especially in high-dimensional datasets with high densities of points. [ABSTRACT FROM AUTHOR]

We report on the design and simulation of strip-loaded nanophotonic interfaces aimed at improving resonant coupling and photon routing efficiency. In our design, the guided mode is confined within a plane by a high-index thin film and is loosely confined laterally by a lower index strip. Using a hydrogen silsesquioxane (HSQ) strip, titanium dioxide core, and silicon dioxide substrate, we optimise the waveguide dimensions for maximum lateral confinement of light. Specifically, we propose a polymer-based Bragg grating cavity and ring resonator that achieve near-optimal mode volumes and high Q-factors. These may be further developed to achieve the even higher Q-factors demanded by quantum technologies. Our calculations suggest that a quantum dot embedded in a cavity with a mode volume of Veff ~ 7.0(λ/n)³ and a Q-factor of 7,000 can produce photons with 97% indistinguishability at 4K. Additionally, we investigate directional couplers for efficient photon routing, comparing photonic and plasmonic material structures. While pure photonic structures demonstrate lower loss and improved quality factors, they face practical limitations in terms of bending radius. Conversely, plasmonic structures offer shorter bending radii but higher propagation losses. This research lays the groundwork for future nanophotonic designs, aiming to enhance photon generation and routing capabilities for quantum optical applications. [ABSTRACT FROM AUTHOR]

The primary emphasis of the present study is to introduce some novel characterizations of the interval-valued (I. V) right symmetric quantum derivative and antiderivative operators relying on generalized Hukuhara difference. To continue the study, we start with the concept of symmetric differentiability in the interval-valued sense and explore some important properties. Furthermore, through the utilization of the (I. V) symmetric derivative operator, we develop the right-sided (I. V) integral operator and explore its key properties. Also, we establish various (I. V) trapezium-like inequalities by considering the newly proposed operators and support line. Later on, we deliver another proof of the trapezium inequality through an analytical approach. Also, we present the numerical and visual analysis for the verification of our results. [ABSTRACT FROM AUTHOR]

Background: The variational method, a quantum mechanical approach, estimates effective charge distributions and ground-state energy by minimizing the Hamiltonian's expectation value using trial wave functions with adjustable parameters. This method provides valuable insights into system behavior and is widely used in theoretical chemistry and physics. This paper aims to investigate ground-state energies and isoelectronic sequences using the variational method, introducing a novel approach for analyzing multi-electron systems. This technique allows for determining effective charge values and ground-state energies for 2–5 electrons sequence up to Z ≤ 20. Hydrogenic wave functions are used as a trial wave function to calculate effective charge in 1 s, 2 s, and 2p states. Two varying parameters were used to calculate an approximate wave function for the system. These values are then used in non-relativistic Hamiltonian with electron–electron interaction terms to calculate the ground-state energy of an atom. Result: The results align with the reported experimental values, showing a marginal 1% error. Conclusion: A Python algorithm is established based on the variational principle. It was found that, based on a few selected parameters in scripting the program, a very promising result was obtained. Furthermore, adding more variational parameters can minimize the difference between experimental and theoretical values, and this technique can be extended to elements with higher atomic numbers. [ABSTRACT FROM AUTHOR]

Context: Direct DFT evaluation of negatively charged or highly π-delocalized systems is intrinsically problematic. Single ionized (anionic) forms of β-diketones combine both these issues. In this article, we have summarized and analyzed the experimental and theoretical spectral dataset for anionic forms of different substituted perfluorinated β-diketones that were obtained by our team during the past few years. Using previously collected experimental data, spectra of anion of diketones containing phenol, 2-furoyl, 2-thiophen, 2-selenophen, 2-tellorphe, 2-pyridin, 2-naphthyl, and N-methyl-pyrrole substituted rings were considered and chosen for the simulation. The X3LYP density functional demonstrates good results in both ultraviolet and visible parts of the diketones spectra. Minnesota family show predictable ability within the reasonable errors. The linear correlation between the Hartree–Fock exchange and the errors of estimation has been observed. Density functionals with a low contribution of HF weight (0–30%) provide better prediction accuracy. Methods: Quantum chemistry calculations were performed under eighteen density functionals (Slater, Becke, OPTX, LYP, PW91C, BPE0, B3LYP, CAM-B3LYP, X3LYP, TPSS, revTPSS, TPSSh, M06-L, M06, M06-2X, M06-HF, M11-L, MN15-L), paired with the SMD solvation model implemented in GAMESS US program package. Def2-SVP basis set functions were applied to light atoms, and CRENBL effective core potential was used to Tellurium. [ABSTRACT FROM AUTHOR]

Matrices are built and designed by applying procedures from lower order matrices. Matrix tensor products, direct sums or multiplication of matrices are such procedures and a matrix built from these is said to be a separable matrix. A non-separable matrix is a matrix which is not separable and is often referred to as an entangled 'matrix. The matrices built may retain properties of the lower order matrices or may also acquire new desired properties not inherent in the constituents. Here design methods for non-separable matrices of required types are derived. These can retain properties of lower order matrices or have new desirable properties. Infinite series of required type non-separable matrices are constructible by the general methods. Non-separable matrices of required types are required for applications and other uses; they can capture the structure in a unique way and thus perform much better than separable matrices. General new methods are developed with which to construct multidimensional entangled paraunitary matrices; these have applications for wavelet and filter bank design. The constructions are used to design new systems of non-separable unitary matrices; these have applications in quantum information theory. Some consequences include the design of full diversity constellations of unitary matrices, which are used in MIMO systems, and methods to design infinite series of special types of Hadamard matrices. [ABSTRACT FROM AUTHOR]

The primary emphasis of the present study is to introduce some novel characterizations of the interval-valued $ (\mathcal{I}.\mathcal{V}) $ right symmetric quantum derivative and antiderivative operators relying on generalized Hukuhara difference. To continue the study, we start with the concept of symmetric differentiability in the interval-valued sense and explore some important properties. Furthermore, through the utilization of the $ (\mathcal{I}.\mathcal{V}) $ symmetric derivative operator, we develop the right-sided $ (\mathcal{I}.\mathcal{V}) $ integral operator and explore its key properties. Also, we establish various $ (\mathcal{I}.\mathcal{V}) $ trapezium-like inequalities by considering the newly proposed operators and support line. Later on, we deliver another proof of the trapezium inequality through an analytical approach. Also, we present the numerical and visual analysis for the verification of our results.

Abstract Background The variational method, a quantum mechanical approach, estimates effective charge distributions and ground-state energy by minimizing the Hamiltonian's expectation value using trial wave functions with adjustable parameters. This method provides valuable insights into system behavior and is widely used in theoretical chemistry and physics. This paper aims to investigate ground-state energies and isoelectronic sequences using the variational method, introducing a novel approach for analyzing multi-electron systems. This technique allows for determining effective charge values and ground-state energies for 2–5 electrons sequence up to Z ≤ 20. Hydrogenic wave functions are used as a trial wave function to calculate effective charge in 1 s, 2 s, and 2p states. Two varying parameters were used to calculate an approximate wave function for the system. These values are then used in non-relativistic Hamiltonian with electron–electron interaction terms to calculate the ground-state energy of an atom. Result The results align with the reported experimental values, showing a marginal 1% error. Conclusion A Python algorithm is established based on the variational principle. It was found that, based on a few selected parameters in scripting the program, a very promising result was obtained. Furthermore, adding more variational parameters can minimize the difference between experimental and theoretical values, and this technique can be extended to elements with higher atomic numbers.

The security challenges confronting the space-ground integrated network in 6G era were mainly disscussed, and an innovative scheme based on quantum security was proposed. Firstly, the developmental backdrop and evolving trends of the integrated network’s architecture were outlined, highlighting the distinct features and application contexts of both the transparent forwarding and on-board regeneration frameworks. Secondly, the security challenges faced by the space-ground integrated network were analyzed, especially the risks of data transmission security and access authentication. In response to these challenges, the innovative solutions were proposed to ensure the security of the space-ground integrated network based on quantum technology. By leveraging the unconditional security of quantum communication and the advantages of post-quantum cryptographic algorithms, end-to-end secure communication protection for the space-ground integrated network was provided. Finally, the feasibility of using quantum technology was verified to ensure the security of the space-ground integrated network.

Photonics offers unique capabilities for quantum information processing (QIP) such as room-temperature operation, the scalability of nanophotonics, and access to ultrabroad bandwidths and consequently ultrafast operation. Ultrashort pulse sources of quantum states in nanophotonics are an important building block for achieving scalable ultrafast QIP; however, their demonstrations so far have been sparse. Here, we demonstrate a femtosecond biphoton source in dispersion-engineered periodically poled lithium niobate nanophotonics. We measure 17 THz of bandwidth for the source centered at 2.09 µm, corresponding to a few optical cycles, with a brightness of 8.8 GHz/mW. Our results open new paths toward realization of ultrafast nanophotonic QIP.

Game theory has been studied extensively in recent centuries as a set of formal mathematical strategies for optimal decision making. This discipline improved its efficiency with the arrival, in the 20th century, of digital computer science. However, the computational limitations related to exponential time type problems in digital processors, triggered the search for more efficient alternatives. One of these choices is quantum computing. Certainly, quantum processors seem to be able to solve some of these complex problems, at least in theory. For this reason, in recent times, many research works have emerged related to the field of quantum game theory. In this paper we review the main studies about the subject, including operational requirements and implementation details. In addition, we describe various quantum games, their design strategy, and the used supporting tools. We also present the still open debate linked to the interpretation of the transformations of classical algorithms in fundamental game theory to their quantum version, with special attention to the Nash equilibrium.

Objectives To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations. Target Audience Investigators seeking to explore quantum computing and create quantum-based applications for healthcare and biomedical research. Scope Quantum computing requires specialized hardware, known as quantum processing units, that use quantum bits (qubits) instead of classical bits to perform computations. This article will cover (1) proposed applications where quantum computing offers advantages to classical computing in biomedicine; (2) an introduction to how quantum computers operate, tailored for biomedical researchers; (3) recent progress that has expanded access to quantum computing; and (4) challenges, opportunities, and proposed solutions to integrate quantum computing in biomedical applications. [ABSTRACT FROM AUTHOR]

The Orch-Or model cannot explain the reason for the observation of non-human intelligence contacts by dying or comatose patients, and furthermore, it ignores the immortality of human beings. Therefore, a new model is presented to answer all questions and find a solution for human immortality. In this model, intelligence is a quantum particle that by acceleration of a photon in every spark; comes from the black and white box regions of curved space time of Penrose's diagram and by connecting to particles; makes them intelligent. Like the Higgs boson, which binds to particles and gives them mass. The basic intelligence of every human enters our space-time region when the primary cell is born and remains free even after death. Free intelligences interact with the brain and penetrate into the brains of the patient and induce non-human intelligence contacts. On the other hand, the brains of healthy people do not have empty space to store information of free intelligence due to high activity, and therefore healthy people do not see non-human intelligence. This model not only explains the reason for the contact with non-human intelligence for dying patients, but also provides solutions for the treatment of incurable diseases by finding rogue intelligences in the human body. [ABSTRACT FROM AUTHOR]

This article explores the use of art to make quantum mechanics more intuitive and accessible. The authors organized a hackathon event where participants created artworks that illustrate quantum principles such as superposition and entanglement. Examples of these artworks include a quantum mosaic, quantum vortex art, and musical compositions. The authors argue that these artistic representations help to make quantum concepts more understandable. The article also discusses other projects that explore the intersection of quantum science and art, including generating art based on quantum architectures and using quantum principles to enhance machine learning visualization. The text raises questions about the definition of art and includes the perspective of a Japanese contemporary artist. Overall, these projects aim to make quantum concepts more accessible through artistic expression. [Extracted from the article]

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Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has become apparent that they face challenges stemming from datasets that span more spatial dimensions. In fact, the best-performing clustering algorithms scale linearly in the number of points, but quadratically with respect to the local density of points. In this work, we introduce qCLUE, a quantum clustering algorithm that scales linearly in both the number of points and their density. qCLUE is inspired by CLUE, an algorithm developed to address the challenging time and memory budgets of Event Reconstruction (ER) in future High-Energy Physics experiments. As such, qCLUE marries decades of development with the quadratic speedup provided by quantum computers. We numerically test qCLUE in several scenarios, demonstrating its effectiveness and proving it to be a promising route to handle complex data analysis tasks – especially in high-dimensional datasets with high densities of points.

We report on the design and simulation of strip-loaded nanophotonic interfaces aimed at improving resonant coupling and photon routing efficiency. In our design, the guided mode is confined within a plane by a high-index thin film and is loosely confined laterally by a lower index strip. Using a hydrogen silsesquioxane (HSQ) strip, titanium dioxide core, and silicon dioxide substrate, we optimise the waveguide dimensions for maximum lateral confinement of light. Specifically, we propose a polymer-based Bragg grating cavity and ring resonator that achieve near-optimal mode volumes and high Q-factors. These may be further developed to achieve the even higher Q-factors demanded by quantum technologies. Our calculations suggest that a quantum dot embedded in a cavity with a mode volume of Veff∼7.0λ/n3 and a Q-factor of 7,000 can produce photons with 97% indistinguishability at 4K. Additionally, we investigate directional couplers for efficient photon routing, comparing photonic and plasmonic material structures. While pure photonic structures demonstrate lower loss and improved quality factors, they face practical limitations in terms of bending radius. Conversely, plasmonic structures offer shorter bending radii but higher propagation losses. This research lays the groundwork for future nanophotonic designs, aiming to enhance photon generation and routing capabilities for quantum optical applications.

ABSTRACTSelenium is a chemical element from the chalcogenide group (Oxygen, Sulfur, Selenium and Tellurium), which has been defined as a critical element by the American Physical Society and the Materials Research Society. Indeed, selenium is used abundantly in nanotechnologies but its scarcity on Earth put its sustainability at risk. This review highlights the properties of selenium at the nanoscale and illustrates some of its most important applications in medicine, agriculture, catalysis, opto-electronics, photovoltaics, piezo-electrics and quantum electronics.

This study uses Raina's function to obtain a new coordinated p q -integral identity. Using this identity, we construct several new p q -Simpson's type inequalities for generalized convex functions on coordinates. Setting p 1 = p 2 = 1 in these inequalities yields well-known quantum Simpson's type inequalities for coordinated generalized convex functions. Our results have important implications for the creation of post quantum mathematical frameworks. [ABSTRACT FROM AUTHOR]

Quantum control allows us to address the problem of engineering quantum dynamics for special purposes. While recently the field of quantum batteries has attracted much attention, optimization of their charging has not benefited from the quantum control methods. Here we fill this gap by using an optimization method. We apply for the first time the convergent iterative method for the control of the population of a bipartite quantum system in two cases, starting with a qubit-qubit case. The quantum charger-battery system is considered here, where the energy is pumped into the charger by an external classical electromagnetic field. Secondly, we systematically extend our investigation to a second case involving two harmonic oscillators in the Gaussian regime, presenting an original formulation of the method. In both cases, the charger is considered to be an open dissipative system, as its interaction with the drive may require a more pronounced exposure to general interaction with environment. A key consideration in our optimization strategy is the practical concern of turning the charging external field on and off. We find that optimizing the pulse shape yields a substantial enhancement in both the power and efficiency of the charging process compared to a sinusoidal drive. The harmonic oscillator configuration of quantum batteries is particularly intriguing, as the optimal driving pulse remains effective regardless of the environmental temperature. This study introduces a novel approach to quantum battery charging optimization, opening avenues for enhanced performance in real-world applications. [ABSTRACT FROM AUTHOR]

Kierkegaard and Wittgenstein: the harmony of faith with the paradoxes of contemporary epistemology The aim of the article is, with reference to the still current and discussed problem of the relationship between reason and religious faith, to point out the surprising harmony of the philosophical positions of Kierkegaard and Wittgenstein, emphasizing the a-rationality of belief in an infinite God and in his �€�absurd' incarnation into the �€�finite', with experimentally proven �€�irrational' conclusions of modern quantum philosophy, focusing on ironic �€�irrationality' of modern science. Kierkegaard's underlining of the subjectivity of belief in the �€�absolute paradox' is in strong congruence with Wittgenstein's �€�necessary silence' before the �€�Ineffable', mystical and transcendent �€�Point beyond the world', �€�Infinity' that reveals itself through the miraculously created universe. The common denominator of both philosophical positions is the mandatory prioritization of orthopraxis over orthodoxy in matters of subjective faith and over objective rational �€�proofs' of divine existence. [ABSTRACT FROM AUTHOR]

Abstract An experimental Quantum Key Distribution (QKD) implementation requires advanced costly hardware, unavailable in most research environments, making protocol testing and performance evaluation complicated. This has been a major motivation for the development of QKD simulation frameworks, to allow researchers to obtain insight before proceeding into practical implementations. Several simulators have been introduced over the recent years. However, only four are publicly available, only one of which models equipment imperfections. Currently, no open‐source simulator includes all following capabilities: channel attenuation modelling, equipment imperfections and effects on key rates, estimation of elapsed time during classical and quantum‐ channel processes, use of truly random binary sequences for qubits and measurement bases, shared ‐bit fraction customization. In this paper, we present NuQKD, an open‐ source modular, intuitive simulator, featuring all the above capabilities. NuQKD establishes communication between two computer terminals, accepts custom user inputs (iterations, raw key size, attacker interception rate etc.) and evaluates the sifted key, Quantum Bit Error Rate (QBER), elapsed communication time, and more. NuQKD capabilities include optical fiber and free ‐space simulation, modeling of equipment/channel imperfections, bitstrings from True Random Number Generators, decoy‐state protocol support, and automated evaluation of performance metrics. We expect NuQKD to enable convenient and accurate representation of actual experimental conditions.

The manuscript portrays the investigation of a quantum plasmonic gold torus nanodipole antenna on a zinc oxide dielectric substrate for optical near-field communication. Initially, the dispersive behavior of gold and zinc oxide materials at terahertz is demonstrated through Drude and Lorentz models to confirm the suitability of the material for the design of nano-antenna. The proposed torus nanodipole antenna is analyzed in detail using substrate, torus and feeding gap design parameters of the antenna to obtain the desired plasmon resonance characteristics for optical near-field communication. The minimal reflection of -50.50 dB is observed at 71.3 THz with a directivity of 1.91 dBi using a single nanodipole element. The torus nanodipole antenna array is proposed to enhance the directivity and gain of the torus nanodipole antenna. The directivities of 9.425 dBi, 12.63 dBi and 14.63 dBi and the gain of 7.69 dBi, 10.77 dBi and 13.3 dBi are observed for the $2\times 2$ , $3\times 3$ and $4\times 4$ element nanodipole arrays, respectively. The circuit modeling for the torus nanostructure is proposed and validated using the finite integration technique.

Quantum computing offers transformative processing capabilities, particularly in data analysis. However, its adoption in developing countries like Vietnam faces significant barriers, such as financial constraints, infrastructural limitations, and skill shortages. This study aims to determine and analyze these barriers’ impact weights and evaluate and rank potential solutions for overcoming the most critical barriers. This study proposes a multi-faceted approach integrating Multi-Criteria Decision Making (MCDM) methods, including the Delphi Method (DELPHI), Decision Making Trial And Evaluation Laboratory (DEMATEL), Combined Compromise Solution (COCOSO), Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), and the Multiplicative form of Multi-objective Optimization based on Ratio Analysis method (MULTIMOORA), alongside the Quantum Spherical Fuzzy (QSF) set analysis. This combination, especially integrating QSF DELPHI and QSF COCOSO models, represents a significant methodological contribution. Results indicate that Vietnam’s primary barriers to quantum computing are limited infrastructure, high costs, and a lack of skilled workforce. Correspondingly, the most highly rated solution strategies are cost reduction initiatives, investment in infrastructure, and training and education programs, which should be prioritized and considered to remove potential barriers. These findings highlight the need to prioritize addressing issues in facilities, human resources, and financial resources. This research bridges theoretical insights with actionable recommendations, providing a comprehensive roadmap for mitigating barriers and promoting the integration of quantum computing into Vietnam’s data analysis landscape.

The purpose of this work is to analyze how new technologies can enhance clinical practice while also examining the physical traits of emotional expressiveness of face expression in a number of psychiatric illnesses. Hence, in this work, an automatic facial expression recognition system has been proposed that analyzes static, sequential, or video facial images from medical healthcare data to detect emotions in people’s facial regions. The proposed method has been implemented in five steps. The first step is image preprocessing, where a facial region of interest has been segmented from the input image. The second component includes a classical deep feature representation and the quantum part that involves successive sets of quantum convolutional layers followed by random quantum variational circuits for feature learning. Here, the proposed system has attained a faster training approach using the proposed quantum convolutional neural network approach that takes $\mathbb {O}{(}\text {log}{(}{n}{)}{)}$ time. In contrast, the classical convolutional neural network models have $\mathbb {O}{(}{n}^{{2}}{)}$ time. Additionally, some performance improvement techniques, such as image augmentation, fine-tuning, matrix normalization, and transfer learning methods, have been applied to the recognition system. Finally, the scores due to classical and quantum deep learning models are fused to improve the performance of the proposed method. Extensive experimentation with Karolinska-directed emotional faces (KDEF), Static Facial Expressions in the Wild (SFEW 2.0), and Facial Expression Recognition 2013 (FER-2013) benchmark databases and compared with other state-of-the-art methods that show the improvement of the proposed system.

The open radio access network (ORAN) aims to improve network efficiency by reducing latency through the distributed unit (DU) and virtualization in the central unit (CU). However, the deployment of additional DU servers increases power usage and competition among virtual machines for user data processing. This study proposes a novel approach to address these challenges by incorporating load balancing strategies and quantum physics concepts, particularly entanglement theory in classical communication systems. The methodology enables the production of quantum information units from a single classical information unit, aiming to conserve energy. A simplified yet effective power consumption (PC) model for the ORAN architecture captures traffic fluctuations and provides a comprehensive characterization of power usage within a virtualized system. An optimization problem is formulated to select ORAN servers for quantum load balancing that are less energy-efficient, maximizing user benefits. The Lagrange multiplier method is used to deal with nonlinear objective functions. The presented problem is addressed through the use of two numerical methods, namely sequential quadratic programming (SQP) and the active-set approach. It is shown that the SQP model exhibits superior energy efficiency compared to the active-set model, with a difference of approximately 45%.

In this work, n-GCHM was used for the removal of Cu2+ and Co2+ from wastewater. The adsorbent material (n-GCHM) was characterised using SEM and TGA. The following optimum conditions were obtained: a contact time of 120 min and pH 5 for the removal of Cu2+ and Co2+. The maximum adsorption capacity of Cu2+ and Co2+ was 5.8343 mg/g using n-GCHM. The highest percentage removal of Cu2+ and Co2+ on n-GCHM at pH 5 was 80 and 80.5%, respectively. The experimental data successfully fitted to pseudo-second-order kinetic, and also fitted well to the Freundlich isotherm model. The process of adsorption was spontaneous and exothermic in nature. To obtain extensive information on the adsorption process of metal ions on the functional groups of adsorbents, the quantum adsorption mechanism was investigated using DFT. The molecular orbital approach has shown that the HOMO and LUMO were located on –NCN– and LUMO on –NCO–. The quantum adsorption mechanism has shown that the binding energies of Cu2+ and Co2+ on imine functional groups were −60,604.399 and −53649.06 eV, respectively. On the –NCO– functional group, the binding energy was −58587.608 and −51632.618 eV, respectively, for Cu2+ and Co2+. Quantum mechanical methods using the ANN approach have been demonstrated to be accurate. HIGHLIGHTS The highest percentage removal of Cu2+ and Co2+ on n-GCHM at pH 5 was 80 and 80.5%, respectively.; Experimental data fitted well to pseudo-second-order and to Freundlich isotherm model.; The quantum adsorption mechanism has shown that the binding energy of Cu2+ and Co2+ on imine functional group was −60604.40 and −53649.06 eV, respectively.; On the –NCO– functional group, the binding energy was −58587.61 and −51632.62 eV, respectively, for Cu2+ and Co2+.;

Massive inclusion of artificial intelligence (AI) in the technosphere and electronic governments urges an update in legal regulation of these and related areas. The issue converges on the key question of whether AI can be endowed with legal personhood and capacity. Opposing views in this respect build on hardly compatible ethics and largely outdated scientific grounds with a clear perspective for deep cultural antagonisms and further fragmentation of the world. We contribute to this debate from the perspective of quantum cognitive science and show how it can resolve some of the current impasses. Our approach builds on the quantum-theoretic refinement of the concept of uncertainty into quantum and classical types: classical uncertainty denotes subjective ignorance of the present state of affairs, while quantum uncertainty accounts for individual freedom to construct the future. We show that legal capacity of intelligence, at bottom, is defined by the type of uncertainty it is capable to resolve. Natural intelligence, in particular, can resolve quantum uncertainties, generating genuine novelty and affective experience in the process. Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. Concepts of decision-making, subjectness, creativity, and personal meaning then are recognized as physically inapplicable to such systems. The proposed definitions of these terms complement and sharpen the criteria of legal capacity in the existing legislations, indicating that “autonomy” is essentially equivalent to “appreciation.” Classical AI then appears as fundamentally alien to subjectness and legal capacity both in civil and common laws, resolving a delicate contradiction between them. Quantum-empowered AI, in contrast, escapes this conclusion due to its access to quantum uncertainty, introducing novel challenges with respect to responsibility gaps and meaningful human control. The developed approach aligns with the present legal practice and ethical discourse, contributing to the scientifically informed development of law in technological societies.

A powerful and robust control system is a crucial, often neglected, pillar of any modern, complex physics experiment that requires the management of a multitude of different devices and their precise time synchronisation. The AEḡIS collaboration presents CIRCUS, a novel, autonomous control system optimised for time-critical experiments such as those at CERN's Antiproton Decelerator and, more broadly, in atomic and quantum physics research. Its setup is based on Sinara/ARTIQ and TALOS, integrating the ALPACA analysis pipeline, the last two developed entirely in AEḡIS. It is suitable for strict synchronicity requirements and repeatable, automated operation of experiments, culminating in autonomous parameter optimisation via feedback from real-time data analysis. CIRCUS has been successfully deployed and tested in AEḡIS; being experiment-agnostic and released open-source, other experiments can leverage its capabilities. [ABSTRACT FROM AUTHOR]

An alternative formulation of the no-boundary initial state of the universe in the Euclidean quantum theory of gravity is proposed. Unlike the no-boundary Hartle–Hawking wave function, in which time appears together with macroscopic space–time in the semiclassical approximation, in the proposed formalism, time is present from the very beginning on an equal footing with spatial coordinates. The main element of the formalism is the wave functional, which is defined based on the world histories of the universe. This ensures formal 4D covariance of the theory. The wave functional is defined independently of the wave function as an eigenvector of the action operator. The shape of the Origin region, together with the boundary conditions, is determined by the structure of the total energy of the universe, which includes a 3D-invariant contribution of the expansion energy. The own mass of the universe arises as a non-zero value of the expansion energy in the Origin. [ABSTRACT FROM AUTHOR]

Symmetric derivatives and integrals are extensively studied to overcome the limitations of classical derivatives and integral operators. In the current investigation, we explore the quantum symmetric derivatives on finite intervals. We introduced the idea of right quantum symmetric derivatives and integral operators and studied various properties of both operators as well. Using these concepts, we deliver new variants of Young's inequality, Hölder's inequality, Minkowski's inequality, Hermite–Hadamard's inequality, Ostrowski's inequality, and Gruss–Chebysev inequality. We report the Hermite–Hadamard's inequalities by taking into account the differentiability of convex mappings. These fundamental results are pivotal to studying the various other problems in the field of inequalities. The validation of results is also supported with some visuals. [ABSTRACT FROM AUTHOR]

Interpretations of quantum physics are shown to presuppose the reality of consciousness. But if a minimal realism about the external world is true, then the consciousness presupposed by quantum reality cannot be only that of the scientific observer, cannot be only 'local' but must be 'global'. Global consciousness is argued to have all and only the essential properties of God. Quantum reality depends on God's consciousness and the physical world depends on quantum reality. Therefore, the physical world depends on God's consciousness. [ABSTRACT FROM AUTHOR]

This article explores the perceptions of school principals' quantum leadership behavior through the use of metaphors. The study found that school principals who exhibit quantum leadership qualities create interaction areas with their followers and demonstrate hardworking and devoted behavior. The metaphors used by participants highlight the various aspects of school principals' roles and responsibilities. Similar studies have also found metaphors such as father, dictator, and leader to describe school principals. Overall, the findings suggest that school principals play a crucial role in creating a positive and supportive school environment. [Extracted from the article]

The current understanding of long COVID (LC) is still limited. This review highlights key findings regarding the role of gut microbiota, mitochondria, and the main pathophysiological aspects of LC revealed by clinical studies, related to the complex interplay between infection, intestinal dysbiosis, dysfunctional mitochondria, and systemic inflammation generated in a vicious circle, reflecting the molecular and cellular processes from the "leaky gut" to the "leaky electron transport chain (ETC)" into a quantum leap. The heterogeneity of LC has hindered progress in deciphering all the pathophysiological mechanisms, and therefore, the approach must be multidisciplinary, with a special focus not only on symptomatic management but also on addressing the underlying health problems of the patients. It is imperative to further assess and validate the effects of COVID-19 and LC on the gut microbiome and their relationship to infections with other viral agents or pathogens. Further studies are needed to better understand LC and expand the interdisciplinary points of view that are required to accurately diagnose and effectively treat this heterogeneous condition. Given the ability of SARS-CoV-2 to induce autoimmunity in susceptible patients, they should be monitored for symptoms of autoimmune disease after contracting the viral infection. One question remains open, namely, whether the various vaccines developed to end the pandemic will also induce autoimmunity. Recent data highlighted in this review have revealed that the persistence of SARS-CoV-2 and dysfunctional mitochondria in organs such as the heart and, to a lesser extent, the kidneys, liver, and lymph nodes, long after the organism has been able to clear the virus from the lungs, could be an explanation for LC. [ABSTRACT FROM AUTHOR]

This paper explores the suitability of upcoming novel computing technologies, particularly adiabatic annealing based quantum computers, to solve fluid dynamics problems that form a critical component of several science and engineering applications. For our experiments, we start with a well-studied one-dimensional simple flow problem, and provide a framework to convert such problems in continuum to a form amenable for deployment on such quantum annealers. Since the DWave annealer returns multiple states sampling the energy landscape of the problem, we explore multiple solution selection strategies to approximate the solution of the problem. We analyze the continuum solutions obtained both qualitatively and quantitatively as well as their sensitivities to the particular solution selection scheme.

Pseudorandom functions (PRFs) are one of the foundational concepts in theoretical computer science, with numerous applications in complexity theory and cryptography. In this work, we study the security of PRFs when evaluated on quantum superpositions of inputs. The classical techniques for arguing the security of PRFs do not carry over to this setting, even if the underlying building blocks are quantum resistant. We therefore develop a new proof technique to show that many of the classical PRF constructions remain secure when evaluated on superpositions. [ABSTRACT FROM AUTHOR]

While attention to the provocative composer Maria de Baratta has increased in the past few years, mysteries about her past remain. Solutions inferred from available data remain uncertain. However, uncertainty itself, and the attendant multiple possibilities, are academically and scientifically supported by quantum theory, postcolonial and new materialist feminisms, ritual technologies like those depicted in de Baratta’s ballet Nahualismo, and known practices of some of the most vaunted artists of our time. Together, these disciplines bring understanding of Maria de Baratta and her ballet into a more multi-dimensional, thus more complete perspective. Paradoxes and quirks in her expressions of the indigenous culture of El Salvador (of which she was a descendant) emerge more as strategic preservation than appropriation.

Abstract This study aimed to examine the effect of quantum management skills on readiness for change with the mediating role of organizational agility. The current study was done by descriptive correlatiove research method. The statistical population of the study consisted of all employees of Zahedan Islamic Azad University (n=294). Using the Cochran formula, the sample size of 200 people was calculated and the applied sampling method was simple random. Azimi sanavi and Razavi Quantum Management Questionnaire (2011)was used for data collection; Sharifi & Young (2000) for Organizational Agility; and Dunham et al, (1989) for Readiness for Change questionnaire. The content validity of the questionnaire was confirmed. The reliability of the questionnaires was estimated based on Cronbach's coefficient as 0.881, 0.887, and 0.753, respectively. The data obtained from the questionnaires were analyzed at two levels of descriptive and inferential statistics, including Pearson's correlation coefficient test and structural equation modeling through Spss23 and Lisrel8.8 software. The findings obtained from the structural equation model showed that the standard coefficient between quantum management on readiness for change (0.19), quantum management on organizational agility (0.58), as well as readiness for change and organizational agility (0.64) and the indirect effect of quantum management on change readiness (0.47) were significant. Extended abstract Introduction Today's organizations, especially educational ons, are trying to surpass their competitors in terms of rapid and increasing developments. Organizations should consider many factors to achieve their goals. Therefore, managers should apply a management method with the highest efficiency for the organization. The thinkers of management science believe that managers in the 21st century should use new management methods to increase the capacity of employees. One of these types of management is quantum management. Quantum management is the empowerment of employees and is also an approach to improve the capabilities, powers, and effectiveness of managers and especially employees. Therefore, quantum management aims to increase the effectiveness and power of managers and employees of the organization. The concept of quantum management is an approach to improve the capabilities, powers, and effectiveness of managers and especially employees in the organization and to increase the effectiveness of managers and employees to prepare for organizational change and agility. The university is one of the most important fundamental elements for any change, transformation, and innovation; therefore, the realization of high goals, independence, and social and economic progress is provided through higher education. As a result, universities must be aware of new management features to have the necessary power to respond to changes. Theoretical Framework Quantum management was created based on the quantum paradigm in response to uncertainty in phenomena and the unpredictability of their behavior and environmental complexities, extensive and mutual interactions, and rapid and continuous changes that twenty-first-century organizations face with. Understanding quantum management creates a new perspective for understanding and managing today's organizations with the aforementioned characteristics. Quantum theory completely contradicts traditional management beliefs. This theory states that not only is the world unpredictable, but also there is not enough information to understand the current state. Readiness for change is the employees' positive views and opinions about the need for change and the positive consequences of change-related efforts for the employees and the organization (Peach et al., 2005). Readiness for change refers to the beliefs, attitudes, and conscious intentions of organizational members regarding the needed changes and the organizational capacity to successfully implement these changes. The dimensions of readiness for change in the organization are 1. Newness tolerance: it refers to the tolerance of the organization's members towards new and unexpected conditions. 2. Complexity tolerance: it refers to little, irrelevant, complex, unorganized, and sometimes conflicting or contradictory information in the organization. 3. Difficult situations tolerance: refers to the tolerance of organization members for situations with unsolvable problems in which answers are not easily obtained. Agility was introduced to the world by Yakoka Research Institute in 1991 as a strategy for organizations in the 21st century to quickly adapt to changes. Organizational agility is the ability to quickly respond to changes in the environment. Organizational agility is an organizational capability that managers of educational organizations should take it seriously to achieve organizational goals. Organizational agility has also the components of innovation, responsibility, speed in work, low complexity, high quality, flexibility, and readiness to react to changes, and is also very resistant to environmental problems and challenges. Research Methodology This research is applicable in terms of purpose, and descriptive correlative of structural equation modeling in terms of method. The statistical population includes all the employees of Zahedan Azad University, including 294 people (124 women and 170 men). Morgan's Table was used to determine the sample size, and 165 people were selected by simple random sampling. Three questionnaires were used to collect information. Quantum Management Skill Questionnaire: Azimi Sanavi and Razavi's Quantum Management Skill Questionnaire (Azimi Sanavi & Razavi, 2014) were used in seven dimensions; Quantum thinking, quantum trust, quantum action, quantum vision, quantum feeling, quantum knowledge and quantum existence; and 34 items to measure quantum management skills. This questionnaire was based on a Likert scale (from never to completely agree). Organizational Agility Questionnaire: Sharifi and Yang's Organizational Agility Questionnaire (Sharifi Yang, 2000) has been used in four dimensions of speed, competence, flexibility, and responsiveness; and 28 items with 5 options of the Likert type (from never to completely agree) to measure organizational agility Readiness for Change Questionnaire: Dunham et al's Readiness for Change Questionnaire (1989) was used in three dimensions of cognition towards change, emotional reaction to change, and behavioral tendency to change; and in 18 items to measure readiness for change. The questionnaire's validity of the current research is of the content type that was confirmed by the supervisor and the expert professors of educational management at Zahedan universities. To estimate the reliability coefficient of the questionnaires used in this research, 30 copies were first given to the subjects. According to Cronbach's alpha, its results were obtained 0.881 for the quantum management skill questionnaire, 0.811 for the organizational agility questionnaire, and 0.753 for the readiness for change questionnaire. These reliability coefficient values indicate the relatively good reliability of these questionnaires. In addition, Pearson's correlation coefficient and structural equation model were used to analyze the data. Calculations were carried out by spss23 and Lisrel8.8 software. Results According to correlation analysis, the relationship between quantum management and organizational agility (0.329), quantum management and readiness for change (0.826), and organizational agility and readiness for change (0.326) are positive and significant at the level of 0.01. The fit indices of the model were first calculated to examine the research model. The values of the model fit indices have a good fit. In addition, the data analysis showed that the significant numbers (t) between quantum management and readiness for change are 6.37, quantum management and organizational agility are 5.07, and readiness for change and organizational agility are 3.30. Since these values are greater than 1.96, the impact of quantum management and readiness for change, quantum management and organizational agility, and readiness for change and organizational agility are significant. In the corresponding figure, the standard coefficient between quantum management and readiness for change is 0.19, quantum management and organizational agility is 0.58, and readiness for change and organizational agility is 0.64. In addition, the indirect effect of quantum management on readiness for change (0.47) is significant. Since this effect impacts readiness for change through organizational agility, the mediating role of this variable in relation to quantum management on readiness for change is confirmed. Discussion and conclusion This research was carried out to investigate the effect of quantum management skills on readiness for change with the mediating role of organizational agility of Zahedan Islamic Azad University employees. Quantum skills in management try to use the laws, concepts, and principles of quantum theory in the form of metaphor and guidance to solve management problems and describe and explain organizational phenomena. The environment of today's organizations, especially higher education, values agility, innovation, change, vitality, and quality to succeed and increase employee productivity, which are all signs of quantum management. Therefore, having senior management with the necessary knowledge and skills, effective planning, leadership, and quantum culture is necessary to transfer from classical management to successful quantum management in the organization. The research findings regarding the first research hypothesis showed that the components of quantum management directly and significantly affect the readiness for change employees (0.19). The research findings regarding the second research hypothesis showed that quantum management components directly and significantly affect organizational agility (0.53). The research findings regarding the third research hypothesis showed that readiness for change directly and significantly affects organizational agility (0.64). Finally, the results obtained from the fourth research hypothesis showed that quantum management indirectly and significantly affects (0.47) readiness for change. According to the findings, the following suggestions are made to improve organizational agility, strengthen quantum management skills, and provide a context for change in university employees. University managers should not be afraid and have a high tolerance for ambiguity to change purposefully to be innovative and face unknown phenomena. University managers can increase employees’ adaptability to changes by creating an atmosphere of optimism and risk-taking among them, which will lead to the acceptance of change and transformation. Managers should also make the most of their knowledge capital and learning ability by using quantum management skills and applying a new and innovative scientific approach in organizations and pave the way to achieve agility by emphasizing efficient and effective policies and programs. According to the changes and developments that have been created in organizational management, faculty members should always be encouraged to learn new and updated skills to achieve an appropriate level of hardware and software technologies in the university. In this regard, they can use new and diverse methods to provide educational and research services with the necessary quality to increase satisfaction and agility. University managers can use innovative and new methods based on the ability of the employees to deal with the turbulent organizational environment and solve problems. The research limitation is limiting the statistical community of the research to the employees of Zahedan Azad University and the inability to generalize the results to other universities.

Schistosomiasis remains one of the severe ailments that affect both man and woman in South Africa. It is caused by blood fluke, and the rate at which it causes death is alarming in some areas of America, Asia as well as in African countries. It is a neglected tropical disease (NTD) with grave impact on social and economic situation of countries with low sanitation awareness. Thus, the search for lasting solution to this menace, has drawn the attention of many global researchers using phytochemicals from Scilla natalensis via in silico approach. The studied compounds were optimized using Spartan 14. Docking study was executed via Pymol, Autodock tool, Auto dock vina and discovery studio. Compound 9 with –8.2 kcal mol–1 and –9.4 kcal mol–1 as binding affinity proved to possess highest ability to inhibit glutathione S-transferase and thioredoxin-glutathione reductase than other compounds. Also, ADMET properties for compound 9 and praziquantel were explored and reported. Our findings may open the door for the design of novel drug-like molecules with better efficiency.

In recent years, the attention of scientists has been drawn to laser accelerators because they have a smaller size and more power than RT accelerators. But to upgrade these laser accelerators for hadron therapy, the theory governing these accelerators needs more investigation. The present paper represents the theory of laser-driven accelerators. Also, for the first time, we calculated the quantum relativistic important parameters such as the effective atomic number, z_eff, β=v⁄c , parameter, the density effect, δ⁄2, the shell effect,〖∆L〗_shell, Barkas effect, L_Barkas , Lynard Sorensen, effect, 〖∆L〗_LS, the standard perturbation function, L_stand, the first order general term of quantum perturbation theory, L_Pert, for proton and carbon beams in different energies versus the depth of penetration in the different human tissues using Maple programming, and our numerical results show that since the physical and chemical properties of carbon and hydrogen ions are not the same and carbon is heavier than hydrogen, carbon and hydrogen ion beams in hadron therapy do not have the same behavior inside the different human tissues.

The term Quale Mechanics is proposed here as describing the qualitative aspects of Quantum Mechanics that are susceptible of metaphysical considerations. The aim of Quale Mechanics is to distill the quantum discourse to its pillars in order to construct its proper – philosophical in nature – quale discourse. The framework of the discussion is initiated by revisiting the platonic approach of the manner in which knowledge is perceived/processed, and then by discussing the four sapiential stages before arriving at concept of the eide. The sensible-suprasensible dichotomy is exposed by contrasting aistheta to the eide. A discussion on the historical development and the foundation of the pillars of Quantum Mechanics is followed. This includes Planck’s solution for the black-body radiation problem with the introduction of quanta – in conflict with Newtonian physics – followed by Einstein’s explanation of the photoelectric effect and the implications involving the dual nature of light (particle vs. wave) and two generalizations of the quantum character of matter: the planetary model of the atom by Bohr, and the dual particle-wave character of electron demonstrated by de Broglie. The subsequent distillation of these semi-classical concepts into more abstract mathematical concepts by Heisenberg, Born, Dirac and Pauli are then reviewed – with Heisenberg’s uncertainty principle and with the concept of wavefunction as landmarks that unmistakably departs from the classical deterministic view of matter. A representative illustration of these achievements is given by the Casimir effect – with implications for gravity and an illustration of how vacuum can in fact not be considered to be truly void. Quantum Mechanics, as the most accurate mathematical framework which can be employed in order to describe and predict the natural phenomena occurring at the atom-size dimensions of reality, may thus be considered as the root from which the concept of Quale Mechanics is emerged in order to construct the parallel between the metaphysical existence and the quantum physical wavefunction collapse. It is concluded that, within its underlying, Quantum Mechanics is a (hopefully fruitful) reiteration of the Ancient Greek Weltanschauung.