1. Digitized adiabatic quantum computing with a superconducting circuit
- Author
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Andrew Dunsworth, Zijun Chen, Matthew Neeley, Lucas Lamata, Antonio Mezzacapo, Julian Kelly, Josh Mutus, John M. Martinis, Charles Neill, Yu Chen, U. Las Heras, Amit Vainsencher, E. Lucero, James Wenner, Ted White, Rami Barends, Chris Quintana, Benjamin Chiaro, Pedram Roushan, Hartmut Neven, Ryan Babbush, Alireza Shabani, Brooks Campbell, Austin G. Fowler, Enrique Solano, A. Megrant, Daniel Sank, Peter O'Malley, and Evan Jeffrey
- Subjects
Quantum Physics ,Multidisciplinary ,Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Superconductivity ,FOS: Physical sciences ,Quantum simulator ,Topology ,Adiabatic quantum computation ,01 natural sciences ,Quantum logic ,010305 fluids & plasmas ,Superconductivity (cond-mat.supr-con) ,Quantum circuit ,Qubit ,Mesoscale and Nanoscale Physics (cond-mat.mes-hall) ,0103 physical sciences ,Statistical physics ,Quantum information ,Quantum Physics (quant-ph) ,010306 general physics ,Adiabatic process ,Quantum computer - Abstract
A major challenge in quantum computing is to solve general problems with limited physical hardware. Here, we implement digitized adiabatic quantum computing, combining the generality of the adiabatic algorithm with the universality of the digital approach, using a superconducting circuit with nine qubits. We probe the adiabatic evolutions, and quantify the success of the algorithm for random spin problems. We find that the system can approximate the solutions to both frustrated Ising problems and problems with more complex interactions, with a performance that is comparable. The presented approach is compatible with small-scale systems as well as future error-corrected quantum computers., Comment: Main text: 7 pages, 5 figures. Supplementary: 12 pages, 9 figures
- Published
- 2016
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