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Configurable sublinear circuits for quantum state preparation.
- Source :
-
Quantum Information Processing . Feb2023, Vol. 22 Issue 2, p1-27. 27p. - Publication Year :
- 2023
-
Abstract
- The theory of quantum algorithms promises unprecedented benefits of harnessing the laws of quantum mechanics for solving certain computational problems. A prerequisite for applying quantum algorithms to a wide range of real-world problems is loading classical data to a quantum state. Several circuit-based methods have been proposed for encoding classical data as probability amplitudes of a quantum state. However, in these methods, either quantum circuit depth or width must grow linearly with the data size, nullifying the advantage of representing exponentially many classical data in a quantum state. In this paper, we present a configurable bidirectional procedure that addresses this problem by tailoring the resource trade-off between quantum circuit width and depth. In particular, we show a configuration that encodes an N-dimensional classical data using a quantum circuit whose width and depth both grow sublinearly with N. We demonstrate proof-of-principle implementations on five quantum computers accessed through the IBM and IonQ quantum cloud services. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15700755
- Volume :
- 22
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Quantum Information Processing
- Publication Type :
- Academic Journal
- Accession number :
- 162665335
- Full Text :
- https://doi.org/10.1007/s11128-023-03869-7