Abstract

Quantum outperforms classical Quantum computers are expected to be better at solving certain computational problems than classical computers. This expectation is based on (well-founded) conjectures in computational complexity theory, but rigorous comparisons between the capabilities of quantum and classical algorithms are difficult to perform. Bravyi et al. proved theoretically that whereas the number of “steps” needed by parallel quantum circuits to solve certain linear algebra problems was independent of the problem size, this number grew logarithmically with size for analogous classical circuits (see the Perspective by Montanaro). This so-called quantum advantage stems from the quantum correlations present in quantum circuits that cannot be reproduced in analogous classical circuits. Science , this issue p. 308 ; see also p. 289

Keywords

Quantum algorithmQuantum computerQuantumComputer scienceQubitQuantum nonlocalityQuantum error correctionQuantum sortQuantum circuitQuantum networkQuantum Fourier transformConstant (computer programming)Quantum informationQuantum gateTheoretical computer scienceAlgorithmMathematicsQuantum mechanicsPhysics

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Year
2018
Type
article
Volume
362
Issue
6412
Pages
308-311
Citations
396
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Sergey Bravyi, David Gosset, Robert König (2018). Quantum advantage with shallow circuits. Science , 362 (6412) , 308-311. https://doi.org/10.1126/science.aar3106

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DOI
10.1126/science.aar3106