JOURNAL ARTICLE

Nonadiabatic Holonomic Quantum Computation via Path Optimization

Li‐Na JiYan LiangPu ShenZheng‐Yuan Xue

Year: 2022 Journal:   Physical Review Applied Vol: 18 (4)   Publisher: American Physical Society

Abstract

Nonadiabatic holonomic quantum computation (NHQC) is implemented by fast\nevolution processes in a geometric way to withstand local noises. However,\nrecent works of implementing NHQC are sensitive to the systematic noise and\nerror. Here, we present a path-optimized NHQC (PONHQC) scheme based on the\nnon-Abelian geometric phase, and find that a geometric gate can be constructed\nby different evolution paths, which have different responses to systematic\nnoises. Due to the flexibility of the PONHQC scheme, we can choose an optimized\npath that can lead to excellent gate performance. Numerical simulation shows\nthat our optimized scheme can greatly outperform the conventional NHQC scheme,\nin terms of both fidelity and robustness of the gates. In addition, we propose\nto implement our strategy on superconducting quantum circuits with\ndecoherence-free subspace encoding with the experiment-friendly two-body\nexchange interaction. Therefore, we present a flexible NHQC scheme that is\npromising for the future robust quantum computation.\n

Keywords:
Holonomic Robustness (evolution) Computer science Computation Quantum decoherence Quantum computer Quantum Quantum gate Topology (electrical circuits) Path (computing) Algorithm Physics Mathematics Quantum mechanics Artificial intelligence

Metrics

10
Cited By
5.87
FWCI (Field Weighted Citation Impact)
71
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Quantum and electron transport phenomena
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
Quantum Information and Cryptography
Physical Sciences →  Computer Science →  Artificial Intelligence
Quantum Computing Algorithms and Architecture
Physical Sciences →  Computer Science →  Artificial Intelligence

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