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arXiv 2201.01452quant-ph
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量子混沌与电路参数优化

Quantum Chaos and Circuit Parameter Optimization

Joonho Kim, Yaron Oz, Dario Rosa

摘要:

我们探讨了随机参数下变化电路态的量子混沌诊断,并研究了它们与电路可表达性和控制参数优化的相关性。通过测量约化密度矩阵的算符扩展系数和模哈密顿量的本征值谱,确定了随机矩阵模型在高深度电路状态下的普遍结构.我们构造不同的层酉对应的GOE和GUE分布和量化他们的VQA性能。我们的研究还强调了量子混沌的OTOC和BGS型诊断之间的潜在紧张关系。

英文摘要:

We explore quantum chaos diagnostics of variational circuit states at random parameters and study their correlation with the circuit expressibility and the optimization of control parameters. By measuring the operator spreading coefficient and the eigenvalue spectrum of the modular Hamiltonian of the reduced density matrix, we identify the universal structure of random matrix models in high-depth circuit states. We construct different layer unitaries corresponding to the GOE and GUE distributions and quantify their VQA performance. Our study also highlights a potential tension between the OTOC and BGS-type diagnostics of quantum chaos.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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