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arXiv 2404.19082quant-ph

量子计算机的稳定性

Stability of Quantum Computers

Samudra Dasgupta

AI总结:

本论文研究transmon量子处理器中噪声参数的非平稳性问题,旨在解决制约量子计算潜力的持续性噪声挑战。

摘要:

量子计算的潜力巨大,有望相较于经典计算机在执行时间、能耗和存储需求方面实现超多项式级别的缩减。这项技术有潜力彻底变革诸多科学应用,例如用于理解分子结构的多体量子系统模拟、大整数分解、增强机器学习,并在此过程中颠覆电信、材料科学、制药和人工智能等行业。然而,量子计算的潜力受到噪声的制约,而噪声参数分布在时间和量子比特上的非平稳性使问题进一步复杂化。本论文聚焦于量子计算中持续存在的噪声问题,特别是transmon处理器中噪声参数的非平稳性。

英文摘要:

Quantum computing's potential is immense, promising super-polynomial reductions in execution time, energy use, and memory requirements compared to classical computers. This technology has the power to revolutionize scientific applications such as simulating many-body quantum systems for molecular structure understanding, factorization of large integers, enhance machine learning, and in the process, disrupt industries like telecommunications, material science, pharmaceuticals and artificial intelligence. However, quantum computing's potential is curtailed by noise, further complicated by non-stationary noise parameter distributions across time and qubits. This dissertation focuses on the persistent issue of noise in quantum computing, particularly non-stationarity of noise parameters in transmon processors.

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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