超级计算机量子计算优势基准测试

IF 4.4 Q1 OPTICS
Junjie Wu, Yong Liu
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引用次数: 0

摘要

实现量子计算优势(也称为量子优势)是一个重要的里程碑,在这个里程碑上,量子计算机解决问题的速度明显快于世界上最强大的经典计算机。在光子平台和超导平台上,玻色子采样和随机量子电路采样这两项任务分别在实验中展现了量子优势。经典基准测试非常重要,但也极具挑战性,因为这些任务对经典计算机来说难以完成。本研究回顾了这两项采样任务的模型、算法和大规模模拟。这些方法对于当前的噪声中量子(NISQ)系统和未来的容错量子计算研究仍具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Benchmarking Quantum Computational Advantages on Supercomputers

Benchmarking Quantum Computational Advantages on Supercomputers

The achievement of quantum computational advantage, also known as quantum supremacy, is a major milestone at which a quantum computer can solve a problem significantly faster than the world's most powerful classical computers. Two tasks, boson sampling and random quantum circuit sampling, have experimentally exhibited quantum advantages on photonic and superconducting platforms respectively. Classical benchmarking is essential, yet challenging, because these tasks are intractable for classical computers. This study reviews models, algorithms and large-scale simulations of these two sampling tasks. These approaches continue to hold substantial significance for research in both current noisy intermediate-scale quantum (NISQ) systems and future fault-tolerant quantum computing.

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CiteScore
7.90
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