利用量子信息推动计算发展

IF 12 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Nature computational science Pub Date : 2024-04-26 DOI:10.1038/s43588-024-00628-1
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摘要

我们重点介绍在 2024 年美国物理学会三月会议上就量子计算和量子算法展开的热烈讨论,并邀请大家提交能够显著推动量子信息科学领域发展的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Harnessing quantum information to advance computing
We highlight the vibrant discussions on quantum computing and quantum algorithms that took place at the 2024 American Physical Society March Meeting and invite submissions that notably drive the field of quantum information science forward.
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来源期刊
CiteScore
11.70
自引率
0.00%
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0
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Real-time non-line-of-sight computational imaging using spectrum filtering and motion compensation. Deep generative design of RNA aptamers using structural predictions. Extracting reliable quantum outputs for noisy devices. Provable bounds for noise-free expectation values computed from noisy samples. E-waste challenges of generative artificial intelligence.
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