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量子计算在生物科学前沿。

Quantum computing at the frontiers of biological sciences.

机构信息

Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.

Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.

出版信息

Nat Methods. 2021 Jul;18(7):701-709. doi: 10.1038/s41592-020-01004-3.

DOI:10.1038/s41592-020-01004-3
PMID:33398186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8254820/
Abstract

Computing plays a critical role in the biological sciences but faces increasing challenges of scale and complexity. Quantum computing, a computational paradigm exploiting the unique properties of quantum mechanical analogs of classical bits, seeks to address many of these challenges. We discuss the potential for quantum computing to aid in the merging of insights across different areas of biological sciences.

摘要

计算在生物科学中扮演着至关重要的角色，但面临着规模和复杂性不断增加的挑战。量子计算是一种利用经典位的量子力学模拟的计算范例，旨在解决其中的许多挑战。我们讨论了量子计算在帮助整合生物科学不同领域的见解方面的潜力。

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本文引用的文献

[1]
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne.

Quantum Mach Intell. 2020

[2]
Quantum supremacy using a programmable superconducting processor.

Nature. 2019-10-23

[3]
The U.S. National Quantum Initiative: From Act to action.

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Nature. 2019-3-13

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Phys Rev Lett. 2019-2-1

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Neuron. 2019-2-7

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The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis.

Nat Commun. 2018-3-20

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