Quantum computing at the frontiers of biological sciences

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...

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Veröffentlicht in:	Nature methods 2021-07, Vol.18 (7), p.701-709
Hauptverfasser:	Emani, Prashant S., Warrell, Jonathan, Anticevic, Alan, Bekiranov, Stefan, Gandal, Michael, McConnell, Michael J., Sapiro, Guillermo, Aspuru-Guzik, Alán, Baker, Justin T., Bastiani, Matteo, Murray, John D., Sotiropoulos, Stamatios N., Taylor, Jacob, Senthil, Geetha, Lehner, Thomas, Gerstein, Mark B., Harrow, Aram W.
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114/1305 631/114/2397 631/1647/767 631/208/1515 631/378/116 Algorithms Big Data Biochemical Research Methods Biochemistry & Molecular Biology Bioinformatics Biological computing Biological Microscopy Biological research Biological Science Disciplines Biological Techniques Biology, Experimental Biomedical and Life Sciences Biomedical Engineering/Biotechnology Comment Computer applications Computers Computing Methodologies Genetics Genomics Humans Life Sciences Life Sciences & Biomedicine Methods Nervous System Diseases - etiology Neuroimaging - methods Neurosciences Proteomics Quantum computing Quantum mechanics Quantum Theory Science & Technology Sequence Analysis
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Beschreibung
Zusammenfassung:	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.
ISSN:	1548-7091 1548-7105
DOI:	10.1038/s41592-020-01004-3