Quantum computing at the frontiers of biological sciences
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qRAM might provide the ability to coherently enquire a big dataset as a superposition of qubits in a quantum computer.
“However, a tentative possibility for a quantum hardware solution is qRAM. It might provide the ability to coherently enquire a big dataset as a superposition of qubits in a quantum computer.”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [8]
SpinQ Technology developed the first desktop quantum computer with a high-speed processor.
“Recently, a startup company from China known as SpinQ Technology informed about the development of the first-desktop quantum computer with a high-speed processor [8, 19, 38, 39].”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [8]
The Epilogue discusses quantum-computer hardware, including ion-trap machines and machines available via the web, but does not mention SpinQ Technology. Searches for SpinQ and a desktop quantum computer found no passage addressing the claimed first desktop machine or its high-speed processor. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn recent years, the possibility of using quantum instead of or in combination with classical computing to solve biocomputing problems has emerged.
“Interestingly, in recent years the possibility of using quantum instead of or in combination with classical computing to solve biocomputing problems has emerged [46, 47].”
From Quantum computing algorithms: getting closer to critical problems in computational biology (2022) · cites this paper as [46]
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Quantum Computing for Genomics: Conceptual Challenges and Practical Perspectives
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Parallelizing Quantum Simulation With Decision Diagrams
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FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot NodesPreprint
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The Sound of Swarm. Auditory Description of Swarm Robotic Movements
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- Authors
- Emani, P. S., Warrell, J., Anticevic, A., Bekiranov, S., Gandal, M., McConnell, M. J., Sapiro, G., Aspuru-Guzik, A., Baker, J. T., Bastiani, M., Murray, J. D., Sotiropoulos, S. N., Taylor, J., Senthil, G., Lehner, T., Gerstein, M. B., & Harrow, A. W.
- Affiliations
- Yale University (US)
- University of Virginia (US)
- University of California, Los Angeles (US)
- Lieber Institute for Brain Development (US)
- Duke University (US)
- Harvard University (US)
- University of Nottingham (GB)
- Nottingham University Hospitals NHS Trust (GB)
- National Institute of Standards and Technology (US)
- New York Genome Center (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Lehner, Thomas
- Gerstein, Mark B.
- Harrow, Aram W.
- ORCID
- Venue
- Nature Methods
- Published
- 2021-01-04
- Volume
- 18
- Issue
- 7
- Pages
- 701-709
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC8254820
- OpenAlex
- W2987160512
- Cited by
- 163
- References
- 48
- Citations by year
- 2026: 21 · 2025: 31 · 2024: 32 · 2023: 36 · 2022: 24 · 2021: 17 · 2020: 1
- FWCI
- 9.63
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- National Institutes of Health (5r01mh120093-04, UL1TR001863)
- Engineering and Physical Sciences Research Council (EP/L023067/1)
- National Institute of Mental Health (U01MH116492, R01MH121521, U01MH106882, R01‐MH120093, R01MH137578)
- National Institute of Allergy and Infectious Diseases (R01AI143916, R01AI134895)
- National Center for Advancing Translational Sciences
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- quantum computing, computational complexity, qubits, interdisciplinary research
- MeSH terms
- Big Data, Algorithms, Biological Science Disciplines, Computers, Computing Methodologies, Genetics, Humans, Nervous System Diseases, Quantum Theory, Sequence Analysis, Genomics, Neuroimaging
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