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Quantum computing at the frontiers of biological sciences
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“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]
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“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]
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“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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Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526
A fast quantum mechanical algorithm for database search
Grover, L. K. (1996) · Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96 · doi:10.1145/237814.237866 · Cited by 8,830
Quantum Computation and Quantum Information: 10th Anniversary Edition
Nielsen, M. A., & Chuang, I. L. (2012) · doi:10.1017/cbo9780511976667 · Cited by 8,436
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
Quantum supremacy using a programmable superconducting processor
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1666-5 · Cited by 7,720
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
Research works printed but not linked: 10
- Li, Z., Li, J., Dattani, N. S., Umrigar, C. J. & Chan, G. K. L. J. Chem. Phys. 150, 024302 (2019).
- Ambainis, A. & Kokainis, M. in Proc. 49th Annual ACM SIGACT Symposium on Theory of Computing – STOC 2017 989–1002 (2017).
- Kadowaki, T. & Nishimori, H. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics 58, 5355–5363 (1998).
- Srinivasan, S., Downey, C. & Boots, B. in Advances in Neural Information Processing Systems 31 (eds. Bengio, S. et al.) 10338–10347 (Curran Associates, 2018).
- Amin, M. H., Andriyash, E., Rolfe, J., Kulchytskyy, B. & Melko, R. Phys. Rev. X 8, 021050 (2018).
- Dezfouli, A., Morris, R., Ramos, F., Dayan, P. & Balleine, B. W. in Adv. Neural Information Processing Systems 31 (eds. Bengio, S. et al.) 4228–4237 (Curran Associates, 2018).
- Farhi, E. & Neven, H. Classification with quantum neural networks on near term processors. Preprint at https://arxiv.org/abs/1802.06002 (2018). · arXiv
- Tegmark, M. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics 61, 4194–4206 (2000).
- Marr, D. C. & Poggio, T. Neurosci. Res. Program Bull. 15, 470–488 (1977).
- Van Meter, R., Itoh, K. M. & Ladd, T. D. in MS+S 2006 – Controllable Quantum States: Mesoscopic Superconductivity and Spintronics, Proceedings of the International Symposium 183–188 (World Scientific Publishing, 2008).
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Almutlg, A., Mohamed, A. A., Rahman, A., & Hessian, H. A. (2024) · Alexandria Engineering Journal · doi:10.1016/j.aej.2024.01.053 · Cited by 4
Solving the homogeneous Bethe-Salpeter equation with a quantum annealer
Fornetti, F., Gnech, A., Frederico, T., Pederiva, F., Rinaldi, M., Roggero, A., Salmè, G., Scopetta, S., & Viviani, M. (2024) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.110.056012 · Cited by 4
The π–π architectures reveal a hidden quantum code linking aromaticity to light interaction
Aroche, R. R., Ortiz-García, Y. M., Moreno, E. C. S., Leal, L. R., Machado-Sulbarán, A. C., & Leal, A. R. (2025) · Scientific Reports · doi:10.1038/s41598-025-10722-7 · Cited by 5
Molecular Machines for Quantum Error Correction
Guerreiro, T. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.030336 · Cited by 4
Quantum-like Data Modeling in Applied Sciences: Review
Lipovetsky, S. (2023) · Stats · doi:10.3390/stats6010021 · Cited by 4
Quantum technology for military applications
Krelina, M. (2021) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-021-00113-y · Cited by 237
Sung, J., Park, S.-M., & Cheong, J. (2026) · Trends in biotechnology · doi:10.1016/j.tibtech.2026.01.008 · Cited by 5
Wang, Z., Zhou, H., Chen, G.-L., Yilong, A., Chun-huo, H., Lu, Y., Tang, K.-H., Du, L., Hua-bin, Z., & Huang, X.-Q. (2008) · PubMed · Cited by 3
Fostering multidisciplinary collaborations
(2021) · Nature Computational Science · doi:10.1038/s43588-021-00123-x · Cited by 3
Integrating Quantum Computing in Bioinformatics and Biomedical Research
Selladurai, P., Dahiya, R., Kandasamy, B., & Radhakrishnan, V. (2024) · Wiley eBooks · doi:10.1002/9781394270910.ch15 · Cited by 4
Generative AI with Quantum Computing for Visualizing Proteins in Mixed Reality
Roosan, D., & Khou, T. (2025) · Springer series on cultural computing · doi:10.1007/978-3-031-86551-0_19 · Cited by 2
Hardness of measuring magic resource
Garcia, R. J., Bhole, G., Bu, K., Chen, L., Arthanari, H., & Jaffe, A. (2025) · Physical Review Research · doi:10.1103/qcqv-3ym8 · Cited by 5
Quantum computational insurance and actuarial science
Liu, H., Zhuang, X., Wang, C., Li, Q.-S., Dou, M., Chen, Z., Xue, C., Wu, Y.-C., Guo, G., & Guo, G. (2025) · Science China Information Sciences · doi:10.1007/s11432-024-4411-8 · Cited by 2
On the potential of microtubules for scalable quantum computation
Mavromatos, N. E., Mershin, A., & Nanopoulos, D. V. (2025) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-025-07022-4 · Cited by 2
Metadata
- 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
- 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
- Physical Sciences › Mathematics › Theoretical Computer Science › DNA and Biological Computing
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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