ReviewJournal of the Royal Society, Interface2022
Biology and medicine in the landscape of quantum advantages.
Review in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Applications of quantum computing in clinical care.Frontiers in medicine · 2025Pooled it
- Quantum computing in bioinformatics: a systematic review mapping.Briefings in bioinformatics · 2024Pooled it
- Novel Support Routing Algorithm for Quantum Satellite Networks with Finite Quantum Memory.Entropy (Basel, Switzerland) · 2026Article
- Quantum ensembling methods for healthcare and life science.Briefings in bioinformatics · 2026Article
- Quantum biology: From mechanisms to medicine.Clinical and translational medicine · 2026Review
- Information-theoretic and physical constraints on advanced neural signal decoding.Frontiers in systems neuroscience · 2026Article
- Quantum medicine: A quantum-mechanical framework for redox biology, disease and precision medicine.Clinical and translational medicine · 2026Review
- Multiscale computational genomics in Wilson disease: from atomic dynamics to clinical prediction.Frontiers in genetics · 2026Review
- Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement.Entropy (Basel, Switzerland) · 2025Article
- Surrogate optimization of variational quantum circuits.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Quantum Oncology: The Applications of Quantum Computing in Cancer Research.Journal of medical systems · 2025Review
- Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review.European journal of medical research · 2025Review
- A systematic review of quantum machine learning for digital health.NPJ digital medicine · 2025Article
- Quantum and complex-valued hybrid networks for multi-principal element alloys phase prediction.iScience · 2025Article
- Developing a quantum computing model for sequence annotation of interferon protein.Computational and structural biotechnology journal · 2025Article
- Future Potential of Quantum Computing and Simulations in Biological Science.Molecular biotechnology · 2024Review
- Haplotype-resolved assembly of diploid and polyploid genomes using quantum computing.Cell reports methods · 2024Article
- Predicting Brain Age and Gender from Brain Volume Data Using Variational Quantum Circuits.Brain sciences · 2024Article
- Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis.Diagnostics (Basel, Switzerland) · 2024Article
- Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics.Molecular biotechnology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Quantum computing holds substantial potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning methods for subtyping cancers on the basis of clinical features. This potential is encapsulated by the concept of a quantum advantage, which is contingent on a reduction in the consumption of a computational resource, such as time, space or data. Here, we distill the concept of a quantum advantage into a simple framework to aid researchers in biology and medicine pursuing the development of quantum applications. We then apply this framework to a wide variety of computational problems relevant to these domains in an effort to (i) assess the potential of practical advantages in specific application areas and (ii) identify gaps that may be addressed with novel quantum approaches. In doing so, we provide an extensive survey of the intersection of biology and medicine with the current landscape of quantum algorithms and their potential advantages. While we endeavour to identify specific computational problems that may admit practical advantages throughout this work, the rapid pace of change in the fields of quantum computing, classical algorithms and biological research implies that this intersection will remain highly dynamic for the foreseeable future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.