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On the Possibility of Quantum Coherence in Biological Systems with Application to Quantum Computing

Nicolaos E. Mavromatos, A. Keith Powell

Lecture notes in physicsDec 9, 20031 citation

Biology and medicine in the landscape of quantum advantages

Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian Giacomo Guerreschi +1 more

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.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.

arXiv:2112.00760Journal of The Royal Society InterfaceNov 1, 202287 citations

Quantum computing at the frontiers of biological sciences

Prashant S. Emani, Jonathan Warrell, Alan Anticevic +14 more

arXiv:1911.07127Nature MethodsJan 4, 2021164 citations

Quantum Computational Biology

Umair Masood awan

Quantum computational biology is an advanced interdisciplinary field that integrates the principles of quantum mechanics with computational biology to solve complex biological problems, and for biomedical students and professionals, authoring a book on this subject would provide a foundational understanding of how quantum algorithms can model molecular interactions, simulate protein folding, analyze genomic data at unprecedented speeds, and optimize drug discovery processes, thereby bridging the gap between theoretical quantum computing and practical biomedical applications to revolutionize diagnostics and therapeutics.Quantum computational biology is an advanced interdisciplinary field that integrates the principles of quantum mechanics with computational biology to solve complex biological problems, and for biomedical students and professionals, authoring a book on this subject would provide a foundational understanding of how quantum algorithms can model molecular interactions, simulate protein folding, analyze genomic data at unprecedented speeds, and optimize drug discovery processes, thereby bridging the gap between theoretical quantum computing and practical biomedical applications to revolutionize diagnostics and therapeutics.

May 3, 20260 citations

Quantum Biocomputing in Quantum Biology Volume II

Hafiz Md. Hasan Babu

Springer eBooksJan 1, 20250 citations

Quantum Physics for Scientists and Technologists: Fundamental Principles and Applications for Biologists, Chemists, Computer Scientists, and Nanotechnologists

Paul Sanghera

Presenting quantum physics for the non-physicists, Quantum Physics for Scientists and Technologists is a self-contained, cohesive, concise, yet comprehensive, story of quantum physics from the fields of science and technology, including computer science, biology, chemistry, and nanotechnology. The authors explain the concepts and phenomena in a practical fashion with only a minimum amount of math. Examples from, and references to, computer science, biology, chemistry, and nanotechnology throughout the book make the material accessible to biologists, chemists, computer scientists, and non-technPresenting quantum physics for the non-physicists, Quantum Physics for Scientists and Technologists is a self-contained, cohesive, concise, yet comprehensive, story of quantum physics from the fields of science and technology, including computer science, biology, chemistry, and nanotechnology. The authors explain the concepts and phenomena in a practical fashion with only a minimum amount of math. Examples from, and references to, computer science, biology, chemistry, and nanotechnology throughout the book make the material accessible to biologists, chemists, computer scientists, and non-techn

Apr 12, 20117 citations

Towards practical applications in quantum computational biology

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