Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Proceedings of the National Academy of Sciences

Quantum computing

Gilles Brassard A, Isaac L. Chuang, Seth Lloyd, Christopher R. Monroe

Published Sep 15, 1998• 60 citations
Publisher

Abstract

Fast, low-cost, accurate detection of time-resolved dynamic nucleic acid conformational variation in response to small molecule binding: 1) enriches our understanding of nucleic acid structure, and regulation of structure by small molecules as ...Nucleic acids can undergo conformational changes upon binding small molecules. These conformational changes can be exploited to develop new therapeutic strategies through control of gene expression or triggering of cellular responses and can also be used ...

DOI
10.1073/pnas.95.19.11032

Related papers

Quantum-Sequencing: Biophysics of quantum tunneling through nucleic acids

Josep Casamada Ribot, Anushree Chatterjee, Prashant Nagpal

Bulletin of the American Physical Society•Mar 5, 2014•0 citations

A theoretical model of multi-agent quantum computing

F. Matthew Mihelic

The best design for practical quantum computing is one that emulates the multi-agent quantum logic function of natural biological systems. Such systems are theorized to be based upon a quantum gate formed by a nucleic acid Szilard engine (NASE) that converts Shannon entropy of encountered molecules into useful work of nucleic acid geometric reconfiguration. This theoretical mechanism is logically and thermodynamically reversible in this special case because it is literally constructed out of the (nucleic acid) information necessary for its function, thereby allowing the nucleic acid Szilard engine to function reversibly because, since the information by which it functions exists on both sides of the theoretical mechanism simultaneously, there would be no build-up of information within the theoretical mechanism, and therefore no irreversible thermodynamic energy cost would be necessary to erase information inside the mechanism. This symmetry breaking Szilard engine function is associated with emission and/or absorption of entangled photons that can provide quantum synchronization of other nucleic acid segments within and between cells. In this manner nucleic acids can be considered as a natural model of topological quantum computing in which the nonabelian interaction of genes can be represented within quantum knot/braid theory as anyon crosses determined by entropic loss or gain that leads to changes in nucleic acid covalent bond angles. This naturally occurring biological form of topological quantum computing can serve as a model for workable man-made multi-agent quantum computing systems.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE•May 13, 2011•1 citation

Hamiltonian Analysis of Amino Acid Sequences by Quantum Computing

Sevdanur GENÇ

Rapid advances in molecular biology and bioinformatics have created a great need for the analysis and processing of genomic data. This need challenges current computational capacity, given the size and complexity of genetic information being processed by conventional computers.

•Jan 1, 2023•0 citations

From the Quantum to The Macroscopic Level A New Systemic Model for Our Complex System

Sara Diani

As a Complex System, our body acts as a whole system connected to the environmental incitements. It is ordered, coherent, tries to maintain the least possible entropy, saving the greatest amount of energy. We can observe its active systemic response to environmental information both when it is healthy and ill. To explain the dynamics of the systemic regulative network a theoretical model is proposed, with a comprehensive approach that allows seeing the entire regulative syste m as a continuous unicuum. The paper analyzes two points of view: 1) the connections between the quantum level and the classical one, through some principles of the QFT and through the Coherence Domains. The system is modeled as a field described by the wa ve function, with synchronous and consistent events, driven in a global computing by the quantum potential Q. The quantum potential implies the non locality, and it needs only ultra weak waves to occur, so it explains how the rapid and global activation of the organism in response to punctiform information work. The initial hypothesis is that some consistent quantum phenomena are amplified through the systemic regulative network until they become macroscopic observable. This is possible because of Coherence Domains. 2) The reactions of the different systemic networks to perturbations/punctiform information, with the first attempt to model and measure information in biology, going beyond the Shannon and Turing theories. Hopfield Networks and an informational point of view are used to address the crucial informational and organizational role of proteins and nucleic acids. With this new frame we could develop innovative therapeutic strategies, and also evolve new experimental way to make our clinical observation more precise.

•Jan 10, 2020•0 citations

Interface-Driven Peptide Folding: Quantum Computations on Simulated Membrane Surfaces

Daniel Conde-Torres, Mariamo Mussa Juane, Daniel Faílde +3 more

Antimicrobial peptides (AMPs) play important roles in cancer, autoimmune diseases, and aging. A critical aspect of AMP functionality is their targeted interaction with pathogen membranes, which often possess altered lipid compositions. Designing AMPs with enhanced therapeutic properties relies on a nuanced understanding of these interactions, which are believed to trigger a rearrangement of these peptides from random coil to alpha-helical conformations, essential for their lytic action. Traditional supercomputing has consistently encountered difficulties in accurately modeling these structural changes, especially within membrane environments, thereby opening an opportunity for more advanced approaches. This study extends an existing quantum computing algorithm to address the complexities of antimicrobial peptide interactions at interfaces. Our approach enables the prediction of the optimal conformation of peptides located in the transition region between hydrophilic and hydrophobic phases, akin to lipid membranes. The new method has been applied to model the structure of three 10-amino-acid-long peptides, each exhibiting hydrophobic, hydrophilic, or amphipathic properties in different media and at interfaces between solvents of different polarity. Notably, our approach does not demand a higher number of qubits compared to simulations in homogeneous media, making it more feasible with current quantum computing resources. Despite existing limitations in computational power and qubit accessibility, our findings demonstrate the significant potential of quantum computing in accurately characterizing complex biomolecular processes, particularly the folding of AMPs at membrane models. This research paves the way for future advances in quantum computing to enhance the accuracy and applicability of biomolecular simulations.

arXiv:2401.05075•Jan 10, 2024•1 citation

Distributed Quantum-DNA Hybrid Architectures for Scalable Molecular Computing

Vasile Vancea

Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)•Mar 1, 2026•0 citations
Fast, low-cost, accurate detection of time-resolved dynamic nucleic acid conformational variation in response to small molecule binding: 1) enriches our understanding of nucleic acid structure, and regulation of structure by small molecules as ...Nucleic acids can undergo conformational changes upon binding small molecules. These conformational changes can be exploited to develop new therapeutic strategies through control of gene expression or triggering of cellular responses and can also be used ...
The best design for practical quantum computing is one that emulates the multi-agent quantum logic function of natural biological systems. Such systems are theorized to be based upon a quantum gate formed by a nucleic acid Szilard engine (NASE) that converts Shannon entropy of encountered molecules into useful work of nucleic acid geometric reconfiguration. This theoretical mechanism is logically and thermodynamically reversible in this special case because it is literally constructed out of the (nucleic acid) information necessary for its function, thereby allowing the nucleic acid Szilard engine to function reversibly because, since the information by which it functions exists on both sides of the theoretical mechanism simultaneously, there would be no build-up of information within the theoretical mechanism, and therefore no irreversible thermodynamic energy cost would be necessary to erase information inside the mechanism. This symmetry breaking Szilard engine function is associated with emission and/or absorption of entangled photons that can provide quantum synchronization of other nucleic acid segments within and between cells. In this manner nucleic acids can be considered as a natural model of topological quantum computing in which the nonabelian interaction of genes can be represented within quantum knot/braid theory as anyon crosses determined by entropic loss or gain that leads to changes in nucleic acid covalent bond angles. This naturally occurring biological form of topological quantum computing can serve as a model for workable man-made multi-agent quantum computing systems.
As a Complex System, our body acts as a whole system connected to the environmental incitements. It is ordered, coherent, tries to maintain the least possible entropy, saving the greatest amount of energy. We can observe its active systemic response to environmental information both when it is healthy and ill. To explain the dynamics of the systemic regulative network a theoretical model is proposed, with a comprehensive approach that allows seeing the entire regulative syste m as a continuous unicuum. The paper analyzes two points of view: 1) the connections between the quantum level and the classical one, through some principles of the QFT and through the Coherence Domains. The system is modeled as a field described by the wa ve function, with synchronous and consistent events, driven in a global computing by the quantum potential Q. The quantum potential implies the non locality, and it needs only ultra weak waves to occur, so it explains how the rapid and global activation of the organism in response to punctiform information work. The initial hypothesis is that some consistent quantum phenomena are amplified through the systemic regulative network until they become macroscopic observable. This is possible because of Coherence Domains. 2) The reactions of the different systemic networks to perturbations/punctiform information, with the first attempt to model and measure information in biology, going beyond the Shannon and Turing theories. Hopfield Networks and an informational point of view are used to address the crucial informational and organizational role of proteins and nucleic acids. With this new frame we could develop innovative therapeutic strategies, and also evolve new experimental way to make our clinical observation more precise.
Antimicrobial peptides (AMPs) play important roles in cancer, autoimmune diseases, and aging. A critical aspect of AMP functionality is their targeted interaction with pathogen membranes, which often possess altered lipid compositions. Designing AMPs with enhanced therapeutic properties relies on a nuanced understanding of these interactions, which are believed to trigger a rearrangement of these peptides from random coil to alpha-helical conformations, essential for their lytic action. Traditional supercomputing has consistently encountered difficulties in accurately modeling these structural changes, especially within membrane environments, thereby opening an opportunity for more advanced approaches. This study extends an existing quantum computing algorithm to address the complexities of antimicrobial peptide interactions at interfaces. Our approach enables the prediction of the optimal conformation of peptides located in the transition region between hydrophilic and hydrophobic phases, akin to lipid membranes. The new method has been applied to model the structure of three 10-amino-acid-long peptides, each exhibiting hydrophobic, hydrophilic, or amphipathic properties in different media and at interfaces between solvents of different polarity. Notably, our approach does not demand a higher number of qubits compared to simulations in homogeneous media, making it more feasible with current quantum computing resources. Despite existing limitations in computational power and qubit accessibility, our findings demonstrate the significant potential of quantum computing in accurately characterizing complex biomolecular processes, particularly the folding of AMPs at membrane models. This research paves the way for future advances in quantum computing to enhance the accuracy and applicability of biomolecular simulations.