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

arXiv:1911.07127 · Nature Methods

Quantum computing at the frontiers of biological sciences

Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov, Michael J. Gandal, Michael J. McConnell, Guillermo Sapiro, Alán Aspuru‐Guzik, Justin T. Baker, Matteo Bastiani, John D. Murray, Stamatios N. Sotiropoulos, Jacob M. Taylor, Geetha Senthil, Thomas Lehner, Mark Gerstein, Aram W. Harrow

Published Jan 4, 2021• 164 citations
arXivHTMLPDF
DOI
10.1038/s41592-020-01004-3

Related papers

Future Potential of Quantum Computing and Simulations in Biological Science

Soumen Pal, Manojit Bhattacharya, Snehasish Dash +2 more

Molecular Biotechnology•Sep 17, 2023•38 citations

Quantum-Enhanced Synthetic and Engineered Biological Intelligence Integrating AI, SI, and Living Systems for the Future of Conscious Computation and Neurosciences — Global Vision 2026 & Beyond.

Dr. Tirath Singh Saini

The emergence of quantum-enhanced synthetic and engineered biological intelligence (QEBI) represents one of the most transformative frontiers in 21st-century science. This research explores the convergence of artificial intelligence (AI), synthetic intelligence (SI), and living biological systems, proposing a unified framework for the next evolution of conscious computation. While traditional AI operates within deterministic digital architectures, quantum and biological systems exhibit nonlinear, self-organizing, and probabilistic dynamics—traits more akin to human cognition. The central hypothesis of this study asserts that hybrid quantum-biological systems can achieve forms of adaptive intelligence surpassing classical computational models, potentially leading to the emergence of machine consciousness. Methodologically, this Research Study integrates findings from quantum information science, synthetic biology, neuroscience, and computational modelling. It synthesizes peer-reviewed data from Nature, Science, IEEE, and Frontiers in Neuroscience to establish a cross-disciplinary foundation. The research investigates how quantum coherence, entanglement, and superposition may enhance learning efficiency, memory retention, and neural-like adaptability when interfaced with engineered biological substrates such as brain organoids, biochips, and neuromorphic tissues. Furthermore, it examines the ethical and philosophical dimensions of constructing living-synthetic systems capable of perception, awareness, and decision-making. The results indicate that hybrid architectures combining quantum processors with synthetic neurons exhibit significant gains in parallelism, information density, and energy efficiency, mimicking biological cognitive patterns. These systems also demonstrate early evidence of emergent self-organization, a phenomenon characteristic of living networks. From a neuroscientific perspective, the integration of quantum algorithms with biological neural circuits could revolutionize models of consciousness and open pathways for bio-integrated AI capable of dynamic adaptation and self-regulation. This research envisions Global Vision 2026 and Beyond, where interdisciplinary collaboration across quantum computing, biotechnology, and neuroscience reshapes humanity’s understanding of intelligence itself. Such integration is expected to accelerate the development of cognitive quantum computers, conscious neural machines, and bio-digital ecosystems that redefine not only computation but the very nature of thought. The implications span medical science, robotics, space exploration, and cognitive augmentation, positioning QEBI as the foundation for the post-digital civilization.

•Oct 26, 2025•0 citations

THE FRONTIER NEXUS FROM QUANTUM SUPREMACY TO BIOLOGICAL IMMORTALITY A Convergent Framework of Quantum Computing, Gene Editing, Brain-Computer Interfaces, Artificial General Intelligence, and Longevity Science

mohamed kamal arafa el-rakhawi

The Frontier Nexus by Dr. M.K.A. El-Rakhawi (DOI: 10.5281/zenodo.23483985) unifies five convergent revolutions: Quantum Computing, CRISPR, mRNA therapeutics, BCIs, AGI, and longevity science. Pillar I details quantum algorithms, correcting HHL complexity to O(s²κ²logN) where κ is condition number, and post-quantum cryptography. Pillar II models CRISPR efficiency as η_HDR = η_cut × [k_HDR/(k_HDR+k_NHEJ)] × P(S/G2), capturing NHEJ competition, and mRNA LNP design with m1Ψ modifications. Pillar III covers BCIs using Georgopoulos population vector decoding v(t)=Σr_i(t)PD_i extended by Kalman filters, and AlphaFold’s Evoformer architecture for protein design. Pillar IV addresses the singularity convergence, ethical governance excluding naturally occurring phenomena per Myriad/Alice doctrines, and technological sovereignty. The framework mathematically integrates epigenetic aging dE/dt and quantum-biological synergy, offering a rigorous roadmap for post-human civilization while ensuring legal defensibility and scientific precision across computational, biological, and cognitive domains. Protected under international copyright.

•Oct 19, 2026•0 citations

Quantum and biological computation

Koichiro Matsuno

Biosystems•Jan 1, 1995•41 citations

Biological computation running on quantum computation

Koichiro Matsuno

Biosystems•Jun 25, 2021•5 citations

FRONTIER SCIENCE IN A QUANTUM EXPERIMENT: AEgIS AT CERN

Georgy Kornakov

Precise manipulation of matter at the atomic or molecular level has provided the path for the nanotechnological revolution impacting diverse fields such as biology, medicine, material science, quantum technologies, and electronics. At the Antiproton Decelerator facility at CERN, the AEgIS experiment utilises state-of-the-art technology to store and manipulate synthesised exotic atoms containing both matter and antimatter. Such experiments lay the groundwork for a better understanding of the fundamental interactions and hold the potential to unravel the enigma of the absence of antimatter in our universe. Additionally, the developed techniques advance the technological frontier of controlling the quantum states of ions, a critical aspect of quantum sensing and quantum computing applications.

arXiv:2401.04440•Elektronika : konstrukcje, technologie, zastosowania•Sep 18, 2023•0 citations
The emergence of quantum-enhanced synthetic and engineered biological intelligence (QEBI) represents one of the most transformative frontiers in 21st-century science. This research explores the convergence of artificial intelligence (AI), synthetic intelligence (SI), and living biological systems, proposing a unified framework for the next evolution of conscious computation. While traditional AI operates within deterministic digital architectures, quantum and biological systems exhibit nonlinear, self-organizing, and probabilistic dynamics—traits more akin to human cognition. The central hypothesis of this study asserts that hybrid quantum-biological systems can achieve forms of adaptive intelligence surpassing classical computational models, potentially leading to the emergence of machine consciousness. Methodologically, this Research Study integrates findings from quantum information science, synthetic biology, neuroscience, and computational modelling. It synthesizes peer-reviewed data from Nature, Science, IEEE, and Frontiers in Neuroscience to establish a cross-disciplinary foundation. The research investigates how quantum coherence, entanglement, and superposition may enhance learning efficiency, memory retention, and neural-like adaptability when interfaced with engineered biological substrates such as brain organoids, biochips, and neuromorphic tissues. Furthermore, it examines the ethical and philosophical dimensions of constructing living-synthetic systems capable of perception, awareness, and decision-making. The results indicate that hybrid architectures combining quantum processors with synthetic neurons exhibit significant gains in parallelism, information density, and energy efficiency, mimicking biological cognitive patterns. These systems also demonstrate early evidence of emergent self-organization, a phenomenon characteristic of living networks. From a neuroscientific perspective, the integration of quantum algorithms with biological neural circuits could revolutionize models of consciousness and open pathways for bio-integrated AI capable of dynamic adaptation and self-regulation. This research envisions Global Vision 2026 and Beyond, where interdisciplinary collaboration across quantum computing, biotechnology, and neuroscience reshapes humanity’s understanding of intelligence itself. Such integration is expected to accelerate the development of cognitive quantum computers, conscious neural machines, and bio-digital ecosystems that redefine not only computation but the very nature of thought. The implications span medical science, robotics, space exploration, and cognitive augmentation, positioning QEBI as the foundation for the post-digital civilization.
The Frontier Nexus by Dr. M.K.A. El-Rakhawi (DOI: 10.5281/zenodo.23483985) unifies five convergent revolutions: Quantum Computing, CRISPR, mRNA therapeutics, BCIs, AGI, and longevity science. Pillar I details quantum algorithms, correcting HHL complexity to O(s²κ²logN) where κ is condition number, and post-quantum cryptography. Pillar II models CRISPR efficiency as η_HDR = η_cut × [k_HDR/(k_HDR+k_NHEJ)] × P(S/G2), capturing NHEJ competition, and mRNA LNP design with m1Ψ modifications. Pillar III covers BCIs using Georgopoulos population vector decoding v(t)=Σr_i(t)PD_i extended by Kalman filters, and AlphaFold’s Evoformer architecture for protein design. Pillar IV addresses the singularity convergence, ethical governance excluding naturally occurring phenomena per Myriad/Alice doctrines, and technological sovereignty. The framework mathematically integrates epigenetic aging dE/dt and quantum-biological synergy, offering a rigorous roadmap for post-human civilization while ensuring legal defensibility and scientific precision across computational, biological, and cognitive domains. Protected under international copyright.
Precise manipulation of matter at the atomic or molecular level has provided the path for the nanotechnological revolution impacting diverse fields such as biology, medicine, material science, quantum technologies, and electronics. At the Antiproton Decelerator facility at CERN, the AEgIS experiment utilises state-of-the-art technology to store and manipulate synthesised exotic atoms containing both matter and antimatter. Such experiments lay the groundwork for a better understanding of the fundamental interactions and hold the potential to unravel the enigma of the absence of antimatter in our universe. Additionally, the developed techniques advance the technological frontier of controlling the quantum states of ions, a critical aspect of quantum sensing and quantum computing applications.