Results 41 to 50 of about 16,495,539 (312)
Quantum error correction near the coding theoretical bound
npj Quantum InformationRecent progress in quantum computing has enabled systems with tens of reliable logical qubits, built from thousands of noisy physical qubits1.
Daiki Komoto, Kenta Kasai
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Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Holism, Physical Theories and Quantum Mechanics [PDF]
, 2004 Motivated by the question what it is that makes quantum mechanics a holistic theory (if so), I try to define for general physical theories what we mean by `holism'.
Seevinck, Michael Patrick
core
Cosmological constant from quantum spacetime [PDF]
, 2015 http://dx.doi.org/10.1103/PhysRevD.91.124028© 2015, Physical Review
Majid, S, Tao, W-Q
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
On a quantum inspired approach to train machine learning models
Applied AI Letters, 2023 In this work, a novel technique to train machine learning models is introduced, which is based on digital simulations of certain types of quantum systems.
Jean Michel Sellier
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Algebraic Approach to Quantum Gravity: relative realism [PDF]
, 2007 In the first of three articles, we review the philosophical foundations of an approach to quantum gravity based on a principle of representation-theoretic duality and a vaguely Kantian-Buddist perspective on the nature of physical reality which I have ...
Majid, Shahn
core
Wigner Distribution Sets Universal Lower Bound for Quantum Advantage in Gaussian Boson Sampling
EntropyThe computational complexity, or quantum advantage, of Gaussian boson sampling is ascribed to squeezing of the Wigner quasiprobability distribution. This approach reveals the physical origin of the quantum complexity resource.
Vitaly V. Kocharovsky, Kunwar Kalra
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