Results 41 to 50 of about 2,524,518 (253)
Recompilation-enhanced simulation of electron–phonon dynamics on IBM quantum computers
New Journal of Physics, 2022 Simulating quantum systems is believed to be one of the first applications for which quantum computers may demonstrate a useful advantage. For many problems in physics, we are interested in studying the evolution of the electron–phonon Hamiltonian, for ...
Benjamin Jaderberg +3 more
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Quantum Effects in Algorithms [PDF]
, 1999 We discuss some seemingly paradoxical yet valid effects of quantum physics in information processing. Firstly, we argue that the act of ``doing nothing'' on part of an entangled quantum system is a highly non-trivial operation and that it is the essential ingredient underlying the computational speedup in the known quantum algorithms. Secondly, we show
openaire +3 more sources
Quantum Algorithms in Cybernetics
CoRR, 2021 A new method for simulation of a binary homogeneous Markov process using a quantum computer was proposed. This new method allows using the distinguished properties of the quantum mechanical systems -- superposition, entanglement and probability calculations.
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Coloured image classification with quantum machine learning algorithms for intelligent transportation systems [PDF]
, 2023 Quantum computers have great potential to change the future of Artificial Intelligence (AI) applications for practical problems. There currently exist some algorithm design that takes exponential time on a classical computer can take polynomial time on a
Ria, Farina
core +1 more source
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
Exponential quantum advantages in learning quantum observables from classical data
npj Quantum InformationQuantum computers are believed to bring computational advantages in simulating quantum many-body systems. However, recent works have shown that classical machine learning algorithms are able to predict numerous properties of quantum systems with ...
Riccardo Molteni +2 more
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Multiscale quantum algorithms for quantum chemistry
Chemical Science, 2023 We propose a multiscale quantum computing framework suitable for efficient simulations of complex chemical systems on near-term quantum devices.
Huan Ma +5 more
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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
wiley +1 more source
Analyzing variational quantum landscapes with information content
npj Quantum InformationThe parameters of the quantum circuit in a variational quantum algorithm induce a landscape that contains the relevant information regarding its optimization hardness.
Adrián Pérez-Salinas +2 more
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Quantum Algorithms for Quantum Field Theories [PDF]
Science, 2012 Quantum Leap? Quantum computers are expected to be able to solve some of the most difficult problems in mathematics and physics. It is not known, however, whether quantum field theories (QFTs) can be simulated efficiently with a quantum computer.
Jordan, Stephen P. +2 more
openaire +4 more sources