Results 31 to 40 of about 2,637,115 (207)

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, Alexander Eisfeld, Dieter Jaksch, Sarah Mostame   +3 more
doaj   +1 more source

Hybrid Quantum-Classical Eigensolver without Variation or Parametric Gates

Quantum Reports, 2021
The use of near-term quantum devices that lack quantum error correction, for addressing quantum chemistry and physics problems, requires hybrid quantum-classical algorithms and techniques. Here, we present a process for obtaining the eigenenergy spectrum
Pejman Jouzdani, Stefan Bringuier
doaj   +1 more source

Quantum search algorithms, quantum wireless, and a low-complexity maximum likelihood iterative quantum multi-user detector design

, 2013
The high complexity of numerous optimal classic communication schemes, such as the maximum likelihood (ML) multiuser detector (MUD), often prevents their practical implementation.
Botsinis, Panagiotis, Ng, Soon Xin, Hanzo, Lajos, Soon Xin Ng, Panagiotis Botsinis, Lajos Hanzo   +5 more
core   +1 more source

Terra quantum at MIPT-QUANT 2020

, 2021
Funding Information: This work is supported by the Government of the Russian Federation (Agreement 05.Y09.21.0018) and by Terra Quantum AG. Publisher Copyright: © 2021 Author(s).Implementations of quantum information-processing systems require quantum ...
N. S. Kirsanov, Kirsanov, N. S., V. M. Vinokur, Vinokur, V. M., Lesovik, G. B., M. Pflitsch, G. B. Lesovik, Pflitsch, M., Perelshtein, M. R., M. R. Perelshtein   +9 more
core   +1 more source

Variational quantum generative modeling by sampling expectation values of tunable observables

npj Quantum Information
Expectation Value Samplers (EVSs) are quantum generative models that can learn high-dimensional continuous distributions by measuring the expectation values of parameterized quantum circuits. However, these models can demand impractical quantum resources
Kevin Shen, Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang   +5 more
doaj   +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, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Exponential quantum advantages in learning quantum observables from classical data

npj Quantum Information
Quantum 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, Casper Gyurik, Vedran Dunjko   +2 more
doaj   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Analyzing variational quantum landscapes with information content

npj Quantum Information
The 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, Hao Wang, Xavier Bonet-Monroig   +2 more
doaj   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source