Results 51 to 60 of about 41,319 (304)

Variational quantum algorithms for computational fluid dynamics [PDF]

, 2023
Quantum computing uses the physical principles of very small systems to develop computing platforms which can solve problems that are intractable on conventional supercomputers.
Jaksch, Dieter, Daley, Andrew J., Rung, Thomas, Givi, Peyman   +3 more
core  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

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, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 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

Quantum search algorithms [PDF]

ACM SIGACT News, 2004
We review some of quantum algorithms for search problems: Grover's search algorithm, its generalization to amplitude amplification, the applications of amplitude amplification to various problems and the recent quantum algorithms based on quantum walks.
openaire   +2 more sources

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Shadows of quantum machine learning

Nature Communications
Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage.
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko   +4 more
doaj   +1 more source

A Survey on the Quantum Security of Block Cipher-Based Cryptography

IEEE Access
The development of quantum computers represents an important advancement in computing, using quantum mechanics to address problems that were previously difficult to solve. This technological advancement poses a challenge for cryptographic systems.
S. E. Bootsma, M. De Vries
doaj   +1 more source

Post-quantum cryptography Algorithm's standardization and performance analysis

Array, 2022
-Quantum computer is no longer a hypothetical idea. It is the world's most important technology and there is a race among countries to get supremacy in quantum technology.
Manish Kumar
doaj   +1 more source

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.
openaire   +2 more sources

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., Lee, Keith S. M., Preskill, John   +2 more
openaire   +4 more sources