Results 71 to 80 of about 3,338,615 (321)
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis [PDF]
Physical Review Research, 2020 This work presents a quantum convolutional neural network (QCNN) for the classification of high energy physics events. The proposed model is tested using a simulated dataset from the Deep Underground Neutrino Experiment.
Samuel Yen-Chi Chen +4 more
semanticscholar +1 more source
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
Quantumness speeds up quantum thermodynamics processes
iScienceSummary: Quantum thermodynamic process involves manipulating and controlling quantum states to extract energy or perform computational tasks with high efficiency.
Ming-Xing Luo
doaj +1 more source
Quantum-Matter Heterostructures
, 2016 Combining the power and possibilities of heterostructure engineering with the collective and emergent properties of quantum materials, quantum-matter heterostructures open a new arena of solid-state physics.
Boschker, Hans, Mannhart, Jochen
core +1 more source
A simple model of quantum trajectories [PDF]
, 2001 Quantum trajectory theory, developed largely in the quantum optics community to describe open quantum systems subjected to continuous monitoring, has applications in many areas of quantum physics.
Bell J. S., Todd A. Brun
core +3 more sources
Quantum Algorithm for High Energy Physics Simulations.
Physical Review Letters, 2021 Simulating quantum field theories is a flagship application of quantum computing. However, calculating experimentally relevant high energy scattering amplitudes entirely on a quantum computer is prohibitively difficult.
B. Nachman +3 more
semanticscholar +1 more source
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Quantum Systems for Enhanced High Energy Particle Physics Detectors
Frontiers in Physics, 2022 Developments in quantum technologies in the last decades have led to a wide range of applications, but have also resulted in numerous novel approaches to explore the low energy particle physics parameter space.
M. Doser +8 more
doaj +1 more source
Teaching Einsteinian physics at schools: part 2, models and analogies for quantum physics [PDF]
, 2017 The Einstein-First project approaches the teaching of Einsteinian physics through the use of physical models and analogies. This paper presents an approach to the teaching of quantum physics which begins by emphasising the particle-nature of light ...
T. Kaur +3 more
semanticscholar +1 more source
Certified randomness in quantum physics [PDF]
Nature, 2016 The concept of randomness plays an important part in many disciplines. On the one hand, the question of whether random processes exist is fundamental for our understanding of nature. On the other, randomness is a resource for cryptography, algorithms and
A. Acín, L. Masanes
semanticscholar +1 more source