Results 71 to 80 of about 372,041 (331)
Programmable high-dimensional Hamiltonian in a photonic waveguide array
Waveguide lattices offer a compact and stable platform for a range of applications, including quantum walks, condensed matter system simulation, and classical and quantum information processing.
Yang Yang +6 more
doaj +1 more source
Multiparameter optimisation of a magneto-optical trap using deep learning
Dynamics in cold atomic ensembles involve complex many-body interactions that are hard to treat analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms, showing an improvement in the resulting resonant ...
A. D. Tranter +9 more
doaj +1 more source
Complex processes often arise from sequences of simpler interactions involving a few particles at a time. These interactions, however, may not be directly accessible to experiments.
Ge Bai +4 more
doaj +1 more source
This is a short introduction to the field of Quantum Computation. I deal with the basics first, and then go on to describe some peculiar features of the formalism. I wrote this as a report for one of my projects.
openaire +1 more source
Quantum Computation and Quantum Information [PDF]
Published in at http://dx.doi.org/10.1214/11-STS378 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +4 more sources
Holographic Quantum Computing [PDF]
We propose that a single mesoscopic ensemble of trapped polar molecules can support a "holographic quantum computer" with hundreds of qubits encoded in collective excitations with definite spatial phase variations. Each phase pattern is uniquely addressed by optical Raman processes with classical optical fields, while one- and two-qubit gates are ...
Tordrup, Karl +2 more
openaire +4 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Two-electron spin correlations in precision placed donors in silicon
Donor impurities in silicon are promising candidates as qubits but in order to create a large-scale quantum computer inter-qubit coupling must be introduced by precise positioning of the donors.
M. A. Broome +10 more
doaj +1 more source
Quantum computation with linear optics
We present a constructive method to translate small quantum circuits into their optical analogues, using linear components of present-day quantum optics technology only.
A. Barenco +18 more
core +2 more sources
Quantum computers and dissipation [PDF]
20 pages, Latex, 7 Postscript ...
Palma, G, Suominen, K, Ekert, A
openaire +5 more sources

