Results 121 to 130 of about 327,655 (287)
Many-body localization enables iterative quantum optimization. [PDF]
Nat Commun, 2022 Wang H, Yeh HC, Kamenev A.
europepmc +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
Advanced Functional Materials, EarlyView.2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
Quantum Langevin Dynamics for Optimization
Communications in Mathematical Physics52 pages, 1 table, 25 ...
Zherui Chen +4 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.We propose a suture‐complementary approach that integrates optical skin clearing with a strain‐programmable luminescent adhesive patch. Hyaluronic acid promotes transdermal delivery of tartrazine to improve optical clearing and stabilizes its interaction with a photosensitizer. Optical clearing increases the penetration depth of visible light into skin,
Seong‐Jong Kim +6 more
wiley +1 more source
Publisher Correction: Many-body localization enables iterative quantum optimization. [PDF]
Nat Commun, 2022 Wang H, Yeh HC, Kamenev A.
europepmc +1 more source
Combinatorial optimization with quantum computers
Engineering OptimizationQuantum computers leverage the principles of quantum mechanics to do computation with a potential advantage over classical computers. While a single classical computer transforms one particular binary input into an output after applying one operator to the input, a quantum computer can apply the operator to a superposition of binary strings to provide ...
Chicano, Francisco +3 more
openaire +3 more sources
Quantum Processes: A Novel Optimization for Quantum Simulation
TEMA (São Carlos), 2013 The simulation of quantum algorithms in classic computers is a task which requires high processing and storing capabilities, limiting the size of quantum systems supported by the simulators. However, optimizations for reduction of temporal and spatial complexities are promising and expanding the capabilities of some simulators. The main contribution of
Maron, A.K. +3 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Optimizing Variational Quantum Neural Networks Based on Collective Intelligence
MathematicsQuantum machine learning stands out as one of the most promising applications of quantum computing, widely believed to possess potential quantum advantages.
Zitong Li +4 more
doaj +1 more source
Corrigendum to "Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm". [PDF]
Comput Intell Neurosci, 2022 Zhang J +5 more
europepmc +1 more source