Results 91 to 100 of about 189,782 (285)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Quantum dynamics in transverse-field Ising models from classical networks

SciPost Physics, 2018
The efficient representation of quantum many-body states with classical resources is a key challenge in quantum many-body theory. In this work we analytically construct classical networks for the description of the quantum dynamics in transverse-field
Markus Schmitt, Markus Heyl
doaj   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Denoising of imaginary time response functions with Hankel projections

Physical Review Research
Imaginary-time response functions of finite-temperature quantum systems are often obtained with methods that exhibit stochastic or systematic errors.
Yang Yu, Alexander F. Kemper, Chao Yang, Emanuel Gull   +3 more
doaj   +1 more source

Pairing correlations in the two-layer attractive Hubbard model

New Journal of Physics, 2014
Studies of systems with two fermionic bands (or equivalently, layers) with repulsive interaction strength U have a long history, with the periodic Anderson model (PAM) being one of the most frequently considered Hamiltonians.
Aleksander Zujev, Richard T Scalettar, George G Batrouni, Pinaki Sengupta   +3 more
doaj   +1 more source

Analytic Continuation of Quantum Monte Carlo Data by Stochastic Analytical Inference

, 2009
We present an algorithm for the analytic continuation of imaginary-time quantum Monte Carlo data which is strictly based on principles of Bayesian statistical inference.
A. Papoulis, E. T. Jaynes, J. Skilling, J. Skilling, Mark Jarrell, S. F. Gull, Sebastian Fuchs, Thomas Pruschke   +7 more
core   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

The HANDE-QMC project: open-source stochastic quantum chemistry from the ground state up

, 2018
Building on the success of Quantum Monte Carlo techniques such as diffusion Monte Carlo, alternative stochastic approaches to solve electronic structure problems have emerged over the last decade.
Blunt, Nick S., Choi, Seonghoon, Di Remigio, Roberto, Etrych, Jiri, Filip, Maria-Andreea, Foulkes, W. M. C., Franklin, Ruth S. T., Handley, Will J., Malone, Fionn D., Neufeld, Verena A., Rogers, Thomas W., Scott, Charles J. C., Shepherd, James J., Spencer, James S., Thom, Alex J. W., Vigor, William A., Weston, Joseph, Xu, RuQing   +17 more
core   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Neural Projected Quantum Dynamics: a systematic study [PDF]

Quantum
We investigate the challenge of classical simulation of unitary quantum dynamics with variational Monte Carlo approaches, addressing the instabilities and high computational demands of existing methods.
Luca Gravina, Vincenzo Savona, Filippo Vicentini   +2 more
doaj   +1 more source