Results 161 to 170 of about 120,004 (268)

Controllable Superconductivity in Suspended NbSe2

Advanced Electronic Materials, EarlyView.
Suspended NbSe2${\rm NbSe}_2$ provides two complementary routes for controlling superconducting transport. Gate‐driven deformation strains the suspended crystal and tunes its critical temperature and current. Weak thermal anchoring enhances thermal feedback, contributing to multistep hysteresis and negative differential resistance.
Ruihuan Fang, Cuiju Yu, Youqiang Huang, Tosson Elalaily, Yuvraj Chaudhry, Yaoqiang Zhou, Andres Castellanos‐Gomez, Sanshui Xiao, Jiwon Park, Hyunyong Choi, Fida Ali, Hanlin Fang, Jose L. Lado, Pertti Hakonen, Zhipei Sun   +14 more
wiley   +1 more source

Proof-of-Principle Implementation of Quantum Key Distribution in an Indefinite Causal Order. [PDF]

Entropy (Basel)
Valibouse Y, Cladera-Rosselló M, Antesberger M, Spencer-Wood H, Simonov K, Sund PI, Bozzio M, Walther P, Rozema LA.   +8 more
europepmc   +1 more source

Perspective: Quantum Computing on Magnetic Racetrack

Advanced Electronic Materials, EarlyView.
Magnetic domain walls emerge as mobile qubits on quantum racetracks, where chirality encodes quantum information and current‐driven motion enables flying‐qubit functionality. This Perspective outlines the physical principles, gate mechanisms, material requirements, and experimental roadmap for realizing scalable quantum computing with magnetic textures,
Ji Zou, Jelena Klinovaja, Daniel Loss
wiley   +1 more source

An entangling gate for dual-rail erasure qubits. [PDF]

Nature
D-Wave Quantum Inc..
europepmc   +1 more source

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

Weight-four parity checks in a spin-shuttling architecture. [PDF]

Nature
Undseth B, Meggiato N, Wu YH, Katiraee-Far SR, Tryputen L, de Snoo SL, Degli Esposti D, Scappucci G, Greplová E, Vandersypen LMK.   +9 more
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Hybrid quantum-classical machine learning potential with variational quantum circuits. [PDF]

RSC Adv
Willow SY, Yang DC, Kim KS, Myung CW.
europepmc   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

Benchmarking Quantum Solvers in Noisy Digital Simulations for Financial Portfolio Optimization. [PDF]

Entropy (Basel)
Shen R, Hao Z, Lee CH.
europepmc   +1 more source