Results 91 to 100 of about 1,254,139 (165)

Benchmarks and Recommendations for Quantum, Digital, and GPU Annealers in Combinatorial Optimization

IEEE Access
Annealers leverage quadratic unconstrained binary optimization (QUBO) formulas to address combinatorial optimization problems (COPs) and have shown potential to outperform classical computers.
Jehn-Ruey Jiang, Yu-Chen Shu, Qiao-Yi Lin   +2 more
doaj   +1 more source

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Clustering bike sharing stations using Quantum Machine Learning: A case study of Toronto, Canada

Transportation Research Interdisciplinary Perspectives
Quantum Machine Learning (QML) is a field that combines the principles of Quantum Computing (QC) and Machine Learning (ML). QC works by taking advantage of the properties of quantum physics, such as superposition and entanglement.
Amirhossein Nourbakhsh, Mojgan Jadidi, Kyarash Shahriari   +2 more
doaj   +1 more source

Local Binary and Multiclass SVMs Trained on a Quantum Annealer

IEEE Transactions on Quantum Engineering
Support vector machines (SVMs) are widely used machine learning models, with formulations for both classification and regression tasks. In the last years, with the advent of working quantum annealers, hybrid SVM models characterized by quantum training ...
Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello   +4 more
doaj   +1 more source

Quantum annealing with error mitigation

, 2022
Quantum annealing (QA) is one of the efficient methods to calculate the ground-state energy of a problem Hamiltonian. In the absence of noise, QA can accurately estimate the ground-state energy if the adiabatic condition is satisfied.
Shingu, Yuta, Kawabata, Shiro, Nikuni, Tetsuro, Matsuzaki, Yuichiro   +3 more
core  

Quantum Computing for Airline Planning and Operations [Elektronisk resurs]

, 2023
Classical algorithms and mathematical optimization techniques have been used extensively by airlines to optimize their profit and ensure that regulations are followed.
Svensson, Marika,
core  

Effective prime factorization via quantum annealing by modular locally-structured embedding

Scientific Reports
This paper investigates novel techniques to solve prime factorization by quantum annealing (QA). First, we present a very-compact modular encoding of a multiplier circuit into the architecture of current D-Wave QA devices.
Jingwen Ding, Giuseppe Spallitta, Roberto Sebastiani   +2 more
doaj   +1 more source

Quantum annealing of a hard combinatorial problem

Projecte Final de Màster Oficial fet en col.laboració amb el Departament de Física Fonamental, Facultat de Física,Universitat de BarcelonaWe present the numerical results obtained using quantum annealing (QA) in a hard combinatorial problem: the coloring
Lecina Casas, Daniel
core  

Vector Annealing, a Quantum-Inspired Technique: Benchmarking Performance Against Quantum and Simulated Annealing within the BACQ Framework

International audienceIn this paper, we aim to compare Vector Annealing (VA), a quantum-inspired metaheuristic introduced by NEC, with other metaheuristics.
Louise, Stéphane
core   +1 more source