Results 81 to 90 of about 1,254,139 (165)

Risoluzione del Closest Vector Problem utilizzando il Quantum Annealing sul computer D-Wave® [PDF]

openIl Closest Vector Problem (CVP) è un noto problema di ottimizzazione con applicazioni nella matematica computazionale e nella crittografia basata sui reticoli.
MONTAGNER, NICOLÒ
core  

Quantum annealing of an ising spin-glass by Green's function Monte Carlo

, 2007
We present an implementation of quantum annealing (QA) via lattice Green's function Monte Carlo (GFMC), focusing on its application to the Ising spin glass in transverse field.
Santoro GE, Stella L
core   +2 more sources

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The increased development of quantum computing hardware in recent years has led to increased interest in its application to various areas. Finding effective ways to apply this technology to real-world use-cases is a current area of research in the remote
Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro   +3 more
doaj   +1 more source

Quantum-annealed machine learning discovers ductile, high strength and corrosion-resistant high-entropy alloy

npj Computational Materials
Data scarcity remains a central challenge in materials discovery, where finding meaningful descriptors and tuning models for generalization is critical but inherently a discrete optimization problem prone to multiple local minima confounding the true ...
Diego Ibarra-Hoyos, Peter F. Connors, Ho Jang, Nathan Grain, Israel Klich, Gia-Wei Chern, Peter K. Liaw, John R. Scully, Joseph Poon   +8 more
doaj   +1 more source

Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management

Results in Engineering
This paper explores the integration of Electric Vehicle (EV) parking lots into power distribution networks (DNs) and proposes a quantum-based optimization framework to enhance grid performance.
Naser Rashnu, Babak Mozafari, Reza Sharifi   +2 more
doaj   +1 more source

Quantum optimization with linear Ising penalty functions for customer data science

Physical Review Research
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA).
Puya Mirkarimi, Ishaan Shukla, David C. Hoyle, Ross Williams, Nicholas Chancellor   +4 more
doaj   +1 more source

On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing

This study explores Quantum Annealing (QA) versus Classical Computing (CC) approaches in solving the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW), using real-world logistics data from Siemens Advanta.
Allmendinger, Richard; id_orcid, Jaeger, Andreas, Vargas, Axel, Shukla, Pradyumn   +3 more
core   +1 more source

QAHAN: A Quantum Annealing Hard Attention Network [PDF]

Hard Attention Mechanisms (HAMs) effectively filter essential information discretely and significantly boost the performance of machine learning models on large datasets.
Zhao, Ren-Xin
core   +1 more source

Utilizing quantum algorithms to achieve carbon neutrality in urban areas: A systematic review

Alexandria Engineering Journal
In the face of climate change, urban areas, as major sources of greenhouse gas (GHG) emissions, are pivotal in mitigation efforts. Cities worldwide are striving to achieve carbon neutrality, aligning with the Sustainable Development Goals (SDGs). Quantum
Ghifari Munawar, Kridanto Surendro
doaj   +1 more source

Plenary Abstracts Session & Oral Presentations

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