Results 31 to 40 of about 178 (50)

Evaluating the job shop scheduling problem on a D-wave quantum annealer

open access: yesScientific Reports, 2022
Job Shop Scheduling is a combinatorial optimization problem of particular importance for production environments where the goal is to complete a production task in the shortest possible time given limitations in the resources available.
Costantino Carugno   +2 more
doaj   +1 more source

Beyond optimization: Harnessing quantum annealer dynamics for machine learning

open access: yesPhysical Review Research
Quantum annealing is typically regarded as a tool for combinatorial optimization, but its coherent dynamics also offer potential for machine learning.
Akitada Sakurai   +5 more
doaj   +1 more source

Quantum annealing algorithms for Boolean tensor networks

open access: yesScientific Reports, 2022
Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems.
Elijah Pelofske   +4 more
doaj   +1 more source

Solving large break minimization problems in a mirrored double round-robin tournament using quantum annealing.

open access: yesPLoS ONE, 2022
Quantum annealing has gained considerable attention because it can be applied to combinatorial optimization problems, which have numerous applications in logistics, scheduling, and finance.
Michiya Kuramata   +2 more
doaj   +1 more source

Power flow analysis using quantum and digital annealers: a discrete combinatorial optimization approach

open access: yesScientific Reports
Power flow (PF) analysis is a foundational computational method to study the flow of power in an electrical network. This analysis involves solving a set of non-linear and non-convex differential-algebraic equations.
Zeynab Kaseb   +3 more
doaj   +1 more source

Efficient partition of integer optimization problems with one-hot encoding

open access: yesScientific Reports, 2019
Quantum annealing is a heuristic algorithm for solving combinatorial optimization problems, and hardware for implementing this algorithm has been developed by D-Wave Systems Inc.
Shuntaro Okada   +2 more
doaj   +1 more source

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

open access: yesScientific 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   +2 more
doaj   +1 more source

Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems

open access: yesIEEE Transactions on Quantum Engineering
In this article, we propose a postprocessing variationally scheduled quantum algorithm (pVSQA) for solving constrained combinatorial optimization problems (COPs).
Tatsuhiko Shirai, Nozomu Togawa
doaj   +1 more source

Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer

open access: yesFrontiers in Physics, 2019
The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained binary optimization (QUBO) problems. It is implemented on application-specific CMOS hardware and currently solves problems of up to 1,024 variables.
Maliheh Aramon   +7 more
doaj   +1 more source

Classical criticality via quantum annealing

open access: yesNature Communications
Quantum annealing provides a powerful platform for simulating magnetic materials and realizing statistical physics models, presenting a compelling alternative to classical Monte Carlo methods.
Pratik Sathe   +5 more
doaj   +1 more source

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