Results 31 to 40 of about 116,832 (272)

A quantum annealing approach to solve max-cover problem

open access: yesTạp chí Khoa học, 2022
The Max-Cover is a NP-hard problem. Therefore, the heuristic approach is suitable to solve this problem for large instances. Quantum annealing is a heuristic quantum optimization algorithm that can be used to handle the Max-Cover problem.
NGUYEN Thi Uyen   +3 more
doaj   +1 more source

On quantum annealing without a physical quantum annealer

open access: yesIET Conference Proceedings, 2023
9 pages, 4 ...
Bhave, Ameya, Borle, Ajinkya
openaire   +2 more sources

The quantum annealing gap and quench dynamics in the exact cover problem [PDF]

open access: yesQuantum, 2022
Quenching and annealing are extreme opposites in the time evolution of a quantum system: Annealing explores equilibrium phases of a Hamiltonian with slowly changing parameters and can be exploited as a tool for solving complex optimization problems.
Bernhard Irsigler, Tobias Grass
doaj   +1 more source

Quantum annealing: an overview

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022
In this review, after providing the basic physical concept behind quantum annealing (or adiabatic quantum computation), we present an overview of some recent theoretical as well as experimental developments pointing to the issues which are still debated.
Atanu Rajak   +3 more
openaire   +3 more sources

Reverse annealing for nonnegative/binary matrix factorization.

open access: yesPLoS ONE, 2021
It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm performed best for quick, approximate answers, but performance rapidly ...
John Golden, Daniel O'Malley
doaj   +1 more source

Integration of Simulated Quantum Annealing in Parallel Tempering and Population Annealing for Heterogeneous-Profile QUBO Exploration

open access: yesIEEE Access, 2023
Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer.
Deborah Volpe   +3 more
doaj   +1 more source

Mean field approximation for solving QUBO problems.

open access: yesPLoS ONE, 2022
The Quadratic Unconstrained Binary Optimization (QUBO) problem is NP-hard. Some exact methods like the Branch-and-Bound algorithm are suitable for small problems.
Máté Tibor Veszeli, Gábor Vattay
doaj   +1 more source

Customized Quantum Annealing Schedules

open access: yesPhysical Review Applied, 2022
In a typical quantum annealing protocol, the system starts with a transverse field Hamiltonian which is gradually turned off and replaced by a longitudinal Ising Hamiltonian. The ground state of the Ising Hamiltonian encodes the solution to the computational problem of interest, and the state overlap with this ground state gives the success probability
Mostafa Khezri   +5 more
openaire   +2 more sources

Single-Qubit Fidelity Assessment of Quantum Annealing Hardware

open access: yesIEEE Transactions on Quantum Engineering, 2021
As a wide variety of quantum computing platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importance.
Jon Nelson   +3 more
doaj   +1 more source

Superconducting quantum circuit of NOR in quantum annealing. [PDF]

open access: yesSci Rep, 2022
Abstract One possible way to improve the applicability of quantum annealing to various problems is to express the Hamiltonian using a circuit satisfiability problem. The NOR logic function serves as a basic unit for implementing the Hamiltonian for the superconducting quantum circuit.
Saida D   +4 more
europepmc   +5 more sources

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