Results 31 to 40 of about 43,164 (298)

Scalable neural networks for the efficient learning of disordered quantum systems [PDF]

open access: yes, 2020
Supervised machine learning is emerging as a powerful computational tool to predict the properties of complex quantum systems at a limited computational cost.
Cantori, S., Pilati, S., Saraceni, N.
core   +2 more sources

Application of Ising Machines and a Software Development for Ising Machines

open access: yesJournal of the Physical Society of Japan, 2019
An online advertisement optimization, which can be represented by a combinatorial optimization problem is performed using D-Wave 2000Q, a quantum annealing machine.
Kotaro Tanahashi   +3 more
openaire   +1 more source

Ising Machines for Diophantine Problems in Physics

open access: yesFortschritte der Physik, 2022
AbstractDiophantine problems arise frequently in physics, in for example anomaly cancellation conditions, string consistency conditions and so forth. We present methods to solve such problems to high order on annealers that are based on the quadratic Ising Model.
Steven A. Abel, Luca A. Nutricati
openaire   +3 more sources

Guiding Principle for Minor-Embedding in Simulated-Annealing-Based Ising Machines

open access: yesIEEE Access, 2020
We propose a novel type of minor-embedding (ME) in simulated-annealing-based Ising machines. The Ising machines can solve combinatorial optimization problems. Many combinatorial optimization problems are mapped to find the ground (lowest-energy) state of
Tatsuhiko Shirai   +2 more
doaj   +1 more source

Oscillator-based Ising Machine

open access: yesCoRR, 2017
Many combinatorial optimization problems can be mapped to finding the ground states of the corresponding Ising Hamiltonians. The physical systems that can solve optimization problems in this way, namely Ising machines, have been attracting more and more attention recently.
Tianshi Wang, Jaijeet Roychowdhury
openaire   +2 more sources

Fast Hyperparameter Tuning for Ising Machines

open access: yes2023 IEEE International Conference on Consumer Electronics (ICCE), 2023
This work has been submitted and accepted at IEEE ICCE2023.
Matthieu Parizy   +2 more
openaire   +2 more sources

E-Spin: A Stochastic Ising Spin Based on Electrically-Controlled MTJ for Constructing Large-Scale Ising Annealing Systems

open access: yesMicromachines, 2023
With its unique computer paradigm, the Ising annealing machine has become an emerging research direction. The Ising annealing system is highly effective at addressing combinatorial optimization (CO) problems that are difficult for conventional computers ...
Wenhan Chen   +6 more
doaj   +1 more source

A Coherent Ising Machine Based On Degenerate Optical Parametric Oscillators [PDF]

open access: yes, 2013
A degenerate optical parametric oscillator network is proposed to solve the NP-hard problem of finding a ground state of the Ising model. The underlying operating mechanism originates from the bistable output phase of each oscillator and the inherent ...
Byer, Robert L.   +4 more
core   +2 more sources

Heuristic recurrent algorithms for photonic Ising machines [PDF]

open access: yesNature Communications, 2020
AbstractThe inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort toward developing application-specific hardware across many different fields of engineering, such as integrated circuits, memristors, and photonics ...
Charles Roques-Carmes   +12 more
openaire   +6 more sources

Observation of distinct phase transitions in a nonlinear optical Ising machine

open access: yesCommunications Physics, 2023
Optical Ising machines provide a promising approach to solve complex optimization problems and hence are of broad interest in physics society. This paper constructs a nonlinear optical Ising machine with spatial light modulators to find distinct phase ...
Santosh Kumar   +4 more
doaj   +1 more source

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