Results 31 to 40 of about 2,680 (272)

Gaussian optical Ising machines [PDF]

open access: yesPhysical Review A, 2017
It has recently been shown that optical parametric oscillator (OPO) Ising machines, consisting of coupled optical pulses circulating in a cavity with parametric gain, can be used to probabilistically find low-energy states of Ising spin systems. In this work, we study optical Ising machines that operate under simplified Gaussian dynamics.
Clements, WR   +5 more
openaire   +5 more sources

Distance-based clustering using QUBO formulations

open access: yesScientific Reports, 2022
In computer science, clustering is a technique for grouping data. Ising machines can solve distance-based clustering problems described by quadratic unconstrained binary optimization (QUBO) formulations.
Nasa Matsumoto   +3 more
doaj   +1 more source

Who is afraid of machines? [PDF]

open access: yesEconomic Policy, 2019
SUMMARY We study how various types of machines, namely, information and communication technologies, software and especially industrial robots, affect the demand for workers of different education, age and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our data set comprises
Blanas S., Gancia G., Lee S. Y.
openaire   +4 more sources

Analog errors in Ising machines [PDF]

open access: yesQuantum Science and Technology, 2019
14 pages, 15 figures.
Tameem Albash   +2 more
openaire   +3 more sources

What is the machine learning? [PDF]

open access: yesPhysical Review D, 2018
Applications of machine learning tools to problems of physical interest are often criticized for producing sensitivity at the expense of transparency. To address this concern, we explore a data planing procedure for identifying combinations of variables -- aided by physical intuition -- that can discriminate signal from background.
Chang, Spencer   +2 more
openaire   +2 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

Performance Comparison of Typical Binary-Integer Encodings in an Ising Machine

open access: yesIEEE Access, 2021
The differences in performance among binary-integer encodings in an Ising machine, which can solve combinatorial optimization problems, are investigated.
Kensuke Tamura   +4 more
doaj   +1 more source

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

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

Noise-enhanced spatial-photonic Ising machine

open access: yesNanophotonics, 2020
Ising machines are novel computing devices for the energy minimization of Ising models. These combinatorial optimization problems are of paramount importance for science and technology, but remain difficult to tackle on large scale by conventional ...
Pierangeli Davide   +3 more
doaj   +1 more source

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