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Ising Machine Approach to the Lecturer–Student Assignment Problem [PDF]
IEEE AccessIsing machines are efficient solvers for combinatorial optimization problems (COPs). After mapping COPs to Quadratic Unconstrained Binary Optimization (QUBO) problems, Ising machines search for the lowest energy solution of the QUBO corresponding to the ...
Sora Tomita +2 more
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Machine learning determination of dynamical parameters: The Ising model case [PDF]
Physical Review B, 2019 Luigi Del Debbio +2 more
exaly +2 more sources
Quadrature photonic spatial Ising machine [PDF]
Optics Letters, 2022 As a computing accelerator, a large-scale photonic spatial Ising machine has great advantages and potential due to its excellent scalability and compactness. However, the current fundamental limitation of a photonic spatial Ising machine is the configuration flexibility for problem implementation in the accelerator model.
Wenchen Sun +4 more
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Exploring Potential Applications of Ising Machines for Power System Operations
IEEE Access, 2023 Recent advancements in Ising machines, both via quantum and quantum-inspired annealing, have shown promising results in solving difficult optimization problems.
Kenta Kirihara +4 more
doaj +1 more source
Distance-based clustering using QUBO formulations
Scientific 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
Gaussian optical Ising machines [PDF]
Physical 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
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Analog errors in Ising machines [PDF]
Quantum Science and Technology, 2019 Abstract Recent technological breakthroughs have precipitated the availability of specialized devices that promise to solve NP-Hard problems faster than standard computers. These ‘Ising Machines’ are however analog in nature and as such inevitably have implementation errors.
Tameem Albash +2 more
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Adiabatic evolution on a spatial-photonic Ising machine [PDF]
, 2020 Combinatorial optimization problems are crucial for widespread applications but remain difficult to solve on a large scale with conventional hardware.
Conti, C., Marcucci, G., Pierangeli, D.
core +2 more sources
Efficient optimization with higher-order Ising machines [PDF]
Nature Communications, 2023 AbstractA prominent approach to solving combinatorial optimization problems on parallel hardware is Ising machines, i.e., hardware implementations of networks of interacting binary spin variables. Most Ising machines leverage second-order interactions although important classes of optimization problems, such as satisfiability problems, map more ...
Connor Bybee +5 more
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Network of Time-Multiplexed Optical Parametric Oscillators as a Coherent Ising Machine [PDF]
, 2014 Finding the ground states of the Ising Hamiltonian [1] maps to various combinatorial optimization problems in biology, medicine, wireless communications, artificial intelligence, and social network.
Byer, Robert L. +4 more
core +3 more sources