Litcius/Paper detail

Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model

Takumi Sakabe, Suguru Shimomura, Yusuke Ogura, K. Okubo, Hiroshi Yamashita, Hideyuki Suzuki, Jun Tanida

2023Optics Express15 citationsDOIOpen Access PDF

Abstract

This paper proposes a space-division multiplexed spatial-photonic Ising machine (SDM-SPIM) that physically calculates the weighted sum of the Ising Hamiltonians for individual components in a multi-component model. Space-division multiplexing enables tuning a set of weight coefficients as an optical parameter and obtaining the desired Ising Hamiltonian at a time. We solved knapsack problems to verify the system’s validity, demonstrating that optical parameters impact the search property. We also investigated a new dynamic coefficient search algorithm to enhance search performance. The SDM-SPIM would physically calculate the Hamiltonian and a part of the optimization with an electronics process.

Topics & Concepts

Ising modelHamiltonian (control theory)MultiplexingKnapsack problemPhotonicsComponent (thermodynamics)PhysicsComputer scienceAlgorithmTopology (electrical circuits)Statistical physicsOpticsMathematicsMathematical optimizationQuantum mechanicsTelecommunicationsCombinatoricsNeural Networks and Reservoir ComputingQuantum Computing Algorithms and ArchitectureOptical Network Technologies