Investigation of Eigenmode-Based Coupled Oscillator Solver Applied to Ising Spin Problems

We evaluate a coupled oscillator solver by applying it to square lattice (N × N) Ising spin problems for N values up to 50. The Ising problems are converted to a classical coupled oscillator model that includes both positive (ferromagnetic-like) and negative (antiferromagnetic-like) coupling between neighboring oscillators (i.e., they are reduced to eigenmode problems). A map of the oscillation amplitudes of lower-frequency eigenmodes enables us to visualize oscillator clusters with a low frustration density (unfrustrated clusters). We found that frustration tends to localize at the boundary between unfrustrated clusters due to the symmetric and asymmetric nature of the eigenmodes. This allows us to reduce frustration simply by flipping the sign of the amplitude of oscillators around which frustrated couplings are highly localized. For problems with N = 20 to 50, the best solutions with an accuracy of 96% (with respect to the exact ground state) can be obtained by simply checking the lowest ~N/2 candidate eigenmodes.

[1]  F. Barahona On the computational complexity of Ising spin glass models , 1982 .

[2]  F. Liers,et al.  Exact ground states of large two-dimensional planar Ising spin glasses. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  E. Ising Beitrag zur Theorie des Ferromagnetismus , 1925 .

[4]  H. Tamura,et al.  Accelerator Architecture for Combinatorial Optimization Problems , 2017 .

[5]  Ken-ichi Kawarabayashi,et al.  A coherent Ising machine for 2000-node optimization problems , 2016, Science.

[6]  Toshiyuki Miyazawa,et al.  Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer , 2018, Front. Phys..

[7]  Huaiyu Mi,et al.  Ontologies and Standards in Bioscience Research: For Machine or for Human , 2010, Front. Physio..

[8]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[9]  Hayato Goto,et al.  Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems , 2019, Science Advances.

[10]  Andrew Lucas,et al.  Ising formulations of many NP problems , 2013, Front. Physics.

[11]  T. Saiki,et al.  Computations with near-field coupled plasmon particles interacting with phase-change materials , 2015 .

[12]  Mauro Castelli,et al.  Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development , 2021, Applied Sciences.

[13]  Christian Blum,et al.  Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.

[14]  Daniel A. Lidar,et al.  Evidence for quantum annealing with more than one hundred qubits , 2013, Nature Physics.

[15]  Hayato Goto Bifurcation-based adiabatic quantum computation with a nonlinear oscillator network , 2015, Scientific Reports.

[16]  C. Conti,et al.  Large-Scale Photonic Ising Machine by Spatial Light Modulation. , 2019, Physical review letters.

[17]  G. Parisi,et al.  Simulated tempering: a new Monte Carlo scheme , 1992, hep-lat/9205018.

[18]  G. Rinaldi,et al.  Exact ground states of Ising spin glasses: New experimental results with a branch-and-cut algorithm , 1995 .

[19]  Shinichi Takayanagi,et al.  Application of Ising Machines and a Software Development for Ising Machines , 2019, Journal of the Physical Society of Japan.

[20]  Michel Gendreau,et al.  Metaheuristics in Combinatorial Optimization , 2022 .

[21]  R. Byer,et al.  Network of time-multiplexed optical parametric oscillators as a coherent Ising machine , 2014, Nature Photonics.

[22]  T. Saiki Switching of localized surface plasmon resonance of gold nanoparticles using phase-change materials and implementation of computing functionality , 2017 .

[23]  Matthias Troyer,et al.  Optimised simulated annealing for Ising spin glasses , 2014, Comput. Phys. Commun..

[24]  M. W. Johnson,et al.  Quantum annealing with manufactured spins , 2011, Nature.

[25]  Hiroyuki Mizuno,et al.  A 20k-Spin Ising Chip to Solve Combinatorial Optimization Problems With CMOS Annealing , 2016, IEEE Journal of Solid-State Circuits.

[26]  Davide Pierangeli,et al.  Noise-enhanced spatial-photonic Ising machine , 2020, Nanophotonics.

[27]  Kazuyuki Aihara,et al.  A fully programmable 100-spin coherent Ising machine with all-to-all connections , 2016, Science.