most citedIsing Hamiltonian Minimization: Gain-Based Computing with Manifold Reduction of Soft-Spins vs Quantum Annealing

13 citations · 16 across the 6 of their papers we have counts for

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quant-ph2024★ 1 cited

Vector Ising Spin Annealer for Minimizing Ising Hamiltonians

James S. Cummins, Natalia G. Berloff

We introduce the Vector Ising Spin Annealer (VISA), a framework in gain-based computing that harnesses light-matter interactions to solve complex optimization problems encoded in s…

quant-ph2023★ 13 cited

Ising Hamiltonian Minimization: Gain-Based Computing with Manifold Reduction of Soft-Spins vs Quantum Annealing

James S. Cummins, Hayder Salman, Natalia G. Berloff

We investigate the minimization of Ising Hamiltonians, comparing the performance of gain-based computing paradigms based on the dynamics of semi-classical soft-spin models with qua…