1 citations · 1 across the 3 of their papers we have counts for
Showing quant-phShow all
3 papers · 1 filter
quant-ph2025
Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning
Natalia G. Berloff
We present an exact spin-elimination technique that reduces the dimensionality of both quadratic and k-local Ising Hamiltonians while preserving their original ground-state configu…
quant-ph2025
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…
quant-ph2024
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…