Ising Machines for Diophantine Problems in Physics
PulseAugur coverage of Ising Machines for Diophantine Problems in Physics — every cluster mentioning Ising Machines for Diophantine Problems in Physics across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
FPGA-based neuromorphic Ising machine optimizes power grids in real-time
Researchers have developed a novel FPGA-based neuromorphic Ising machine capable of optimizing power grids in real-time. This system utilizes a higher-order Ising formulation to represent Distribution Network Reconfigur…
-
Physics-driven Ising solver accelerates computational imaging reconstruction
Researchers have developed a novel physics-driven framework for computational compressive imaging that reformulates reconstruction problems as Ising models. This approach utilizes a simulated-annealing-based Ising solve…
-
New FMQA framework uses stage-dependent encoding for black-box optimization
Researchers have developed a stage-dependent framework for factorization machine with quadratic-optimization annealing (FMQA) to improve black-box optimization. This new approach allows for different integer-binary enco…
-
New method trains energy-based neural networks using Ising Machines
Researchers have developed a new method for training energy-based neural networks by hybridizing Equilibrium Propagation with Ising Machines. This approach aims to overcome the energy demands of traditional GPU-based tr…
-
Adam optimization adapted for analog Ising machines
Researchers have developed continuous-time versions of the Adam optimization algorithm for use in analog Ising machines. These new dynamics aim to improve the speed and robustness of these machines, which are used for c…