3 papers
cs.NE2026
First hardware demonstration of a continuous-state probabilistic computer with programmable energy-defined sampling
Chao Fang, Hsuan Yao Tu, Yihan He +3
Probabilistic computing has proved useful for combinatorial optimization, but conventional implementations rely on binary stochastic units and sigmoid-based updates. Extending thes…
physics.comp-ph2025
Solving Boolean Satisfiability Problems Using A Hypergraph-based Probabilistic Computer
Yihan He, Ming-Chun Hong, Wanli Zheng +7
Boolean Satisfiability (SAT) problems are critical in fields such as artificial intelligence and cryptography, where efficient solutions are essential. Conventional probabilistic s…
physics.app-ph2025
A Novel P-bit-based Probabilistic Computing Approach for Solving the 3-D Protein Folding Problem
Chao Fang, Yihan He, Xiao Gong +1
In the post-Moore era, the need for efficient solutions to non-deterministic polynomial-time (NP) problems is becoming more pressing. In this context, the Ising model implemented b…