4 citations · 5 across the 4 of their papers we have counts for
5 papers
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…
FieldSeer I: Physics-Guided World Models for Long-Horizon Electromagnetic Dynamics under Partial Observability
Ziheng Guo, Fang Wu, Maoxiong Zhao +2
We introduce FieldSeer I, a geometry-aware world model that forecasts electromagnetic field dynamics from partial observations in 2-D TE waveguides. The model assimilates a short p…
The First Hardware Demonstration of a Universal Programmable RRAM-based Probabilistic Computer for Molecular Docking
Yihan He, Ming-Chun Hong, Qiming Ding +6
Molecular docking is a critical computational strategy in drug design and discovery, but the complex diversity of biomolecular structures and flexible binding conformations create…
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…
Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing
Yihan He, Sheng Luo, Chao Fang +1
We investigate the ground-state probabilistic logic based on a binary energy landscape (GSPL-BEL) model, implementing the many-body interactions within Ising model cells. The GSPL-…