98 citations · 203 across the 18 of their papers we have counts for
21 papers
Scientific discovery as meta-optimization: a combinatorial optimization case study
Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra
Scientific discovery is fundamentally an optimization problem, defined by a vast "state space" of theories and experiments, and an evaluation criterion based on quality, novelty, a…
A Critical Assessment of the Brain Criticality Hypothesis
Chesson Sipling, Yuan-Hang Zhang, Massimiliano Di Ventra
A major unresolved question in Neuroscience is: What is the origin of the observed scale-invariant correlations in neural activity? Many researchers support the ``criticality hypot…
Memory-induced long-range order drag
Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra
Recent research has shown that memory, in the form of slow degrees of freedom, can induce a phase of long-range order (LRO) in locally-coupled fast degrees of freedom, producing po…
Artificial intelligence for representing and characterizing quantum systems
Yuxuan Du, Yan Zhu, Yuan-Hang Zhang +8
Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quant…
On the solvable-unsolvable transition due to noise-induced chaos in digital memcomputing
Dyk Chung Nguyen, Thomas Chetaille, Yuan-Hang Zhang +2
Digital memcomputing machines (DMMs) have been designed to solve complex combinatorial optimization problems. Since DMMs are fundamentally classical dynamical systems, their ordina…
Phase-Space Engineering and Collective Dynamics in Memcomputing
Chesson Sipling, Yuan-Hang Zhang, Massimiliano Di Ventra
Digital Memcomputing machines (DMMs) are dynamical systems with memory (time non-locality) that have been designed to solve combinatorial optimization problems. Their corresponding…