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20182026
most citedTopological Quantum Compiling with Reinforcement Learning

98 citations · 305 across the 21 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cond-mat.stat-mech2025

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…

quant-ph2025★ 1 cited

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…

nlin.CD2025

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…

physics.comp-ph2025

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…

cs.LG2025

A Generative Neural Annealer for Black-Box Combinatorial Optimization

Yuan-Hang Zhang, Massimiliano Di Ventra

We propose a generative, end-to-end solver for black-box combinatorial optimization that emphasizes both sample efficiency and solution quality on NP problems. Drawing inspiration…