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Yuan-Hua Zhang

21 papers hereh-index 9359 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author10

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • quant-ph7
  • cs.ET5
  • cond-mat.stat-mech2
  • physics.bio-ph2
  • cond-mat.dis-nn1
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedTopological Quantum Compiling with Reinforcement Learning

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

collaborators
Showing 2023 · cs.ETShow all

4 papers · 2 filters

cs.ET2023★ 1 cited

Implementation of digital MemComputing using standard electronic components

Yuan-Hang Zhang, Massimiliano Di Ventra

Digital MemComputing machines (DMMs), which employ nonlinear dynamical systems with memory (time non-locality), have proven to be a robust and scalable unconventional computing app…

cs.ET2023

Reconfigurable cascaded thermal neuristors for neuromorphic computing

Erbin Qiu, Yuan-Hang Zhang, Massimiliano Di Ventra +1

While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a…

cs.ET2023★ 7 cited

Hardware implementation of digital memcomputing on small-size FPGAs

Dyk Chung Nguyen, Yuan-Hang Zhang, Massimiliano Di Ventra +1

Memcomputing is a novel computing paradigm beyond the von-Neumann one. Its digital version is designed for the efficient solution of combinatorial optimization problems, which emer…

cs.ET2023

Self-averaging of digital memcomputing machines

Daniel Primosch, Yuan-Hang Zhang, Massimiliano Di Ventra

Digital memcomputing machines (DMMs) are a new class of computing machines that employ non-quantum dynamical systems with memory to solve combinatorial optimization problems. Here,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.