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researcher

Min Chen

7 papers hereh-index 313 citations7 works total

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph4
  • cs.AI1
  • cs.LG1
  • physics.comp-ph1
same name
  • Min Chen — 7 papers, h 4
  • Min Chen — 6 papers, h 2
  • Min Chen — 5 papers, h 2
  • Min Chen — 5 papers, h 14
  • Min Chen — 4 papers, h 2
  • Min Chen — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSymbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing quant-phShow all

4 papers · 1 filter

quant-ph2026

When AI meets quantum information: A comprehensive review

Min Chen, Yu Gan, Xin Jin +15

Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum syste…

quant-ph2026★ 2 cited

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization

Min Chen, Jinglei Cheng, Pingzhi Li +3

Understanding the high-level conceptual structure of quantum algorithms from their low-level circuit representations is a critical task for verification, debugging, and education.…

quant-ph2025

An Analytic Theory of Quantum Imaginary Time Evolution

Min Chen, Bingzhi Zhang, Quntao Zhuang +1

Quantum imaginary time evolution (QITE) algorithm is one of the most promising variational quantum algorithms (VQAs), bridging the current era of Noisy Intermediate-Scale Quantum d…

quant-ph2025

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching

Haoran Wang, Pingzhi Li, Min Chen +3

Quantum computing is an exciting non-Von Neumann paradigm, offering provable speedups over classical computing for specific problems. However, the practical limits of classical sim…

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