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M. Gong

40 papers hereh-index 233.8k citations61 works total

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

author position
  • first author7
  • middle author27
  • last author4

Across the 38 of 40 papers where every author was matched, so the position is known.

fields
  • quant-ph37
  • cond-mat.mes-hall2
  • cond-mat.supr-con1
same name
  • M. Gong — 62 papers, h 24
  • M. Gong — 17 papers, h 10
  • M. Gong — 13 papers, h 32
  • M. Gong — 4 papers, h 11
  • M. Gong — 1 paper, h 10
  • M. Gong — 1 paper, h 2

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

activity
20182026
most citedStrong quantum computational advantage using a superconducting quantum processor

1.1k citations · 3k across the 40 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

quant-ph2026

High fidelity control of superconducting qubits with optical transmitted signal

Yu-Huai Li, Daojin Fan, Na Li +15

Superconducting circuits exhibit remarkable potential for constructing large-scale quantum simulation and computation systems, featuring numerous qubits, extended coherence time, a…

quant-ph2026

Generalized Mermin Inequalities for Benchmarking Large-Scale GHZ States

Jianbin Cai, Junxiang Huang, Fynn Otto +15

Multipartite Bell tests provide a correlation-only route to benchmarking quantum processors, but their application at large scales is hindered by the rapid decay of many-body corre…

quant-ph2026

Surface code logical operations on a superconducting quantum processor

Weiping Lin, Shaojun Guo, Yuwei Ma +144

Fault-tolerant quantum computation requires logical operations that manipulate encoded information while preserving quantum error-correction protection. In planar surface-code arch…

quant-ph2026

Transformer refined quantum sampling for strongly correlated electronic structure

Xiongzhi Zeng, Ming Gong, Bowen Kan +18

Although quantum computing offers a promising solution for strongly correlated system simulation, existing algorithms face significant bottlenecks on current noisy intermediate-sca…

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