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Fei Meng

4 papers hereh-index 14 citations7 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph4
same name
  • Fei Meng — 8 papers, h 5
  • Fei Meng — 5 papers, h 8
  • Fei Meng — 2 papers, h 2
  • Fei Meng — 2 papers, h 1
  • Fei Meng — 2 papers, h 1
  • Fei Meng — 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

most citedQuantum harvester enables energy transfer without randomness transfer or dissipation

4 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing quant-phShow all

4 papers · 1 filter

quant-ph2025

Non-unique decompositions of mixed states and deterministic energy transfers

Zihan Wang, Fei Meng, Oscar Dahlsten

We investigate the impact of non-unique decompositions of mixed states on energy transfer. Mixed states generally have non-unique decompositions into pure states in quantum theory…

quant-ph2025★ 1 cited

Generalized Cross-Entropy Benchmarking for Random Circuits with Ergodicity

Bin Cheng, Fei Meng, Zhi-Jiong Zhang +1

Cross-entropy benchmarking is a central technique used to certify a quantum chip in recent experiments. To better understand its mathematical foundation and develop new benchmarkin…

quant-ph2024★ 4 cited

Quantum harvester enables energy transfer without randomness transfer or dissipation

Fei Meng, Junhao Xu, Xiangjing Liu +1

We consider a foundational question in energy harvesting: given a partly random energy source, is it possible to extract the energy without also transferring randomness or acceptin…

quant-ph2024

Symmetry-guided gradient descent for quantum neural networks

Kaiming Bian, Shitao Zhang, Fei Meng +2

Many supervised learning tasks have intrinsic symmetries, such as translational and rotational symmetry in image classifications. These symmetries can be exploited to enhance perfo…

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