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Jiaqing Jiang

4 papers hereh-index 345 citations5 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • quant-ph4
same name
  • Jiaqing Jiang — 2 papers, h 2
  • Jiaqing Jiang — 1 paper
  • Jiaqing Jiang — 1 paper, h 8
  • Jiaqing Jiang — 1 paper
  • Jiaqing Jiang — 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 Metropolis Sampling via Weak Measurement

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

collaborators

4 papers

quant-ph2026

Accelerating quantum Gibbs sampling without quantum walks

Jiaqi Leng, Jiaqing Jiang, Lin Lin

Szegedy's quantum walk gives a generic quadratic speedup for reversible classical Markov chains, but extending this mechanism to quantum Gibbs sampling has remained challenging bey…

quant-ph2026

Thermal expectation estimation via single-trajectory Gibbs sampling with non-destructive measurements

Hongrui Chen, Jiaqing Jiang, Bowen Li +1

Estimating thermal expectation values of quantum many-body systems is a central challenge in physics, chemistry, and materials science. Standard quantum Gibbs sampling protocols ad…

quant-ph2024

Gibbs state preparation for commuting Hamiltonian: Mapping to classical Gibbs sampling

Yeongwoo Hwang, Jiaqing Jiang

Gibbs state preparation, or Gibbs sampling, is a key computational technique extensively used in physics, statistics, and other scientific fields. Recent efforts for designing fast…

quant-ph2024★ 2 cited

Quantum Metropolis Sampling via Weak Measurement

Jiaqing Jiang, Sandy Irani

Gibbs sampling is a crucial computational technique used in physics, statistics, and many other scientific fields. For classical Hamiltonians, the most commonly used Gibbs sampler…

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