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Tong Shen

3 papers hereh-index 318 citations5 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el2
  • quant-ph1
same name
  • Tong Shen — 10 papers, h 6
  • Tong Shen — 4 papers, h 3
  • Tong Shen — 4 papers, h 4
  • Tong Shen — 4 papers, h 2
  • Tong Shen — 4 papers, h 3
  • Tong Shen — 2 papers, h 4

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
20222026
most citedA Stable, Recursive Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble: Applications to Thermometry and the Hubbard Model

10 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2026

QMCtwin: Master-Equation Simulation of Syndrome Statistics Beyond Pauli Noise

Tong Shen, Huo Chen, Benchen Huang +4

As quantum error correction moves toward large-scale experimental implementations, decoder performance increasingly depends on how faithfully hardware noise is translated into synd…

cond-mat.str-el2023★ 2 cited

Disentangling the Physics of the Attractive Hubbard Model via the Accessible and Symmetry-Resolved Entanglement Entropies

Tong Shen, Hatem Barghathi, Adrian Del Maestro +1

The complicated ways in which electrons interact in many-body systems such as molecules and materials have long been viewed through the lens of local electron correlation and assoc…

cond-mat.str-el2022★ 10 cited

A Stable, Recursive Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble: Applications to Thermometry and the Hubbard Model

Tong Shen, Hatem Barghathi, Jiangyong Yu +2

Many experimentally-accessible, finite-sized interacting quantum systems are most appropriately described by the canonical ensemble of statistical mechanics. Conventional numerical…

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