activity
20242026
most citedAnsatz-free Hamiltonian learning with Heisenberg-limited scaling

5 citations · 7 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Optimal strategies for shadow tomography with limited resources

Zhen-Peng Xu, Qi Ye, Jie Wang +3

Shadow tomography addresses the task of efficiently predicting many expectation values of an unknown quantum state from randomized measurements on comparatively few copies. Existin…

quant-ph2026

The log log jam in Gaussian state tomography

Sitan Chen, Weiyuan Gong, Qi Ye +1

Unlike in finite dimensions, quantum information in continuous-variable systems has the peculiar feature that without imposing physical constraints, the sample complexity of state…

quant-ph2025

Triangle Criterion: a mixed-state magic criterion with applications in distillation and detection

Zhenhuan Liu, Tobias Haug, Qi Ye +2

We introduce a mixed-state magic criterion, the Triangle Criterion, which plays a role for magic analogous to the Positive Partial Transposition (PPT) Criterion for entanglement: i…

quant-ph2025

Simultaneous variances of Pauli strings, weighted independence numbers, and a new kind of perfection of graphs

Zhen-Peng Xu, Jie Wang, Qi Ye +3

A set of Pauli stings is well characterized by the graph that encodes its commutatitivity structure, i.e., by its frustration graph. This graph provides a natural interface between…

cs.GT2025

Deliberation via Matching

Kamesh Munagala, Qilin Ye, Ian Zhang

We study deliberative social choice, where voters engage in small-group discussions to output collective preferences that are then aggregated by a social choice rule. We introduce…

cs.LG2025

Transformers Provably Learn Algorithmic Solutions for Graph Connectivity, But Only with the Right Data

Qilin Ye, Deqing Fu, Robin Jia +1

Transformers often fail to learn generalizable algorithms, instead relying on brittle heuristics. Using graph connectivity as a testbed, we explain this phenomenon both theoretical…

quant-ph2025★ 5 cited

Ansatz-free Hamiltonian learning with Heisenberg-limited scaling

Hong-Ye Hu, Muzhou Ma, Weiyuan Gong +4

Learning the unknown interactions that govern a quantum system is crucial for quantum information processing, device benchmarking, and quantum sensing. The problem, known as Hamilt…

quant-ph2024★ 1 cited

On the sample complexity of purity and inner product estimation

Weiyuan Gong, Jonas Haferkamp, Qi Ye +1

We study the sample complexity of the prototypical tasks quantum purity estimation and quantum inner product estimation. In purity estimation, we are to estimate of an un…

quant-ph2024

Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation

Sitan Chen, Weiyuan Gong, Qi Ye +1

We study the task of agnostic tomography: given copies of an unknown -qubit state which has fidelity with some state in a given class , find a state which has fidelit…

quant-ph2024★ 1 cited

Optimal tradeoffs for estimating Pauli observables

Sitan Chen, Weiyuan Gong, Qi Ye

We revisit the problem of Pauli shadow tomography: given copies of an unknown -qubit quantum state , estimate for some set of Pauli operators to within ad…