17 citations · 28 across the 7 of their papers we have counts for
7 papers
Note on Strong Quantum Markov Properties
Chi-Fang Chen
Quantum many-body Gibbs states satisfy an approximate local Markov property~\cite{chen2025GibbsMarkov}: local noise can be approximately recovered by a quasi-local recovery map, an…
Efficiently estimating quantum thermal properties from exponentially fewer samples
Chi-Fang Chen, András Gilyén
We present an efficient protocol for estimating observables to precision from only copies of a Gibbs state $ρ\propto\exp(-βH…
Learning quantum Gibbs states locally and efficiently
Chi-Fang Chen, Anurag Anshu, Quynh T. Nguyen
Learning the Hamiltonian underlying a quantum many-body system in thermal equilibrium is a fundamental task in quantum learning theory and experimental sciences. To learn the Gibbs…
Quantum Gibbs states are locally Markovian
Chi-Fang Chen, Cambyse Rouzé
The Markov property entails the conditional independence structure inherent in Gibbs distributions for general classical Hamiltonians, a feature that plays a crucial role in infere…
Optimizing random local Hamiltonians by dissipation
Joao Basso, Chi-Fang Chen, Alexander M. Dalzell
A central challenge in quantum simulation is to prepare low-energy states of strongly interacting many-body systems. In this work, we study the problem of preparing a quantum state…
Quantum computational advantage with constant-temperature Gibbs sampling
Thiago Bergamaschi, Chi-Fang Chen, Yunchao Liu
A quantum system coupled to a bath at some fixed, finite temperature converges to its Gibbs state. This thermalization process defines a natural, physically-motivated model of quan…
Local minima in quantum systems
Chi-Fang Chen, Hsin-Yuan Huang, John Preskill +1
Finding ground states of quantum many-body systems is known to be hard for both classical and quantum computers. As a result, when Nature cools a quantum system in a low-temperatur…