activity
20242026
most citedQuantum computational advantage with constant-temperature Gibbs sampling

10 citations · 12 across the 7 of their papers we have counts for

collaborators

9 papers

quant-ph2026

The stationarity test: a framework for learning quantum many-body systems from their thermal states

Thiago Bergamaschi

The task of learning the Hamiltonian interactions governing a quantum system, given samples of its thermal (or 'Gibbs') states, is a foundational question at the intersection of qu…

quant-ph2026

Spectral Gap of the Davies Generator for the Mean-Field Heisenberg Model

Joao Basso, Thiago Bergamaschi, Lin Lin +2

The mean-field Heisenberg ferromagnet is a quantum spin model on the complete graph with isotropic spin-1/2 interactions. This non-commuting Hamiltonian is permutation and $\mathsf…

quant-ph2026

Fast mixing of all-to-all quantum systems at high temperatures

Thiago Bergamaschi

It is shown that arbitrary quantum -local Hamiltonians with bounded strength interactions admit a quantum Gibbs sampler [CKG23] with a system-size independent spectral gap, at s…

quant-ph2026

Robust Structure Learning of -local Lindbladians

Tim Möbus, Thiago Bergamaschi, Daniel Stilck França +1

We present an efficient protocol for learning an unknown -local Lindblad generator on qubits using only product-state preparations, short-time evolution, and single-qubit Pa…

quant-ph2025

A Structural Theory of Quantum Metastability: Markov Properties and Area Laws

Thiago Bergamaschi, Chi-Fang Chen, Umesh Vazirani

Statistical mechanics assumes that a quantum many-body system at low temperature can be effectively described by its Gibbs state. However, many complex quantum systems exist only a…

quant-ph2025

Fast Mixing of Quantum Spin Chains at All Temperatures

Thiago Bergamaschi, Chi-Fang Chen

It is shown that every one-dimensional Hamiltonian with short-range interaction admits a quantum Gibbs sampler [CKG23] with a system-size independent spectral gap at all finite tem…

quant-ph2025

Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting quantum memories

Thiago Bergamaschi, Reza Gheissari, Yunchao Liu

Self-correcting quantum memories store logical quantum information for exponential time in thermal equilibrium at low temperatures. By definition, these systems are slow mixing. Th…

quant-ph2024★ 2 cited

On fault tolerant single-shot logical state preparation and robust long-range entanglement

Thiago Bergamaschi, Yunchao Liu

Preparing encoded logical states is the first step in a fault-tolerant quantum computation. Standard approaches based on concatenation or repeated measurement incur a significant t…

quant-ph2024★ 10 cited

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…