activity
20002026
most citedSampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer

211 citations · 1.2k across the 74 of their papers we have counts for

collaborators

77 papers

quant-ph2026

Quantum Algorithm for Identifying Hidden Graphs: Spectral Theory and Numerical Evidence

Pawel Wocjan

We give a quantum algorithm for a novel type of black-box problem: identifying a hidden -regular base graph on vertices from oracle access to an obfuscated version of it…

quant-ph2025★ 1 cited

Quantized Markov Chain Couplings that Prepare Qsamples

Kristan Temme, Pawel Wocjan

We present a novel approach to quantizing Markov chains. The approach is based on the Markov chain coupling method, which is frequently used to prove fast mixing. Given a particula…

quant-ph2024

Controlization Schemes Based on Orthogonal Arrays

Anirban Chowdhury, Ewout van den Berg, Pawel Wocjan

Realizing controlled operations is fundamental to the design and execution of quantum algorithms. In quantum simulation and learning of quantum many-body systems, an important subr…

quant-ph2023★ 10 cited

Techniques for learning sparse Pauli-Lindblad noise models

Ewout van den Berg, Pawel Wocjan

Error-mitigation techniques such as probabilistic error cancellation and zero-noise extrapolation benefit from accurate noise models. The sparse Pauli-Lindblad noise model is one o…

quant-ph2022★ 48 cited

Thermal State Preparation via Rounding Promises

Patrick Rall, Chunhao Wang, Pawel Wocjan

A promising avenue for the preparation of Gibbs states on a quantum computer is to simulate the physical thermalization process. The Davies generator describes the dynamics of an o…

quant-ph2022

Space-efficient Quantization Method for Reversible Markov Chains

Chen-Fu Chiang, Anirban Chowdhury, Pawel Wocjan

In a seminal paper, Szegedy showed how to construct a quantum walk for any reversible Markov chain such that its eigenvector with eigenphase is a quantum sample of t…