activity
20182026
most citedExploring entanglement and optimization within the Hamiltonian Variational Ansatz

235 citations · 256 across the 8 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Modular-Annihilator Parent Hamiltonians for Purified Gibbs States: Spectral Design and Controlled Approximation

Changhao Yi, Jun Takahashi, Cunlu Zhou

Purified Gibbs states provide a bridge between finite-temperature physics, dissipative dynamics, and ground-state methods. In this work, we study the exact finite sum-of-squares (S…

quant-ph2026

Generative Learning for Quantum Measurement Design

Jun Dai, Olivier Nahman-Lévesque, Guillaume Rabusseau +2

Extracting quantum information from a quantum state is a fundamental task of quantum computation, often requiring the estimation of many non-commuting observables under a finite me…

quant-ph2025

A Symmetry-Enabled Direct Quantum Protocol for Many-Body Green's Functions

Changhao Yi, Cunlu Zhou

We present a symmetry-enabled direct quantum protocol for computing many-body Green's functions, a central tool for studying strongly correlated quantum systems. Our protocol relie…

quant-ph2023

An SU(2)-symmetric Semidefinite Programming Hierarchy for Quantum Max Cut

Jun Takahashi, Chaithanya Rayudu, Cunlu Zhou +3

Understanding and approximating extremal energy states of local Hamiltonians is a central problem in quantum physics and complexity theory. Recent work has focused on developing ap…

quant-ph2023★ 4 cited

Quantum Phase Estimation by Compressed Sensing

Changhao Yi, Cunlu Zhou, Jun Takahashi

As a signal recovery algorithm, compressed sensing is particularly useful when the data has low-complexity and samples are rare, which matches perfectly with the task of quantum ph…

quant-ph2021★ 11 cited

Measurement-induced entanglement phase transitions in variational quantum circuits

Roeland Wiersema, Cunlu Zhou, Juan Felipe Carrasquilla +1

Variational quantum algorithms (VQAs), which classically optimize a parametrized quantum circuit to solve a computational task, promise to advance our understanding of quantum many…

quant-ph2020★ 235 cited

Exploring entanglement and optimization within the Hamiltonian Variational Ansatz

Roeland Wiersema, Cunlu Zhou, Yvette de Sereville +3

Quantum variational algorithms are one of the most promising applications of near-term quantum computers; however, recent studies have demonstrated that unless the variational quan…

math.OC2019★ 6 cited

Long-Step Path-Following Algorithm for Quantum Information Theory: Some Numerical Aspects and Applications

Leonid Faybusovich, Cunlu Zhou

We consider some important computational aspects of the long-step path-following algorithm developed in our previous work and show that a broad class of complicated optimization pr…

cs.IT2018

Free Pseudodistance Growth Rates for Spatially Coupled LDPC Codes over the BEC

Cunlu Zhou, David G. M. Mitchell, Roxana Smarandache

The minimum pseudoweight is an important parameter related to the decoding performance of LDPC codes with iterative message-passing decoding. In this paper, we consider ensembles o…