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20182026
most citedExploring entanglement and optimization within the Hamiltonian Variational Ansatz

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

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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…