2 citations · 2 across the 7 of their papers we have counts for
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A Lyapunov Framework for Quantum Algorithm Design in Combinatorial Optimization with Approximation Ratio Guarantees
Shengminjie Chen, Ziyang Li, Hongyi Zhou +3
In this work, we develop a framework aiming at designing quantum algorithms for combinatorial optimization problems while providing theoretical guarantees on their approximation ra…
Practical Homodyne Shadow Estimation
Ruyu Yang, Xiaoming Sun, Hongyi Zhou
Shadow estimation provides an efficient framework for estimating observable expectation values using randomized measurements. While originally developed for discrete-variable syste…
Stochastic Quantum Hamiltonian Descent
Sirui Peng, Shengminjie Chen, Xiaoming Sun +1
Stochastic Gradient Descent (SGD) and its variants underpin modern machine learning by enabling efficient optimization of large-scale models. However, their local search nature lim…
Quantum-Trajectory-Inspired Lindbladian Simulation
Sirui Peng, Xiaoming Sun, Qi Zhao +1
Simulating the dynamics of open quantum systems is a crucial task in quantum computing, offering wide-ranging applications but remaining computationally challenging. In this paper,…
Error mitigated shadow estimation based on virtual distillation
Ruyu Yang, Xiaoming Sun, Hongyi Zhou
Shadow estimation is a method for deducing numerous properties of an unknown quantum state through a limited set of measurements, which suffers from noises in quantum devices. In t…
A hybrid algorithm for quadratically constrained quadratic optimization problems
Hongyi Zhou, Sirui Peng, Qian Li +1
Quadratically Constrained Quadratic Programs (QCQPs) are an important class of optimization problems with diverse real-world applications. In this work, we propose a variational qu…