10 citations · 10 across the 6 of their papers we have counts for
7 papers
Fast Template Matching for Quantum Circuits Using Hypergraph
Xin Hong, Jintao Yu, Runhong He +3
Quantum circuit optimization is a key step toward the efficient execution of quantum algorithms. Template matching has emerged as one of the dominant approaches for simplifying qua…
Hamiltonian-Aware ADAPT Variational Quantum Eigensolver for Molecular Ground-State Simulation
Runhong He, Chao Liu, Xin Hong +5
Designing compact ansätze in Variational Quantum Eigensolver (VQE) is crucial for solving energetic problems of practical molecules on near-term quantum devices. However, existing…
Constructing Compact ADAPT Unitary Coupled-Cluster Ansatz with Parameter-Based Criterion
Runhong He, Xin Hong, Qiaozhen Chai +5
The adaptive derivative-assembled pseudo-trotter variational quantum eigensolver (ADAPT-VQE) is a promising hybrid quantum-classical algorithm for molecular ground state energy cal…
Hamiltonian-Informed Point Group Symmetry-Respecting Ansatz for Variational Quantum Eigensolver
Runhong He, Arapat Ablimit, Xin Hong +5
Solving molecular energy levels via the Variational Quantum Eigensolver (VQE) algorithm represents one of the most promising applications for demonstrating practically meaningful q…
Gradient-Based Excitation Filter for Molecular Ground-State Simulation
Runhong He, Qiaozhen Chai, Xin Hong +4
Molecular ground-state simulation is one of the most promising fields for demonstrating practical quantum advantage on near-term quantum computers. However, the Variational Quantum…
RH: An Architecture for Redesigning Quantum Circuits on Quantum Hardware Devices
Runhong He, Ji Guan, Xin Hong +3
In this paper we present an architecture that enables the redesign of large-scale quantum circuits on quantum hardware based on the entangling quantum generative adversarial networ…
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…