10 citations · 10 across the 5 of their papers we have counts for
5 papers
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…
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…
Dynamical Stochastic Processes of Returns in Financial Markets
Gyuchang Lim, Soo Yong Kim, Junyuan Zhou +2
We study the evolution of probability distribution functions of returns, from the tick data of the Korean treasury bond (KTB) futures and the S$&$P 500 stock index, which can be de…