8 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…
Advancing Quantum State Preparation Using Decision Diagram with Local Invertible Maps
Xin Hong, Aochu Dai, Chenjian Li +3
Quantum state preparation (QSP) is a fundamental task in quantum computing and quantum information processing. It is critical to the execution of many quantum algorithms, including…
Quantum State Preparation Based on LimTDD
Xin Hong, Chenjian Li, Aochu Dai +3
Quantum state preparation is a fundamental task in quantum computing and quantum information processing. With the rapid advancement of quantum technologies, efficient quantum state…
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…