2 citations · 5 across the 9 of their papers we have counts for
9 papers
Correlation-Converged Virtual Orbitals for Accurate and Efficient Quantum Molecular Simulations
Qian Wang, Calvin Ku, Jyh-Pin Chou +3
Density functional theory with plane-wave basis sets is widely employed in computational materials science, including applications to isolated molecular systems. However, the inade…
Quantum Algorithm for Low-Energy Effective Hamiltonians and Subspace Eigenvalue Problem
Chun-Tse Li, Tzen Ong, Chih-Yun Lin +3
Subspace eigenvalue problems arise ubiquitously in quantum chemistry and condensed-matter physics, where the relevant object is often a low-energy manifold rather than a single gro…
Benchmarking Quantum Simulation of Chemical Hamiltonians using the Sorted-List Encoding
Calvin Ku, Yu-Cheng Chen, Alice Hu +1
Quantum Phase Estimation (QPE) is a cornerstone algorithm for fault-tolerant quantum computation, especially for electronic structure calculations of chemical systems. Optimal simu…
A Neural-Guided Variational Quantum Algorithm for Efficient Sign Structure Learning in Hybrid Architectures
Mengzhen Ren, Yu-Cheng Chen, Yangsen Ye +3
Variational quantum algorithms hold great promise for unlocking the power of near-term quantum processors, yet high measurement costs, barren plateaus, and challenging optimization…
Optimizing Quantum Chemistry Simulations with a Hybrid Quantization Scheme
Calvin Ku, Yu-Cheng Chen, Alice Hu +1
Complex quantum simulation workflows are often hindered by incompatible wavefunction representations adopted across different algorithmic frameworks. In particular, the mismatch be…
Neural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations
Yu-cheng Chen, Ronin Wu, M. H. Cheng +1
Quantum computing promises to revolutionize many-body simulations for quantum chemistry, but its potential is constrained by limited qubits and noise in current devices. In this wo…
Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
Mengzhen Ren, Yu-Cheng Chen, Ching-Jui Lai +2
Determining the energy gap in a quantum many-body system is critical to understanding its behavior and is important in quantum chemistry and condensed matter physics. The challenge…
A Gell-Mann & Low Theorem Perspective on Quantum Computing: New Paradigm for Designing Quantum Algorithm
Chun-Tse Li, T. Tzen Ong, Lucas Wang +3
The Gell-Mann & Low theorem is a cornerstone of Quantum Field Theory (QFT) and condensed matter physics, and many-body perturbation theory is a foundational tool for treating inter…
Optimal Particle-Conserved Linear Encoding for Practical Fermionic Simulation
M. H. Cheng, Yu-Cheng Chen, Qian Wang +4
Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for modes and particles with $\mathcal{O}(N\lo…