5 papers
Molecular Ground State Simulation by Subspace Restriction and Hund's Rule
Tsung-Chi Chiang, Calvin Ku, Jyh-Pin Chou +3
Simulation of molecular ground states on near-term quantum hardware is constrained by qubit availability and the cost of variational optimization. To address these challenges, the…
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…
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…
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…
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…