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20232026
most citedNeural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations

1 citations · 2 across the 6 of their papers we have counts for

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quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph20251 cited

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…

quant-ph2025

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…

quant-ph2024

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…