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6 papers
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…
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…