1 citations · 1 across the 3 of their papers we have counts for
3 papers
Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction
James T. Pegg, Hubert Okadome Valencia, Ronin Wu
For low-data and resource-constrained regimes typical of quantum chemistry, parameter-efficient learning is a key objective. Here, we propose a topology-aligned inductive bias in w…
QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning
Aaron Mark Thomas, Yu-Cheng Chen, Hubert Okadome Valencia +2
Navigating the vast chemical space of molecular structures to design novel drug molecules with desired target properties remains a central challenge in drug discovery. Recent advan…
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…