4 papers
Improving GANs by leveraging the quantum noise from real hardware
Hongni Jin, Kenneth M. Merz
We propose a novel approach to generative adversarial networks (GANs) in which the standard i.i.d. Gaussian latent prior is replaced or hybridized with a quantum-correlated prior d…
QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations
Hongni Jin, Gurinder Singh, Kenneth M. Merz
Implicit neural representations have shown potential in various applications. However, accurately reconstructing the image or providing clear details via image super-resolution rem…
Benchmarking MedMNIST dataset on real quantum hardware
Gurinder Singh, Hongni Jin, Kenneth M. Merz
Quantum machine learning (QML) has emerged as a promising domain to leverage the computational capabilities of quantum systems to solve complex classification tasks. In this work,…
Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions
Hongni Jin, Kenneth M. Merz
A key step in interpreting gas-phase ion mobility coupled with mass spectrometry (IM-MS) data for unknown structure prediction involves identifying the most favorable protonated st…