3 papers
quant-ph2025
Domain-Aware Quantum Circuit for QML
Gurinder Singh, Thaddeus Pellegrini, Kenneth M. Merz
Designing parameterized quantum circuits (PQCs) that are expressive, trainable, and robust to hardware noise is a central challenge for quantum machine learning (QML) on noisy inte…
quant-ph2025
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…
quant-ph2025
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,…