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A. Raya

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#machine learning Preprint Aug 2026

Physics-Informed Classical and Quantum Neural Networks for One-Dimensional Schrodinger Eigenvalue Problems

The Schrodinger equation in one spatial dimension admits a small set of exactly solvable potentials that serve as natural proving grounds for any new eigenvalue solver. We formulate Physics-Informed Neural Networks (PINNs) and Physics-Informed Quantum Neural Networks (PIQNNs) for the time-independent Schrodinger equati...

Tariq Mahmood, W. Arshad, Bilal Naseer et al. · 0 citations
Preprint Aug 2026

Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark

This work compares four classical machine learning models, namely a support vector machine, an artificial neural network, a convolutional network and a long short-term memory network, with four hybrid quantum counterparts, on a trigger-like binary classification task built from CMS open data.

Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain et al. · 0 citations
#machine learning Preprint Aug 2026

Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data

A systematic comparison of four classical machine learning architectures, support vector machines, artificial neural networks, convolutional neural networks, and long short-term memory networks against their quantum counterparts against their quantum counterparts characterize the trade-offs between classical and quantu...

Tariq Mahmood, Z. Abidin, Itzel Luviano Soto et al. · 0 citations

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