collaborators

6 papers

quant-ph2026

Quantum Correlations in Frustrated Three-Body Systems

Chaitali Shah, Apoorva D. Patel

Many physical systems are not understood from first principles due to the presence of multi-body quantum correlations. The effort taken to simulate such systems on classical comput…

cs.LG2026

Image classification via a quantum-inspired strategy involving a mixture of experts

Kumari Jyoti, Rohith Babu, Apoorva D. Patel

Pattern recognition problems arise in a variety of physical image processing situations, and convolutional neural networks are a popular scheme for the required feature extraction…

q-bio.OT2026

Understanding nature's selection of genetic languages

Apoorva D. Patel

All living organisms use two universal genetic languages in their molecular biology machinery, one containing four nucleotide bases in its alphabet, and the other containing twenty…

quant-ph2026

Limitations of Quantum Advantage in Unsupervised Machine Learning

Apoorva D. Patel

Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distr…

cs.LG2025

Advances in Machine Learning: Where Can Quantum Techniques Help?

Samarth Kashyap, Rohit K Ramakrishnan, Kumari Jyoti +1

Quantum Machine Learning (QML) represents a promising frontier at the intersection of quantum computing and artificial intelligence, aiming to leverage quantum computational advant…

physics.gen-ph2025

EPR Paradox, Bell Inequalities and Peculiarities of Quantum Correlations

Apoorva D. Patel

Quantum theory revolutionised physics by introducing a new fundamental constant and a new mathematical framework to describe the observed phenomena at the atomic scale. These new c…