A brief survey of quantum numerical algorithms by Pranav Singh

Title: A brief survey of quantum numerical algorithms

Speaker: Prof. Pranav Singh

Details: August 14 (Thursday) | 12(noon)-1 PM | Bharti 501

Abstract:
Quantum Numerical Algorithms (QNA) encompass a broad class of techniques including quantum numerical linear algebra (QNLA), quantum optimization, quantum variational algorithms (QVA), quantum machine learning (QML), and Hamiltonian simulation (HS). These areas represent some of the most promising domains for realizing exponential quantum advantage and have seen rapid theoretical and algorithmic advances in recent years. In this talk, I will provide a concise overview of these developments and highlight key challenges: both in terms of current quantum hardware limitations and the conceptual gap between classical numerical methods and emerging quantum paradigms. The goal is to offer both a technical snapshot of the field and a broader perspective on what makes quantum numerical thinking distinct and potentially transformative.