2 citations · 2 across the 4 of their papers we have counts for
6 papers
TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving
A. Ramesh Chandra, Aaghaz Mahajan, Ainesh Sanyal +32
We present a suite of 50 unpublished research-level theoretical physics problems with verifiable answers. Without AI assistance, a typical problem in our collection could be solved…
Investigating Interacting Fermionic Models with Locality-Preserving Qubit Encodings
Ashutosh P. Tripathi, Debasish Banerjee, Sandip Maiti +1
We investigate the utility of the locality-preserving Derby-Klassen (DK) fermion-to-qubit mapping [arXiv:2003.06939] for variational quantum simulation of two-dimensional - a…
Ansätz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes
Ashutosh P. Tripathi, Nilmani Mathur, Vikram Tripathi
We explore the application of the Variational Quantum Eigensolver (VQE) to investigate the ground state properties, particularly the entanglement entropy, of the Transverse Field I…
Optimization of the HHL Algorithm
Dhruv Sood, Nilmani Mathur, Vikram Tripathi
The Harrow-Hassidim-Lloyd (HHL) algorithm is a quantum algorithm for solving systems of linear equations that, in principle, offers an exponential improvement in scaling with the s…
A Study of Entanglement and Ansatz Expressivity for the Transverse-Field Ising Model using Variational Quantum Eigensolver
Ashutosh P. Tripathi, Nilmani Mathur, Vikram Tripathi
The Variational Quantum Eigensolver (VQE) is a leading hybrid quantum-classical algorithm for simulating many-body systems in the NISQ era. Its effectiveness, however, depends on t…
An empirical model on the dynamics of Covid-19 spread in human population
Nilmani Mathur, Gargi Shaw
We propose a mathematical model to analyze the time evolution of the total number of infected population with Covid-19 disease at a region in the ongoing pandemic. Using the availa…