activity
20202026
most citedQuantum Machine Learning for Chemistry and Physics

160 citations · 238 across the 12 of their papers we have counts for

collaborators

14 papers

hep-ph2026

Inferring identified hadron production in collisions with physics-informed machine learning at the LHC

Rishabh Gupta, Kangkan Goswami, Suraj Prasad +1

Machine learning has become a powerful tool in high-energy collider experiments, which enables the studies based on data-driven approaches to complex reconstruction and regression…

quant-ph2026

Spectral methods: crucial for machine learning, natural for quantum computers?

Vasilis Belis, Joseph Bowles, Rishabh Gupta +2

This article presents an argument for why quantum computers could unlock new methods for machine learning. We argue that spectral methods, in particular those that learn, regularis…

q-fin.ST2026

Entropic signatures of market response under concentrated policy communication

Ewa A. Drzazga-Szczȩśniak, Rishabh Gupta, Adam Z. Kaczmarek +10

The first 100 days of Donald Trump second presidential term (January 20th - April 30th, 2025) featured policy actions with potential market repercussions, constituting a well-suite…

quant-ph2025

Maximal Entropy Formalism and the Restricted Boltzmann Machine

Vinit Singh, Rishabh Gupta, Manas Sajjan +3

The connection between the Maximum Entropy (MaxEnt) formalism and Restricted Boltzmann Machines (RBMs) is natural, as both give rise to a Boltzmann-like distribution with constrain…

q-fin.TR2025

Entropy-Assisted Quality Pattern Identification in Finance

Rishabh Gupta, Shivam Gupta, Jaskirat Singh +1

Short-term patterns in financial time series form the cornerstone of many algorithmic trading strategies, yet extracting these patterns reliably from noisy market data remains a fo…

physics.chem-ph2024

Time resolved quantum tomography in molecular spectroscopy by the Maximal Entropy Approach

Varun Makhija, Rishabh Gupta, Simon Neville +3

Attosecond science offers unprecedented precision in probing the initial moments of chemical reactions, revealing the dynamics of molecular electrons that shape reaction pathways.…

physics.data-an2024

Entropy corrected geometric Brownian motion

Rishabh Gupta, Ewa A. Drzazga-Szczȩśniak, Sabre Kais +1

The geometric Brownian motion (GBM) is widely employed for modeling stochastic processes, yet its solutions are characterized by the log-normal distribution. This comprises predict…

cond-mat.str-el2023

Physics inspired quantum simulation of resonating valence bond states -- a prototypical template for a spin-liquid ground state

Manas Sajjan, Rishabh Gupta, Sumit Suresh Kale +3

Spin-liquids -- an emergent, exotic collective phase of matter -- have garnered enormous attention in recent years. While experimentally, many prospective candidates have been prop…

quant-ph2023★ 6 cited

Dimension reduction and redundancy removal through successive Schmidt decompositions

Ammar Daskin, Rishabh Gupta, Sabre Kais

Quantum computers are believed to have the ability to process huge data sizes which can be seen in machine learning applications. In these applications, the data in general is clas…

quant-ph2022★ 8 cited

Hamiltonian learning from time dynamics using variational algorithms

Rishabh Gupta, Raja Selvarajan, Manas Sajjan +2

The Hamiltonian of a quantum system governs the dynamics of the system via the Schrodinger equation. In this paper, the Hamiltonian is reconstructed in the Pauli basis using measur…

quant-ph2022★ 15 cited

Variational Approach to Quantum State Tomography based on Maximal Entropy Formalism

Rishabh Gupta, Manas Sajjan, Raphael D. Levine +1

Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the fie…

physics.chem-ph2021★ 160 cited

Quantum Machine Learning for Chemistry and Physics

Manas Sajjan, Junxu Li, Raja Selvarajan +5

Machine learning (ML) has emerged into formidable force for identifying hidden but pertinent patterns within a given data set with the objective of subsequent generation of automat…

quant-ph2021★ 16 cited

Convergence of reconstructed density matrix to a pure state using maximal entropy approach

Rishabh Gupta, Sabre Kais, Raphael D. Levine

Impressive progress has been made in the past decade in the study of technological applications of varied types of quantum systems. With industry giants like IBM laying down their…

quant-ph2020★ 33 cited

Maximal entropy approach for quantum state tomography

Rishabh Gupta, Rongxin Xia, Raphael D. Levine +1

Quantum computation has been growing rapidly in both theory and experiments. In particular, quantum computing devices with a large number of qubits have been developed by IBM, Goog…