activity
20182026
most citedMachine learning Sasakian and topology on contact Calabi-Yau -manifolds

11 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Discovering mathematical concepts through a multi-agent system

Daattavya Aggarwal, Oisin Kim, Carl Henrik Ek +1

Mathematical concepts emerge through an interplay of processes, including experimentation, efforts at proof, and counterexamples. In this paper, we present a new multi-agent model…

math.NT2025

A remark on weighted average multiplicities in prime factorisation

Viktor Mirjanić, Daattavya Aggarwal, Challenger Mishra

We study a generalisation of the quality of an ABC triple that we call the weighted average multiplicity (WAM), in which the logarithmic heights of prime factors are raised to a co…

math.DG2023★ 11 cited

Machine learning Sasakian and topology on contact Calabi-Yau -manifolds

Daattavya Aggarwal, Yang-Hui He, Elli Heyes +3

We propose a machine learning approach to study topological quantities related to the Sasakian and -geometries of contact Calabi-Yau -manifolds. Specifically, we compute da…

quant-ph2019★ 3 cited

Generalized Boolean Functions and Quantum Circuits on IBM-Q

Sugata Gangopadhyay, Vishvendra Singh Poonia, Daattavya Aggarwal +1

We explicitly derive a connection between quantum circuits utilising IBM's quantum gate set and multivariate quadratic polynomials over integers modulo 8. We demonstrate that the a…

quant-ph2018★ 5 cited

Application of quantum scrambling in Rydberg atom on IBM quantum computer

Daattavya Aggarwal, Shivam Raj, Bikash K. Behera +1

Quantum scrambling measured by out-of-time-ordered correlator (OTOC) has an important role in understanding the physics of black holes and evaluating quantum chaos. It is known tha…