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20202025
most citedFrom Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance

23 citations · 43 across the 12 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CR2023★ 23 cited

From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance

Abha Naik, Esra Yeniaras, Gerhard Hellstern +2

In this paper, we provide an overview of the recent work in the quantum finance realm from various perspectives. The applications in consideration are Portfolio Optimization, Fraud…

cs.ET2023★ 1 cited

Quantum Circuit Optimization of Arithmetic circuits using ZX Calculus

Aravind Joshi, Akshara Kairali, Renju Raju +4

Quantum computing is an emerging technology in which quantum mechanical properties are suitably utilized to perform certain compute-intensive operations faster than classical compu…

quant-ph2023★ 1 cited

Introduction to Topological Superconductivity and Majorana Fermions for Quantum Engineers

Sanjay Vishwakarma, Sai Nandan Morapakula, Shalini D +2

In this tutorial paper, we provide an introduction to the briskly expanding research field of Majorana fermions in topological superconductors. We discuss several aspects of topolo…

quant-ph2023★ 1 cited

Efficient VQE Approach for Accurate Simulations on the Kagome Lattice

Jyothikamalesh S, Kaarnika A, Dr. Mohankumar. M +3

The Kagome lattice, a captivating lattice structure composed of interconnected triangles with frustrated magnetic properties, has garnered considerable interest in condensed matter…

physics.ed-ph2023

A Universal Quantum Technology Education Program

Sanjay Vishwakarma, Shalini D, Srinjoy Ganguly +1

Quantum technology is an emerging cutting-edge field which offers a new paradigm for computation and research in the field of physics, mathematics and other scientific disciplines.…

cs.LG2023

Optimal partition of feature using Bayesian classifier

Sanjay Vishwakarma, Srinjoy Ganguly

The Naive Bayesian classifier is a popular classification method employing the Bayesian paradigm. The concept of having conditional dependence among input variables sounds good in…