23 citations · 43 across the 12 of their papers we have counts for
12 papers
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
Lucy Xing, Sanjay Vishwakarma, David Kremer +3
This paper explores the application of machine learning (ML) techniques in predicting the QPU processing time of quantum jobs. By leveraging ML algorithms, this study introduces pr…
AI methods for approximate compiling of unitaries
David Kremer, Victor Villar, Sanjay Vishwakarma +2
This paper explores artificial intelligence (AI) methods for the approximate compiling of unitaries, focusing on the use of fixed two-qubit gates and arbitrary single-qubit rotatio…
Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models
Sanjay Vishwakarma, Francis Harkins, Siddharth Golecha +7
Quantum programs are typically developed using quantum Software Development Kits (SDKs). The rapid advancement of quantum computing necessitates new tools to streamline this develo…
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code
Nicolas Dupuis, Luca Buratti, Sanjay Vishwakarma +5
Code Large Language Models (Code LLMs) have emerged as powerful tools, revolutionizing the software development landscape by automating the coding process and reducing time and eff…
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…
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…
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…
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…
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.…
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…
PSP-HDRI: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models
Salehe Erfanian Ebadi, Saurav Dhakad, Sanjay Vishwakarma +6
We introduce a new synthetic data generator PSP-HDRI that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demo…
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez +1
In recent years, the use of deep learning in language models gained much attention. Some research projects claim that they can generate text that can be interpreted as human-writin…