Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Vishwakarma, Sanjay"'
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 rotations typical in superconducting hardware. Our approach involves three ma
Externí odkaz:
http://arxiv.org/abs/2407.21225
Autor:
Vishwakarma, Sanjay, Harkins, Francis, Golecha, Siddharth, Bajpe, Vishal Sharathchandra, Dupuis, Nicolas, Buratti, Luca, Kremer, David, Faro, Ismael, Puri, Ruchir, Cruz-Benito, Juan
Quantum programs are typically developed using quantum Software Development Kits (SDKs). The rapid advancement of quantum computing necessitates new tools to streamline this development process, and one such tool could be Generative Artificial intell
Externí odkaz:
http://arxiv.org/abs/2406.14712
Autor:
Dupuis, Nicolas, Buratti, Luca, Vishwakarma, Sanjay, Forrat, Aitana Viudes, Kremer, David, Faro, Ismael, Puri, Ruchir, Cruz-Benito, Juan
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 effort required to build applications. This paper focuses on training Cod
Externí odkaz:
http://arxiv.org/abs/2405.19495
Autor:
Vishwakarma, Sanjay, Morapakula, Sai Nandan, D, Shalini, Ganguly, Srinjoy, Kankipati, Sri Krishna Sai
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 topological superconductivity and the advantages it brings to quantum comput
Externí odkaz:
http://arxiv.org/abs/2306.09982
Autor:
Naik, Abha, Yeniaras, Esra, Hellstern, Gerhard, Prasad, Grishma, Vishwakarma, Sanjay Kumar Lalta Prasad
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 Detection, and Monte Carlo methods for derivative pricing and risk ca
Externí odkaz:
http://arxiv.org/abs/2307.01155
Autor:
Joshi, Aravind, Kairali, Akshara, Raju, Renju, Athreya, Adithya, P, Reena Monica, Vishwakarma, Sanjay, Ganguly, Srinjoy
Quantum computing is an emerging technology in which quantum mechanical properties are suitably utilized to perform certain compute-intensive operations faster than classical computers. Quantum algorithms are designed as a combination of quantum circ
Externí odkaz:
http://arxiv.org/abs/2306.02264
Autor:
S, Jyothikamalesh, A, Kaarnika, M, Dr. Mohankumar., Vishwakarma, Sanjay, Ganguly, Srinjoy, P, Yuvaraj
The Kagome lattice, a captivating lattice structure composed of interconnected triangles with frustrated magnetic properties, has garnered considerable interest in condensed matter physics, quantum magnetism, and quantum computing.The Ansatz optimiza
Externí odkaz:
http://arxiv.org/abs/2306.00467
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. This technology is of strategic importance to governments globally an
Externí odkaz:
http://arxiv.org/abs/2305.15959
Autor:
Vishwakarma, Sanjay, Ganguly, Srinjoy
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 theory but can lead to a majority vote style behaviour. Achieving cond
Externí odkaz:
http://arxiv.org/abs/2304.14537
Autor:
Ebadi, Salehe Erfanian, Dhakad, Saurav, Vishwakarma, Sanjay, Wang, Chunpu, Jhang, You-Cyuan, Chociej, Maciek, Crespi, Adam, Thaman, Alex, Ganguly, Sujoy
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 demonstrate that pre-training with our synthetic data will yield a more ge
Externí odkaz:
http://arxiv.org/abs/2207.05025