Zobrazeno 1 - 10
of 2 197
pro vyhledávání: '"Johri P"'
Autor:
Schleiss, Johannes, Johri, Aditya
In this practice paper, we propose a framework for integrating AI into disciplinary engineering courses and curricula. The use of AI within engineering is an emerging but growing area and the knowledge, skills, and abilities (KSAs) associated with it
Externí odkaz:
http://arxiv.org/abs/2410.12796
Integrating AI Education in Disciplinary Engineering Fields: Towards a System and Change Perspective
Building up competencies in working with data and tools of Artificial Intelligence (AI) is becoming more relevant across disciplinary engineering fields. While the adoption of tools for teaching and learning, such as ChatGPT, is garnering significant
Externí odkaz:
http://arxiv.org/abs/2410.12795
Autor:
Chatterjee, Avimita, Rappaport, Sonny, Giri, Anish, Johri, Sonika, Proctor, Timothy, Neira, David E. Bernal, Sathe, Pratik, Lubinski, Thomas
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodolo
Externí odkaz:
http://arxiv.org/abs/2409.06919
Autor:
Lubinski, Thomas, Goings, Joshua J., Mayer, Karl, Johri, Sonika, Reddy, Nithin, Mehta, Aman, Bhatia, Niranjan, Rappaport, Sonny, Mills, Daniel, Baldwin, Charles H., Zhao, Luning, Barbosa, Aaron, Maity, Smarak, Mundada, Pranav S.
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications. Its benchmark programs sweep over a range of problem sizes and inputs, capturing
Externí odkaz:
http://arxiv.org/abs/2402.08985
The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). HEIs scrambled to respond to its use, especially by students, looking first to regulate it an
Externí odkaz:
http://arxiv.org/abs/2402.01659
Autor:
Iaconis, Jason, Johri, Sonika
Image-based data is a popular arena for testing quantum machine learning algorithms. A crucial factor in realizing quantum advantage for these applications is the ability to efficiently represent images as quantum states. Here we present a novel meth
Externí odkaz:
http://arxiv.org/abs/2310.05897
Contribution: This paper identifies four critical ethical considerations for implementing generative AI tools to provide automated feedback to students. Background: Providing rich feedback to students is essential for supporting student learning. Rec
Externí odkaz:
http://arxiv.org/abs/2308.15334
Autor:
Nidhi Parashar, Prashant Johri
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 4, Pp 943-964 (2024)
The agriculture industry has an enormous influence on a nation's economy. Loss of yield due to plant diseases remains a reason, reducing crop quantity and quality. Incorrect diagnosis of crop diseases can result in improper application of chemical pe
Externí odkaz:
https://doaj.org/article/26c5bc4fb0d0479c8b585e2ad6fff398
Autor:
Niroula, Pradeep, White, Christopher David, Wang, Qingfeng, Johri, Sonika, Zhu, Daiwei, Monroe, Christopher, Noel, Crystal, Gullans, Michael J.
Magic is a property of quantum states that enables universal fault-tolerant quantum computing using simple sets of gate operations. Understanding the mechanisms by which magic is created or destroyed is, therefore, a crucial step towards efficient an
Externí odkaz:
http://arxiv.org/abs/2304.10481
Publikováno v:
npj Quantum Inf 10, 15 (2024)
State preparation is a necessary component of many quantum algorithms. In this work, we combine a method for efficiently representing smooth differentiable probability distributions using matrix product states with recently discovered techniques for
Externí odkaz:
http://arxiv.org/abs/2303.01562