publications

2024

1. Potential Applications of Quantum Computing at Los Alamos National Laboratory

   Andreas Bärtschi, Francesco Caravelli, Carleton Coffrin , and 8 more authors

   arXiv preprint arXiv:2406.06625, 2024
2. Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage

   Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin , and 1 more author

   arXiv preprint arXiv:2402.08617, 2024
3. Universal framework for simultaneous tomography of quantum states and SPAM noise

   Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin , and 3 more authors

   Quantum, Jul 2024
4. Learning energy-based representations of quantum many-body states

   Abhijith Jayakumar, Marc Vuffray, and Andrey Y. Lokhov

   Phys. Rev. Res., Aug 2024

2022

1. Reliable quantum kernel classification using fewer circuit evaluations

   Abhay Shastry, Apoorva Patel, Chiranjib Bhattacharyya , and 1 more author

   arXiv preprint arXiv:2210.06971, Aug 2022
2. Quantum algorithm implementations for beginners

   J Abhijith, Adetokunbo Adedoyin, John Ambrosiano , and 8 more authors

   ACM Transactions on Quantum Computing, Aug 2022

2020

1. Learning of discrete graphical models with neural networks

   Abhijith Jayakumar, Andrey Lokhov, Sidhant Misra , and 1 more author

   Advances in Neural Information Processing Systems, Aug 2020

2019

1. Improving the query complexity of quantum spatial search in two dimensions

   J Abhijith, and Apoorva Patel

   Quantum Information & Computation, Aug 2019

2018

1. Spatial search on graphs with multiple targets using flip-flop quantum walk

   J Abhijith, and Apoorva Patel

   Quantum Information and Computation 18, 1295-1331 (2018), Aug 2018