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ORCIDAbhijith Jayakumar
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- affiliation: Los Alamos National Laboratory, Los Alamos, NM, USA
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2020 – today
- 2024
[i5]Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra:
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR abs/2402.08617 (2024)- [i4]Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Discrete distributions are learnable from metastable samples. CoRR abs/2410.13800 (2024) - 2023
- [c2]Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
General Algorithms for SPAM Noise Characterization. QCE 2023: 407-408 - [i3]Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov:
Learning Energy-Based Representations of Quantum Many-Body States. CoRR abs/2304.04058 (2023) - 2022
- [i2]Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, Chiranjib Bhattacharyya:
Reliable quantum kernel classification using fewer circuit evaluations. CoRR abs/2210.06971 (2022) - 2020
- [c1]Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. NeurIPS 2020 - [i1]Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. CoRR abs/2006.11937 (2020)
2010 – 2019
- 2019
- [j2]Abhijith Jayakumar, Apoorva D. Patel:
Improving quantum spatial search in two dimensions. Quantum Inf. Comput. 19(7&8): 555-574 (2019) - 2018
- [j1]Abhijith Jayakumar, Apoorva D. Patel:
Spatial search using flip-flop quantum walk. Quantum Inf. Comput. 18(15&16): 1295-1331 (2018)
Coauthor Index
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