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Abhijith Jayakumar

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affiliation: Los Alamos National Laboratory, Los Alamos, NM, USA

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Journal Articles

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2019
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Abhijith Jayakumar, Apoorva D. Patel:
Improving quantum spatial search in two dimensions. Quantum Inf. Comput. 19(7&8): 555-574 (2019)
2018
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Abhijith Jayakumar, Apoorva D. Patel:
Spatial search using flip-flop quantum walk. Quantum Inf. Comput. 18(15&16): 1295-1331 (2018)

Conference and Workshop Papers

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2023
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Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
General Algorithms for SPAM Noise Characterization. QCE 2023: 407-408
2020
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Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. NeurIPS 2020

Informal and Other Publications

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2024
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  - journals/corr/abs-2402-08617
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Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra:
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR abs/2402.08617 (2024)
2023
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Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov:
Learning Energy-Based Representations of Quantum Many-Body States. CoRR abs/2304.04058 (2023)
2022
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  - journals/corr/abs-2210-06971
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Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, Chiranjib Bhattacharyya:
Reliable quantum kernel classification using fewer circuit evaluations. CoRR abs/2210.06971 (2022)
2020
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  - journals/corr/abs-2006-11937
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Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. CoRR abs/2006.11937 (2020)

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