Abhijith Jayakumar

According to our database, Abhijith Jayakumar authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discrete distributions are learnable from metastable samples.

Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray

CoRR, 2024

Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage.

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra

CoRR, 2024

2023

Learning Energy-Based Representations of Quantum Many-Body States.

Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov

CoRR, 2023

General Algorithms for SPAM Noise Characterization.

Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Reliable quantum kernel classification using fewer circuit evaluations.

Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, Chiranjib Bhattacharyya

CoRR, 2022

2020

Learning of Discrete Graphical Models with Neural Networks.

Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Improving quantum spatial search in two dimensions.

Abhijith Jayakumar, Apoorva D. Patel

Quantum Inf. Comput., 2019

2018

Spatial search using flip-flop quantum walk.

Abhijith Jayakumar, Apoorva D. Patel

Quantum Inf. Comput., 2018