Abhijith Jayakumar

According to our database, Abhijith Jayakumar authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Discrete Diffusion with Sample-Efficient Estimators for Conditionals.

Karthik Elamvazhuthi, Abhijith Jayakumar, Andrey Y. Lokhov

CoRR, February, 2026

Computationally sufficient statistics for Ising models.

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

CoRR, February, 2026

2025

Efficient Learning of Lattice Gauge Theories with Fermions.

Shreya Shukla, Yukari Yamauchi, Andrey Y. Lokhov, Scott Lawrence, Abhijith Jayakumar

CoRR, December, 2025

Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach.

Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Universal framework for simultaneous tomography of quantum states and SPAM noise.

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

Quantum, 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

Quantum Algorithm Implementations for Beginners.

Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov

ACM Trans. Quantum Comput., December, 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