Spatial search using flip-flop quantum walk. - Abhijith Jayakumar; Apoorva D. Patel (Quantum Inf. Comput., 2018)

Improving quantum spatial search in two dimensions. - Abhijith Jayakumar; Apoorva D. Patel (Quantum Inf. Comput., 2019)

Learning of Discrete Graphical Models with Neural Networks. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (NeurIPS, 2020)

Reliable quantum kernel classification using fewer circuit evaluations. - Abhay Shastry; Abhijith Jayakumar; Apoorva D. Patel; Chiranjib Bhattacharyya (CoRR, 2022)

General Algorithms for SPAM Noise Characterization. - Abhijith Jayakumar; Stefano Chessa; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (QCE, 2023)

Learning Energy-Based Representations of Quantum Many-Body States. - Abhijith Jayakumar; Marc Vuffray; Andrey Y. Lokhov (CoRR, 2023)

Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. - Parikshit Pareek; Abhijith Jayakumar; Carleton Coffrin; Sidhant Misra (CoRR, 2024)

Discrete distributions are learnable from metastable samples. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (CoRR, 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)