Ruslan Shaydulin
Ruslan Shaydulin
JPMorgan Chase & Co.
Verified email at - Homepage
Cited by
Cited by
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash
Proceedings of the Thirty-Forth AAAI Conference on Artificial Intelligence …, 2019
Multistart Methods for Quantum Approximate Optimization
R Shaydulin, I Safro, J Larson
2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019
Layer VQE: A variational approach for combinatorial optimization on noisy quantum computers
X Liu, A Angone, R Shaydulin, I Safro, Y Alexeev, L Cincio
IEEE Transactions on Quantum Engineering, 2022, 2022
A hybrid approach for solving optimization problems on small quantum computers
R Shaydulin, H Ushijima-Mwesigwa, CFA Negre, I Safro, SM Mniszewski, ...
Computer 52 (6), 18-26, 2019
Network Community Detection on Small Quantum Computers
R Shaydulin, H Ushijima-Mwesigwa, I Safro, S Mniszewski, Y Alexeev
Advanced Quantum Technologies 2 (9), 1900029, 2019
Classical symmetries and the quantum approximate optimization algorithm
R Shaydulin, S Hadfield, T Hogg, I Safro
Quantum Information Processing 20, 1-28, 2021
Evaluating Quantum Approximate Optimization Algorithm: A Case Study
R Shaydulin, Y Alexeev
2019 Tenth International Green and Sustainable Computing Conference (IGSC), 2019
Multilevel combinatorial optimization across quantum architectures
H Ushijima-Mwesigwa, R Shaydulin, CFA Negre, SM Mniszewski, ...
ACM Transactions on Quantum Computing, 2019
Parameter transfer for quantum approximate optimization of weighted maxcut
R Shaydulin, PC Lotshaw, J Larson, J Ostrowski, TS Humble
ACM Transactions on Quantum Computing 4 (3), 1-15, 2023
Community Detection Across Emerging Quantum Architectures
R Shaydulin, H Ushijima-Mwesigwa, I Safro, S Mniszewski, Y Alexeev
3rd International Workshop on Post Moore's Era Supercomputing, 12--15, 2018
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning
R Shaydulin, J Chen, I Safro
Multiscale Modeling & Simulation 17 (1), 482--506, 2019
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer
P Niroula, R Shaydulin, R Yalovetzky, P Minssen, D Herman, S Hu, ...
Scientific Reports 12 (1), 17171, 2022
Exploiting Symmetry Reduces the Cost of Training QAOA
R Shaydulin, SM Wild
IEEE Transactions on Quantum Engineering, 2021
Importance of kernel bandwidth in quantum machine learning
R Shaydulin, SM Wild
Physical Review A 106 (4), 042407, 2022
To agile, or not to agile: A comparison of software development methodologies
R Shaydulin, J Sybrandt
arXiv preprint arXiv:1704.07469, 2017
Reinforcement-learning-based variational quantum circuits optimization for combinatorial problems
S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash
Machine Learning and the Physical Sciences workshop at Conference on Neural …, 2019
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates
S Bravyi, R Shaydulin, S Hu, D Maslov
Quantum 5, 580, 2021
Bandwidth enables generalization in quantum kernel models
A Canatar, E Peters, C Pehlevan, SM Wild, R Shaydulin
arXiv preprint arXiv:2206.06686, 2022
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries
R Shaydulin, A Galda
2021 IEEE Intl. Conf. on Quantum Computing and Engineering, 2021
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
R Shaydulin, C Li, S Chakrabarti, M DeCross, D Herman, N Kumar, ...
arXiv preprint arXiv:2308.02342, 2023
The system can't perform the operation now. Try again later.
Articles 1–20