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
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
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
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
Classical symmetries and the quantum approximate optimization algorithm
R Shaydulin, S Hadfield, T Hogg, I Safro
Quantum Information Processing 20 (11), 1-28, 2021
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
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
Layer VQE: A variational approach for combinatorial optimization on noisy quantum computers
X Liu, A Angone, R Shaydulin, I Safro, Y Alexeev, L Cincio
arXiv preprint arXiv:2102.05566, 2021
Exploiting Symmetry Reduces the Cost of Training QAOA
R Shaydulin, SM Wild
IEEE Transactions on Quantum Engineering, 2021
Aggregative Coarsening for Multilevel Hypergraph Partitioning
R Shaydulin, I Safro
17th International Symposium on Experimental Algorithms (SEA 2018) 103 …, 2018
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates
S Bravyi, R Shaydulin, S Hu, D Maslov
Quantum 5, 580, 2021
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
Making Quantum Computing Open: Lessons from Open-Source Projects
R Shaydulin, C Thomas, P Rodeghero
Proceedings of First International Workshop on Quantum Software Engineering …, 2020
Reinforcement learning for quantum approximate optimization
S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash
Research Poster, accepted at Supercomputing 19, 2019
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
R Shaydulin, K Marwaha, J Wurtz, PC Lotshaw
Proceedings of the Second International Workshop on Quantum Computing …, 2021
Hypergraph Partitioning With Embeddings
J Sybrandt, R Shaydulin, I Safro
IEEE Transactions on Knowledge and Data Engineering, 2020
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