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ORCIDRuslan Shaydulin
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- affiliation: JPMorgan Chase & Co, New York, NY, USA
- affiliation (2020-2022): Argonne National Laboratory, Lemont, IL, USA
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2020 – today
- 2024
[j9]Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, Joao Basso, Shouvanik Chakrabarti, Yue Sun, Marco Pistoia:
Parameter Setting in Quantum Approximate Optimization of Weighted Problems. Quantum 8: 1231 (2024)- [c13]Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia:
Invited: Challenges and Opportunities of Quantum Optimization in Finance. DAC 2024: 362:1-362:4 - [i34]Michael A. Perlin
, Ruslan Shaydulin, Benjamin P. Hall, Pierre Minssen, Changhao Li, Kabir Dubey, Richard Rines, Eric R. Anschütz, Marco Pistoia, Pranav Gokhale:
Q-CHOP: Quantum constrained Hamiltonian optimization. CoRR abs/2403.05653 (2024) - [i33]Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu:
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. CoRR abs/2405.10941 (2024) - [i32]Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia:
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. CoRR abs/2408.00557 (2024) - [i31]Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia:
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. CoRR abs/2408.09538 (2024) - [i30]Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia:
Performance of Quantum Approximate Optimization with Quantum Error Detection. CoRR abs/2409.12104 (2024) - 2023
- [j8]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. Quantum 7: 1191 (2023) - [j7]Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin:
Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC 2023: 1-7 - [c11]Ruslan Shaydulin, Marco Pistoia:
QAOAwith $N\cdot p\geq 200$. QCE 2023: 1074-1077 - [c10]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. SC Workshops 2023: 1443-1451 - [i29]Ruslan Shaydulin, Marco Pistoia:
QAOA with N·p≥200. CoRR abs/2303.02064 (2023) - [i28]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. CoRR abs/2303.16585 (2023) - [i27]Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia:
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. CoRR abs/2305.03857 (2023) - [i26]Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - [i25]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. CoRR abs/2309.04841 (2023) - [i24]Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia:
Blind quantum machine learning with quantum bipartite correlator. CoRR abs/2310.12893 (2023) - 2022
- [j6]Justin Sybrandt, Ruslan Shaydulin, Ilya Safro:
Hypergraph Partitioning With Embeddings. IEEE Trans. Knowl. Data Eng. 34(6): 2771-2782 (2022) - [c9]Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson:
Multiangle QAOA Does Not Always Need All Its Angles. SEC 2022: 414-419 - [c8]Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. QCE 2022: 133-141 - [c7]Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin:
Characterizing Error Mitigation by Symmetry Verification in QAOA. QCE 2022: 635-645 - [i23]Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. CoRR abs/2205.00118 (2022) - [i22]Alvin Gonzales, Ruslan Shaydulin, Zain H. Saleem, Martin Suchara:
Quantum Error Mitigation by Pauli Check Sandwiching. CoRR abs/2206.00215 (2022) - [i21]Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia:
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer. CoRR abs/2206.06290 (2022) - [i20]Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin:
Bandwidth Enables Generalization in Quantum Kernel Models. CoRR abs/2206.06686 (2022) - [i19]Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson:
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. CoRR abs/2211.07016 (2022) - [i18]Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Sami Khairy, Stefan M. Wild:
Numerical evidence against advantage with quantum fidelity kernels on classical data. CoRR abs/2211.16551 (2022) - 2021
- [j5]Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro:
ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics 26: 1.7:1-1.7:32 (2021) - [j4]Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro:
Classical symmetries and the Quantum Approximate Optimization Algorithm. Quantum Inf. Process. 20(11): 359 (2021) - [j3]Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov:
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. Quantum 5: 580 (2021) - [c6]Ruslan Shaydulin, Alexey Galda:
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries. QCE 2021: 291-300 - [i17]Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio:
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. CoRR abs/2102.05566 (2021) - [i16]Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov:
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. CoRR abs/2105.02291 (2021) - [i15]Ruslan Shaydulin, Alexey Galda:
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries. CoRR abs/2106.04410 (2021) - [i14]Ruslan Shaydulin, Kunal Marwaha, Jonathan Wurtz, Phillip C. Lotshaw:
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA. CoRR abs/2110.05555 (2021) - [i13]Ruslan Shaydulin, Stefan M. Wild:
Importance of Kernel Bandwidth in Quantum Machine Learning. CoRR abs/2111.05451 (2021) - 2020
- [c5]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. AAAI 2020: 2367-2375 - [c4]Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero:
Making Quantum Computing Open: Lessons from Open Source Projects. ICSE (Workshops) 2020: 451-455 - [i12]Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro:
Classical symmetries and QAOA. CoRR abs/2012.04713 (2020)
2010 – 2019
- 2019
- [j2]Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev:
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. Computer 52(6): 18-26 (2019) - [j1]Ruslan Shaydulin, Jie Chen, Ilya Safro:
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. Multiscale Model. Simul. 17(1): 482-506 (2019) - [c3]Ruslan Shaydulin, Yuri Alexeev:
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. IGSC 2019: 1-6 - [c2]Ruslan Shaydulin, Ilya Safro, Jeffrey Larson:
Multistart Methods for Quantum Approximate optimization. HPEC 2019: 1-8 - [i11]Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero:
Making Quantum Computing Open: Lessons from Open-Source Projects. CoRR abs/1902.00991 (2019) - [i10]Justin Sybrandt, Ruslan Shaydulin, Ilya Safro:
Hypergraph Partitioning With Embeddings. CoRR abs/1909.04016 (2019) - [i9]Ruslan Shaydulin, Yuri Alexeev:
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. CoRR abs/1910.04881 (2019) - [i8]Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro:
Multilevel Combinatorial Optimization Across Quantum Architectures. CoRR abs/1910.09985 (2019) - [i7]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. CoRR abs/1911.04574 (2019) - [i6]Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro:
Network Alignment by Propagating Reliable Similarities. CoRR abs/1911.05486 (2019) - [i5]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. CoRR abs/1911.11071 (2019) - 2018
- [c1]Ruslan Shaydulin, Ilya Safro:
Aggregative Coarsening for Multilevel Hypergraph Partitioning. SEA 2018: 2:1-2:15 - [i4]Ruslan Shaydulin, Ilya Safro:
Aggregative Coarsening for Multilevel Hypergraph Partitioning. CoRR abs/1802.09610 (2018) - [i3]Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev:
Community Detection Across Emerging Quantum Architectures. CoRR abs/1810.07765 (2018) - 2017
- [i2]Ruslan Shaydulin, Justin Sybrandt:
To Agile, or not to Agile: A Comparison of Software Development Methodologies. CoRR abs/1704.07469 (2017) - [i1]Ruslan Shaydulin, Jie Chen, Ilya Safro:
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. CoRR abs/1710.06552 (2017)
Coauthor Index
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