Ruslan Shaydulin

68 papers A* 2A 1B 1Misc 6Journal 53Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digital signatures with classical shadows on near-term quantum computers.
CoRR
Pradeep Niroula, Minzhao Liu, Sivaprasad Omanakuttan, David Amaro, Shouvanik Chakrabarti, Soumik Ghosh, Zichang He, Yuwei Jin, Fatih Kaleoglu, Steven Kordonowy, Rohan Kumar, Michael A. Perlin, Akshay Seshadri, Matthew Steinberg, Joseph Sullivan, Jacob Watkins, Henry Yuen, Ruslan Shaydulin
2025 J jnl
Applications of Certified Randomness.
CoRR
Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia
2025 J jnl
Certified randomness using a trapped-ion quantum processor.
CoRR
Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025 J jnl
Certified randomness using a trapped-ion quantum processor.
Nat.
Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025 J jnl
Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm.
CoRR
Yuwei Jin, Zichang He, Tianyi Hao, David Amaro, Swamit Tannu, Ruslan Shaydulin, Marco Pistoia
2025 J jnl
Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm.
CoRR
Anuj Apte, Shree Hari Sureshbabu, Ruslan Shaydulin, Sami Boulebnane, Zichang He, Dylan Herman, James Sud, Marco Pistoia
2025 J jnl
Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz.
CoRR
Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia
2024 J jnl
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots.
CoRR
Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia
2024 J jnl
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.
CoRR
Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia
2024 A* conf
Invited: Challenges and Opportunities of Quantum Optimization in Finance.
DAC
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
2024 A conf
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.
ICCAD
Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024 J jnl
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.
CoRR
Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024 J jnl
Parameter Setting in Quantum Approximate Optimization of Weighted Problems.
Quantum
Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, Joao Basso, Shouvanik Chakrabarti, Yue Sun, Marco Pistoia
2024 J jnl
Performance of Quantum Approximate Optimization with Quantum Error Detection.
CoRR
Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia
2024 J jnl
Q-CHOP: Quantum constrained Hamiltonian optimization.
CoRR
Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall, Pierre Minssen, Changhao Li, Kabir Dubey, Richard Rines, Eric R. Anschuetz, Marco Pistoia, Pranav Gokhale
2024 Misc conf
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion.
QCE
Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu
2024 J jnl
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion.
CoRR
Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu
2023 J jnl
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization.
CoRR
Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia
2023 J jnl
Bandwidth Enables Generalization in Quantum Kernel Models.
Trans. Mach. Learn. Res.
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
2023 J jnl
Blind quantum machine learning with quantum bipartite correlator.
CoRR
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
2023 J jnl
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.
CoRR
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
2023 — conf
Fast Simulation of High-Depth QAOA Circuits.
SC Workshops
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
2023 J jnl
Fast Simulation of High-Depth QAOA Circuits.
CoRR
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
2023 — conf
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs.
HPEC
Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2023 J jnl
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut.
ACM Trans. Quantum Comput.
Ruslan Shaydulin, Phillip C. Lotshaw, Jeffrey Larson, James Ostrowski, Travis S. Humble
2023 J jnl
QAOA with N·p≥200.
CoRR
Ruslan Shaydulin, Marco Pistoia
2023 Misc conf
QAOAwith $N\cdot p\geq 200$.
QCE
Ruslan Shaydulin, Marco Pistoia
2023 J jnl
Quantum Deep Hedging.
CoRR
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
2023 J jnl
Quantum Deep Hedging.
Quantum
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
2022 J jnl
Bandwidth Enables Generalization in Quantum Kernel Models.
CoRR
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
2022 Misc conf
Characterizing Error Mitigation by Symmetry Verification in QAOA.
QCE
Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin
2022 J jnl
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer.
CoRR
Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia
2022 J jnl
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization.
CoRR
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson
2022 J jnl
Hypergraph Partitioning With Embeddings.
IEEE Trans. Knowl. Data Eng.
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
2022 Misc conf
Multiangle QAOA Does Not Always Need All Its Angles.
SEC
Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson
2022 J jnl
Numerical evidence against advantage with quantum fidelity kernels on classical data.
CoRR
Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Sami Khairy, Stefan M. Wild
2022 Misc conf
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator.
QCE
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2022 J jnl
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator.
CoRR
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
2022 J jnl
Quantum Error Mitigation by Pauli Check Sandwiching.
CoRR
Alvin Gonzales, Ruslan Shaydulin, Zain H. Saleem, Martin Suchara
2021 J jnl
Classical symmetries and the Quantum Approximate Optimization Algorithm.
Quantum Inf. Process.
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
2021 J jnl
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates.
CoRR
Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov
2021 J jnl
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates.
Quantum
Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov
2021 J jnl
ELRUNA: Elimination Rule-based Network Alignment.
ACM J. Exp. Algorithmics
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
2021 Misc conf
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries.
QCE
Ruslan Shaydulin, Alexey Galda
2021 J jnl
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries.
CoRR
Ruslan Shaydulin, Alexey Galda
2021 J jnl
Importance of Kernel Bandwidth in Quantum Machine Learning.
CoRR
Ruslan Shaydulin, Stefan M. Wild
2021 J jnl
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers.
CoRR
Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio
2021 J jnl
Multilevel Combinatorial Optimization across Quantum Architectures.
ACM Trans. Quantum Comput.
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro
2021 J jnl
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA.
CoRR
Ruslan Shaydulin, Kunal Marwaha, Jonathan Wurtz, Phillip C. Lotshaw
2020 J jnl
Classical symmetries and QAOA.
CoRR
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
2020 A* conf
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.
AAAI
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
2020 — conf
Making Quantum Computing Open: Lessons from Open Source Projects.
ICSE (Workshops)
Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero
2019 J jnl
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers.
Computer
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
2019 — conf
Evaluating Quantum Approximate Optimization Algorithm: A Case Study.
IGSC
Ruslan Shaydulin, Yuri Alexeev
2019 J jnl
Evaluating Quantum Approximate Optimization Algorithm: A Case Study.
CoRR
Ruslan Shaydulin, Yuri Alexeev
2019 J jnl
Hypergraph Partitioning With Embeddings.
CoRR
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
2019 J jnl
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.
CoRR
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
2019 J jnl
Making Quantum Computing Open: Lessons from Open-Source Projects.
CoRR
Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero
2019 J jnl
Multilevel Combinatorial Optimization Across Quantum Architectures.
CoRR
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro
2019 — conf
Multistart Methods for Quantum Approximate optimization.
HPEC
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
2019 J jnl
Network Alignment by Propagating Reliable Similarities.
CoRR
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
2019 J jnl
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems.
CoRR
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
2019 J jnl
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning.
Multiscale Model. Simul.
Ruslan Shaydulin, Jie Chen, Ilya Safro
2018 B conf
Aggregative Coarsening for Multilevel Hypergraph Partitioning.
SEA
Ruslan Shaydulin, Ilya Safro
2018 J jnl
Aggregative Coarsening for Multilevel Hypergraph Partitioning.
CoRR
Ruslan Shaydulin, Ilya Safro
2018 J jnl
Community Detection Across Emerging Quantum Architectures.
CoRR
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
2017 J jnl
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning.
CoRR
Ruslan Shaydulin, Jie Chen, Ilya Safro
2017 J jnl
To Agile, or not to Agile: A Comparison of Software Development Methodologies.
CoRR
Ruslan Shaydulin, Justin Sybrandt