Ruslan Shaydulin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Open Source Projects

Quantum Computing

Extractive Summarization

Optimization Algorithm

Top Venues

Publications

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 (2024)
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 (2024)
Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. CoRR (2024)
Ruslan Shaydulin, Marco Pistoia
QAOAwith $N\cdot p\geq 200$. QCE (2023)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. 2023 (2023)
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 (2023)
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
Fast Simulation of High-Depth QAOA Circuits. CoRR (2023)
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 (2023)
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
Fast Simulation of High-Depth QAOA Circuits. SC Workshops (2023)
El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia
Quantum Deep Hedging. Quantum 7 (2023)
Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC (2023)
El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia
Quantum Deep Hedging. CoRR (2023)
Ruslan Shaydulin, Marco Pistoia
QAOA with N·p≥200. CoRR (2023)
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 (2023)
Alvin Gonzales, Ruslan Shaydulin, Zain Saleem, Martin Suchara
Quantum Error Mitigation by Pauli Check Sandwiching. CoRR (2022)
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. CoRR (2022)
Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin
Characterizing Error Mitigation by Symmetry Verification in QAOA. QCE (2022)
Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson
Multiangle QAOA Does Not Always Need All Its Angles. SEC (2022)
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 (2022)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. CoRR (2022)
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. QCE (2022)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. CoRR (2022)
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 (2022)
Ruslan Shaydulin, Alexey Galda
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries. QCE (2021)
Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. Quantum 5 (2021)
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
Classical symmetries and the Quantum Approximate Optimization Algorithm. Quantum Inf. Process. 20 (11) (2021)
Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. CoRR (2021)
Ruslan Shaydulin, Stefan M. Wild
Importance of Kernel Bandwidth in Quantum Machine Learning. CoRR (2021)
Ruslan Shaydulin, Alexey Galda
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries. CoRR (2021)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics 26 (2021)
Ruslan Shaydulin, Kunal Marwaha, Jonathan Wurtz, Phillip C. Lotshaw
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA. CoRR (2021)
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 (2021)
Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero
Making Quantum Computing Open: Lessons from Open Source Projects. ICSE (Workshops) (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. AAAI (2020)
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
Classical symmetries and QAOA. CoRR (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. CoRR (2019)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
Network Alignment by Propagating Reliable Similarities. CoRR (2019)
Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero
Making Quantum Computing Open: Lessons from Open-Source Projects. CoRR (2019)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. CoRR (2019)
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) (2019)
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro
Multilevel Combinatorial Optimization Across Quantum Architectures. CoRR (2019)
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
Multistart Methods for Quantum Approximate optimization. HPEC (2019)
Ruslan Shaydulin, Yuri Alexeev
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. IGSC (2019)
Ruslan Shaydulin, Yuri Alexeev
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. CoRR (2019)
Ruslan Shaydulin, Jie Chen, Ilya Safro
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. Multiscale Model. Simul. 17 (1) (2019)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. CoRR (2019)
Ruslan Shaydulin, Ilya Safro
Aggregative Coarsening for Multilevel Hypergraph Partitioning. CoRR (2018)
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
Community Detection Across Emerging Quantum Architectures. CoRR (2018)
Ruslan Shaydulin, Ilya Safro
Aggregative Coarsening for Multilevel Hypergraph Partitioning. SEA (2018)
Ruslan Shaydulin, Justin Sybrandt
To Agile, or not to Agile: A Comparison of Software Development Methodologies. CoRR (2017)
Ruslan Shaydulin, Jie Chen, Ilya Safro
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. CoRR (2017)