To Agile, or not to Agile: A Comparison of Software Development Methodologies. - Ruslan Shaydulin; Justin Sybrandt (CoRR, 2017)

Aggregative Coarsening for Multilevel Hypergraph Partitioning. - Ruslan Shaydulin; Ilya Safro (SEA, 2018)

Community Detection Across Emerging Quantum Architectures. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (CoRR, 2018)

Evaluating Quantum Approximate Optimization Algorithm: A Case Study. - Ruslan Shaydulin; Yuri Alexeev (IGSC, 2019)

Multistart Methods for Quantum Approximate optimization. - Ruslan Shaydulin; Ilya Safro; Jeffrey Larson 001 (HPEC, 2019)

A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Christian F. A. Negre; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (Computer, 2019)

Multilevel Combinatorial Optimization Across Quantum Architectures. - Hayato Ushijima-Mwesigwa; Ruslan Shaydulin; Christian F. A. Negre; Susan M. Mniszewski; Yuri Alexeev; Ilya Safro (CoRR, 2019)

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (CoRR, 2019)

Network Alignment by Propagating Reliable Similarities. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (CoRR, 2019)

Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. - Ruslan Shaydulin; Jie Chen 007; Ilya Safro (Multiscale Model. Simul., 2019)

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (AAAI, 2020)

Making Quantum Computing Open: Lessons from Open Source Projects. - Ruslan Shaydulin; Caleb Thomas; Paige Rodeghero (ICSE (Workshops), 2020)

Classical symmetries and QAOA. - Ruslan Shaydulin; Stuart Hadfield; Tad Hogg; Ilya Safro (CoRR, 2020)

Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries. - Ruslan Shaydulin; Alexey Galda (QCE, 2021)

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. - Xiaoyuan Liu 001; Anthony Angone; Ruslan Shaydulin; Ilya Safro; Yuri Alexeev; Lukasz Cincio (CoRR, 2021)

QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA. - Ruslan Shaydulin; Kunal Marwaha; Jonathan Wurtz; Phillip C. Lotshaw (CoRR, 2021)

Importance of Kernel Bandwidth in Quantum Machine Learning. - Ruslan Shaydulin; Stefan M. Wild (CoRR, 2021)

ELRUNA: Elimination Rule-based Network Alignment. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (ACM J. Exp. Algorithmics, 2021)

Classical symmetries and the Quantum Approximate Optimization Algorithm. - Ruslan Shaydulin; Stuart Hadfield; Tad Hogg; Ilya Safro (Quantum Inf. Process., 2021)

Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. - Sergey Bravyi 001; Ruslan Shaydulin; Shaohan Hu; Dmitri Maslov (Quantum, 2021)

Multiangle QAOA Does Not Always Need All Its Angles. - Kaiyan Shi; Rebekah Herrman; Ruslan Shaydulin; Shouvanik Chakrabarti; Marco Pistoia; Jeffrey Larson 001 (SEC, 2022)

Characterizing Error Mitigation by Symmetry Verification in QAOA. - Ashish Kakkar; Jeffrey Larson 001; Alexey Galda; Ruslan Shaydulin (QCE, 2022)

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. - Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (QCE, 2022)

Quantum Error Mitigation by Pauli Check Sandwiching. - Alvin Gonzales; Ruslan Shaydulin; Zain H. Saleem; Martin Suchara (CoRR, 2022)

Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer. - Pradeep Niroula; Ruslan Shaydulin; Romina Yalovetzky; Pierre Minssen; Dylan Herman; Shaohan Hu; Marco Pistoia (CoRR, 2022)

Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. - Tianyi Hao 005; Ruslan Shaydulin; Marco Pistoia; Jeffrey Larson 001 (CoRR, 2022)

Numerical evidence against advantage with quantum fidelity kernels on classical data. - Lucas Slattery; Ruslan Shaydulin; Shouvanik Chakrabarti; Marco Pistoia; Sami Khairy; Stefan M. Wild (CoRR, 2022)

Hypergraph Partitioning With Embeddings. - Justin Sybrandt; Ruslan Shaydulin; Ilya Safro (IEEE Trans. Knowl. Data Eng., 2022)

Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. - Anthony Angone; Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (HPEC, 2023)

QAOAwith $N cdot p geq 200$. - Ruslan Shaydulin; Marco Pistoia (QCE, 2023)

Fast Simulation of High-Depth QAOA Circuits. - Danylo Lykov; Ruslan Shaydulin; Yue Sun; Yuri Alexeev; Marco Pistoia (SC Workshops, 2023)

QAOA with N·p≥200. - Ruslan Shaydulin; Marco Pistoia (CoRR, 2023)

Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. - Zichang He; Ruslan Shaydulin; Shouvanik Chakrabarti; Dylan Herman; Changhao Li; Yue Sun; Marco Pistoia (CoRR, 2023)

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (CoRR, 2023)

Blind quantum machine learning with quantum bipartite correlator. - Changhao Li; Boning Li; Omar Amer; Ruslan Shaydulin; Shouvanik Chakrabarti; Guoqing Wang; Haowei Xu; Hao Tang; Isidor Schoch; Niraj Kumar 005; Charles Lim; Ju Li 003; et al. (CoRR, 2023)

Bandwidth Enables Generalization in Quantum Kernel Models. - Abdulkadir Canatar; Evan Peters; Cengiz Pehlevan; Stefan M. Wild; Ruslan Shaydulin (Trans. Mach. Learn. Res., 2023)

Code from "Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem". - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (Zenodo, 2023)

Quantum Deep Hedging. - 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; et al. (Quantum, 2023)

Invited: Challenges and Opportunities of Quantum Optimization in Finance. - Zichang He; Shouvanik Chakrabarti; Dylan Herman; Niraj Kumar 005; Changhao Li; Pierre Minssen; Pradeep Niroula; Ruslan Shaydulin; Yue Sun; Shree Hari Sureshbabu; Romina Yalovetzky; Marco Pistoia (DAC, 2024)

Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. - Zichang He; Ruslan Shaydulin; Dylan Herman; Changhao Li; Rudy Raymond; Shree Hari Sureshbabu; Marco Pistoia (ICCAD, 2024)

Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. - Tianyi Hao 003; Zichang He; Ruslan Shaydulin; Marco Pistoia; Swamit Tannu (QCE, 2024)

Q-CHOP: Quantum constrained Hamiltonian optimization. - Michael A. Perlin; Ruslan Shaydulin; Benjamin P. Hall; Pierre Minssen; Changhao Li; Kabir Dubey; Richard Rines; Eric R. Anschütz; Marco Pistoia; Pranav Gokhale (CoRR, 2024)

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. - Tianyi Hao 005; Zichang He; Ruslan Shaydulin; Jeffrey Larson 001; Marco Pistoia (CoRR, 2024)

Performance of Quantum Approximate Optimization with Quantum Error Detection. - Zichang He; David Amaro; Ruslan Shaydulin; Marco Pistoia (CoRR, 2024)

Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization. - Shouvanik Chakrabarti; Dylan Herman; Guneykan Ozgul; Shuchen Zhu; Brandon Augustino; Tianyi Hao 006; Zichang He; Ruslan Shaydulin; Marco Pistoia (CoRR, 2024)

Parameter Setting in Quantum Approximate Optimization of Weighted Problems. - Shree Hari Sureshbabu; Dylan Herman; Ruslan Shaydulin; Joao Basso; Shouvanik Chakrabarti; Yue Sun; Marco Pistoia (Quantum, 2024)

Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz. - Zichang He; Rudy Raymond; Ruslan Shaydulin; Marco Pistoia (CoRR, 2025)

Applications of Certified Randomness. - Omar Amer; Shouvanik Chakrabarti; Kaushik Chakraborty; Shaltiel Eloul; Niraj Kumar 005; Charles Lim; Minzhao Liu; Pradeep Niroula; Yash Satsangi; Ruslan Shaydulin; Marco Pistoia (CoRR, 2025)

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm. - Anuj Apte; Shree Hari Sureshbabu; Ruslan Shaydulin; Sami Boulebnane; Zichang He; Dylan Herman; James Sud; Marco Pistoia (CoRR, 2025)

Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm. - Yuwei Jin; Zichang He; Tianyi Hao 003; David Amaro; Swamit Tannu; Ruslan Shaydulin; Marco Pistoia (CoRR, 2025)

Certified randomness using a trapped-ion quantum processor. - 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; et al. (Nat., 2025)