119 citations · 1.3k across the 37 of their papers we have counts for
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Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
Quantum computing is a computational paradigm with the potential to outperform classical methods for a variety of problems. Proposed recently, the Quantum Approximate Optimization…
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
Quantum computing exploits basic quantum phenomena such as state superposition and entanglement to perform computations. The Quantum Approximate Optimization Algorithm (QAOA) is ar…
ELRUNA: Elimination Rule-based Network Alignment
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu +3
Networks model a variety of complex phenomena across different domains. In many applications, one of the most essential tasks is to align two or more networks to infer the similari…
Evaluating Quantum Approximate Optimization Algorithm: A Case Study
Ruslan Shaydulin, Yuri Alexeev
Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising quantum algorithms for the Noisy Intermediate-Scale Quantum (NISQ) era. Quantifying the performance o…
Multilevel Combinatorial Optimization Across Quantum Architectures
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre +3
Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore's law supercomputing era. However, the limited numbe…
Hypergraph Partitioning With Embeddings
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Problems in scientific computing, such as distributing large sparse matrix operations, have analogous formulations as hypergraph partitioning problems. A hypergraph is a generaliza…
Multistart Methods for Quantum Approximate Optimization
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
Hybrid quantum-classical algorithms such as the quantum approximate optimization algorithm (QAOA) are considered one of the most promising approaches for leveraging near-term quant…
Making Quantum Computing Open: Lessons from Open-Source Projects
Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero
Quantum computing (QC) is an emerging computing paradigm with potential to revolutionize the field of computing. QC is a field that is quickly developing globally and has high barr…