Alexeev, Yuri

VQE method: a short survey and recent developments

Fedorov, D. A., Peng, B., Govind, N., & Alexeev, Y. (2022) · Materials Theory

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 224

Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem

Shaydulin, R., Li, C., Chakrabarti, S., DeCross, M., Herman, D., Kumar, N., Larson, J., Lykov, D., Minssen, P., Sun, Y., et al. (2024) · Science Advances

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 120

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems

Khairy, S., Shaydulin, R., Cincio, L., Alexeev, Y., & Balaprakash, P. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 117

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers

Liu, X., Angone, A., Shaydulin, R., Safro, I., Alexeev, Y., & Cincio, L. (2022) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 78

Transferability of optimal QAOA parameters between random graphs

Galda, A., Liu, X., Lykov, D., Alexeev, Y., & Safro, I. (2021) · 2021 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 72

Evaluating Quantum Approximate Optimization Algorithm: A Case Study

Shaydulin, R., & Alexeev, Y. (2019) · 2019 Tenth International Green and Sustainable Computing Conference (IGSC)

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 55

The computational power of random quantum circuits in arbitrary geometries

DeCross, M., Haghshenas, R., Liu, M., Rinaldi, E., Gray, J., Alexeev, Y., Baldwin, C. H., Bartolotta, J. P., Bohn, M., Chertkov, E., et al. (2024) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 45

Fast Simulation of High-Depth QAOA Circuits

Lykov, D., Shaydulin, R., Sun, Y., Alexeev, Y., & Pistoia, M. (2023) · Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 27

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems

Khairy, S., Shaydulin, R., Cincio, L., Alexeev, Y., & Balaprakash, P. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 21