Danylo Lykov

According to our database, Danylo Lykov authored at least 11 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

QArchSearch: A Scalable Quantum Architecture Search Package.

Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev

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, 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

CoRR, 2023

Fast Simulation of High-Depth QAOA Circuits.

Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.

Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm.

Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev

CoRR, 2022

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs.

Danylo Lykov, Angela Chen, Huaxuan Chen, Kristopher Keipert, Zheng Zhang, Tom Gibbs, Yuri Alexeev

CoRR, 2022

Tensor Network Quantum Simulator With Step-Dependent Parallelization.

Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Embedding Learning in Hybrid Quantum-Classical Neural Networks.

Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation.

Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021

Transferability of optimal QAOA parameters between random graphs.

Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Importance of Diagonal Gates in Tensor Network Simulations.

Danylo Lykov, Yuri Alexeev

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021