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2020 – today
- 2023
[c7]Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov
, Yuri Alexeev, Michela Becchi, Franck Cappello:
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767- [c6]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. SC Workshops 2023: 1443-1451 - [i7]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 abs/2308.02342 (2023) - [i6]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. CoRR abs/2309.04841 (2023) - [i5]Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR abs/2310.07858 (2023) - 2022
- [c5]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC 2022: 1-8 - [c4]Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev:
Embedding Learning in Hybrid Quantum-Classical Neural Networks. QCE 2022: 79-86 - [c3]Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev:
Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE 2022: 582-593 - [i4]Danylo Lykov, Angela Chen, Huaxuan Chen, Kristopher Keipert, Zheng Zhang, Tom Gibbs, Yuri Alexeev:
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs. CoRR abs/2204.06045 (2022) - [i3]Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev:
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. CoRR abs/2206.03579 (2022) - [i2]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR abs/2209.02895 (2022) - 2021
- [c2]Danylo Lykov, Yuri Alexeev:
Importance of Diagonal Gates in Tensor Network Simulations. ISVLSI 2021: 447-452 - [c1]Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro:
Transferability of optimal QAOA parameters between random graphs. QCE 2021: 171-180 - [i1]Danylo Lykov, Yuri Alexeev:
Importance of Diagonal Gates in Tensor Network Simulations. CoRR abs/2106.15740 (2021)
Coauthor Index
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