Danylo Lykov - RankMe

18 papers A 2Misc 3Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Certified randomness using a trapped-ion quantum processor. CoRR 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, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025	J	`jnl`	Certified randomness using a trapped-ion quantum processor. Nat. 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, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025	J	`jnl`	Lossy Compression of Scientific Data: Applications Constrains and Requirements. CoRR Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker
2025	A	`conf`	What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. SC Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao
2023	J	`jnl`	Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR 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
2023	—	`conf`	Fast Simulation of High-Depth QAOA Circuits. SC Workshops Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
2023	J	`jnl`	Fast Simulation of High-Depth QAOA Circuits. CoRR Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
2023	A	`conf`	GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
2023	J	`jnl`	QArchSearch: A Scalable Quantum Architecture Search Package. CoRR Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
2022	—	`conf`	Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
2022	J	`jnl`	Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
2022	Misc	`conf`	Embedding Learning in Hybrid Quantum-Classical Neural Networks. QCE Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev
2022	J	`jnl`	Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs. CoRR Danylo Lykov, Angela Chen, Huaxuan Chen, Kristopher Keipert, Zheng Zhang, Tom Gibbs, Yuri Alexeev
2022	J	`jnl`	Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. CoRR Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev
2022	Misc	`conf`	Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev
2021	—	`conf`	Importance of Diagonal Gates in Tensor Network Simulations. ISVLSI Danylo Lykov, Yuri Alexeev
2021	J	`jnl`	Importance of Diagonal Gates in Tensor Network Simulations. CoRR Danylo Lykov, Yuri Alexeev
2021	Misc	`conf`	Transferability of optimal QAOA parameters between random graphs. QCE Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro