Importance of Diagonal Gates in Tensor Network Simulations. - Danylo Lykov; Yuri Alexeev (ISVLSI, 2021)

Transferability of optimal QAOA parameters between random graphs. - Alexey Galda; Xiaoyuan Liu 001; Danylo Lykov; Yuri Alexeev; Ilya Safro (QCE, 2021)

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. - Cameron Ibrahim; Danylo Lykov; Zichang He; Yuri Alexeev; Ilya Safro (HPEC, 2022)

Embedding Learning in Hybrid Quantum-Classical Neural Networks. - Minzhao Liu; Junyu Liu; Rui Liu; Henry Makhanov; Danylo Lykov; Anuj Apte; Yuri Alexeev (QCE, 2022)

Tensor Network Quantum Simulator With Step-Dependent Parallelization. - Danylo Lykov; Roman Schutski; Alexey Galda; Valeri Vinokur; Yuri Alexeev (QCE, 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)

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)

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. - Milan Shah; Xiaodong Yu 001; Sheng Di; Danylo Lykov; Yuri Alexeev; Michela Becchi; Franck Cappello (IPDPS, 2023)

Fast Simulation of High-Depth QAOA Circuits. - Danylo Lykov; Ruslan Shaydulin; Yue Sun; Yuri Alexeev; Marco Pistoia (SC Workshops, 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 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (CoRR, 2023)

QArchSearch: A Scalable Quantum Architecture Search Package. - Ankit Kulshrestha; Danylo Lykov; Ilya Safro; Yuri Alexeev (CoRR, 2023)

Code from "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 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (Zenodo, 2023)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

Certified randomness using a trapped-ion quantum processor. - 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; et al. (Nat., 2025)