Certified randomness using a trapped-ion quantum processor. - Liu, Minzhao; Shaydulin, Ruslan; Niroula, Pradeep; DeCross, Matthew; Hung, Shih-Han; Kon, Wen Yu; Martín, Enrique Cervero; Chakraborty, Kaushik; Amer, Omar; Aaronson, Scott; Acharya, Atithi; Alexeev, Yuri; et al. (Nat., 2025)

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

Certified randomness using a trapped-ion quantum processor. - Liu, Minzhao; Shaydulin, Ruslan; Niroula, Pradeep; DeCross, Matthew; Hung, Shih-Han; Kon, Wen Yu; Martín, Enrique Cervero; Chakraborty, Kaushik; Amer, Omar; Aaronson, Scott; Acharya, Atithi; Alexeev, Yuri; et al. (CoRR, 2025)

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

Fast Simulation of High-Depth QAOA Circuits. - Lykov, Danylo; Shaydulin, Ruslan; Sun, Yue; Alexeev, Yuri; Pistoia, Marco (2023)

Code from "Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem". - Shaydulin, Ruslan; Li, Changhao; Chakrabarti, Shouvanik; DeCross, Matthew; Herman, Dylan; Kumar, Niraj; Larson, Jeffrey; Lykov, Danylo; Minssen, Pierre; Sun, Yue; Alexeev, Yuri; Dreiling, Joan M.; et al. (Zenodo, 2023)

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. - Shaydulin, Ruslan; Li, Changhao; Chakrabarti, Shouvanik; DeCross, Matthew; Herman, Dylan; Kumar, Niraj; Larson, Jeffrey; Lykov, Danylo; Minssen, Pierre; Sun, Yue; Alexeev, Yuri; Dreiling, Joan M.; et al. (CoRR, 2023)

Fast Simulation of High-Depth QAOA Circuits. - Lykov, Danylo; Shaydulin, Ruslan; Sun, Yue; Alexeev, Yuri; Pistoia, Marco (CoRR, 2023)

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

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

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

Tensor Network Quantum Simulator With Step-Dependent Parallelization. - Lykov, Danylo; Schutski, Roman; Galda, Alexey; Vinokur, Valeri; Alexeev, Yuri (2022)

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs. - Lykov, Danylo; Chen, Angela; Chen, Huaxuan; Keipert, Kristopher; Zhang, Zheng; Gibbs, Tom; Alexeev, Yuri (CoRR, 2022)

Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. - Lykov, Danylo; Wurtz, Jonathan; Poole, Cody; Saffman, Mark; Noel, Tom; Alexeev, Yuri (CoRR, 2022)

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

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

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

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