Evaluation of file access patterns using realistic I/O workloads for a cluster environment. - Rajat Todi; Gurpur M. Prabhu; Yuri Alexeev; John L. Gustafson (PARCO, 1999)

Performance and Implementation of Distributed Data CPHF and SCF Algorithms. - Yuri Alexeev; Michael W. Schmidt; Theresa L. Windus; Mark S. Gordon; Ricky A. Kendall (CLUSTER, 2002)

A Distributed Data Implementation of Parallel Full CI Program. - Zhengting Gan; Yuri Alexeev; Ricky A. Kendall; Mark S. Gordon (CLUSTER, 2002)

Component-based integration of chemistry and optimization software. - Joseph P. Kenny; Steven Benson; Yuri Alexeev; Jason Sarich; Curtis L. Janssen; Lois Curfman McInnes; Manojkumar Krishnan; Jarek Nieplocha; Elizabeth Jurrus; Carl Fahlstrom; Theresa L. Windus (J. Comput. Chem., 2004)

Multilevel Parallelism in Computational Chemistry using Common Component Architecture and Global Arrays. - Manojkumar Krishnan; Yuri Alexeev; Theresa L. Windus; Jarek Nieplocha (SC, 2005)

A parallel distributed data CPHF algorithm for analytic Hessians. - Yuri Alexeev; Michael W. Schmidt; Theresa L. Windus; Mark S. Gordon (J. Comput. Chem., 2007)

Heuristic static load-balancing algorithm applied to the fragment molecular orbital method. - Yuri Alexeev; Ashutosh Mahajan; Sven Leyffer; Graham Fletcher; Dmitri G. Fedorov (SC, 2012)

The Heuristic Static Load-Balancing Algorithm Applied to the Community Earth System Model. - Yuri Alexeev; Sheri A. Mickelson; Sven Leyffer; Robert L. Jacob; Anthony P. Craig (IPDPS Workshops, 2014)

Machine-Learning-Based Load Balancing for Community Ice Code Component in CESM. - Prasanna Balaprakash; Yuri Alexeev; Sheri A. Mickelson; Sven Leyffer; Robert L. Jacob; Anthony P. Craig (VECPAR, 2014)

Power Measurements of Hartree-Fock Algorithms Using Different Storage Devices. - Vladimir A. Mironov; Alexander A. Moskovsky; Yuri Alexeev (IPDPS Workshops, 2017)

An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi™ processor. - Vladimir A. Mironov; Yuri Alexeev; Kristopher Keipert; Michael D'Mello; Alexander A. Moskovsky; Mark S. Gordon (SC, 2017)

An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor. - Vladimir A. Mironov; Yuri Alexeev; Kristopher Keipert; Michael D'Mello; Alexander A. Moskovsky; Mark S. Gordon (CoRR, 2017)

PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. - Ali Murat Gok; Sheng Di; Yuri Alexeev; Dingwen Tao; Vladimir A. Mironov; Xin Liang 001; Franck Cappello (CLUSTER, 2018)

Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. - Ahmed Sanaullah; Chen Yang 010; Yuri Alexeev; Kazutomo Yoshii; Martin C. Herbordt (HPEC, 2018)

Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. - Vladimir A. Mironov; Andrey Kudryavtsev; Yuri Alexeev; Alexander A. Moskovsky; Igor M. Kulikov; Igor G. Chernykh (MCHPC@SC, 2018)

Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks. - Ahmed Sanaullah; Chen Yang 010; Yuri Alexeev; Kazutomo Yoshii; Martin C. Herbordt (BMC Bioinform., 2018)

Community Detection Across Emerging Quantum Architectures. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (CoRR, 2018)

Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Evaluating Quantum Approximate Optimization Algorithm: A Case Study. - Ruslan Shaydulin; Yuri Alexeev (IGSC, 2019)

Full-state quantum circuit simulation by using data compression. - Xin-Chuan Wu; Sheng Di; Emma Maitreyee Dasgupta; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (SC, 2019)

A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Christian F. A. Negre; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (Computer, 2019)

Multilevel Combinatorial Optimization Across Quantum Architectures. - Hayato Ushijima-Mwesigwa; Ruslan Shaydulin; Christian F. A. Negre; Susan M. Mniszewski; Yuri Alexeev; Ilya Safro (CoRR, 2019)

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (CoRR, 2019)

Network Alignment by Propagating Reliable Similarities. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (CoRR, 2019)

Use cases of lossy compression for floating-point data in scientific data sets. - Franck Cappello; Sheng Di; Sihuan Li; Xin Liang 001; Ali Murat Gok; Dingwen Tao; Chun Hong Yoon; Xin-Chuan Wu; Yuri Alexeev; Frederic T. Chong (Int. J. High Perform. Comput. Appl., 2019)

An efficient MPI/OpenMP parallelization of the Hartree-Fock-Roothaan method for the first generation of Intel® Xeon Phi™ processor architecture. - Vladimir A. Mironov; Alexander A. Moskovsky; Michael D'Mello; Yuri Alexeev (Int. J. High Perform. Comput. Appl., 2019)

A systematic study of minima in alanine dipeptide. - Vladimir A. Mironov; Yuri Alexeev; Vikram Khipple Mulligan; Dmitri G. Fedorov (J. Comput. Chem., 2019)

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (AAAI, 2020)

Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations. - Thomas Ayral; François-Marie Le Régent; Zain H. Saleem; Yuri Alexeev; Martin Suchara (ISVLSI, 2020)

TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. - Xin-Chuan Wu; Dripto M. Debroy; Yongshan Ding 001; Jonathan M. Baker; Yuri Alexeev; Kenneth R. Brown; Frederic T. Chong (HPCA, 2021)

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)

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. - Xiaoyuan Liu 001; Anthony Angone; Ruslan Shaydulin; Ilya Safro; Yuri Alexeev; Lukasz Cincio (CoRR, 2021)

ELRUNA: Elimination Rule-based Network Alignment. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (ACM J. Exp. Algorithmics, 2021)

Quantum Divide and Compute: Exploring the Effect of Different Noise Sources. - Thomas Ayral; François-Marie Le Régent; Zain H. Saleem; Yuri Alexeev; Martin Suchara (SN Comput. Sci., 2021)

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

QuYBE - An Algebraic Compiler for Quantum Circuit Compression. - Sahil Gulania; Zichang He; Bo Peng; Niranjan Govind; Yuri Alexeev (SEC, 2022)

Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer. - Michelle Chalupnik; Hans Melo; Yuri Alexeev; Alexey Galda (QCE, 2022)

Quantum Resource Estimation for Quantum Chemistry Algorithms. - Dmitry A. Fedorov; Matthew Otten; Byeol Kang; Anouar Benali; Salman Habib; Stephen K. Gray; Yuri Alexeev (QCE, 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)

Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits. - Minzhao Liu; Junyu Liu; Yuri Alexeev; Liang Jiang (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)

Unitary Selective Coupled-Cluster Method. - Dmitry A. Fedorov; Yuri Alexeev; Stephen K. Gray; Matthew Otten (Quantum, 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)

Parameter Transferability in QAOA Under Noisy Conditions. - Quinn Langfitt; Jose Falla; Ilya Safro; Yuri Alexeev (QCE, 2023)

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

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

Complexity of Gaussian boson sampling with tensor networks. - Minzhao Liu; Changhun Oh; Junyu Liu; Liang Jiang; Yuri Alexeev (CoRR, 2023)

Towards provably efficient quantum algorithms for large-scale machine-learning models. - Junyu Liu; Minzhao Liu; Jin-Peng Liu; Ziyu Ye; Yuri Alexeev; Jens Eisert; Liang Jiang (CoRR, 2023)

Supercomputing tensor networks for U(1) symmetric quantum many-body systems. - Minzhao Liu; Changhun Oh; Junyu Liu; Liang Jiang; Yuri Alexeev (CoRR, 2023)

Fundamental causal bounds of quantum random access memories. - Yunfei Wang; Yuri Alexeev; Liang Jiang; Frederic T. Chong; Junyu Liu (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 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (CoRR, 2023)

Distributionally Robust Variational Quantum Algorithms with Shifted Noise. - Zichang He; Bo Peng; Yuri Alexeev; Zheng Zhang (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)

Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network. - Sahil Gulania; Yuri Alexeev; Stephen K. Gray; Bo Peng; Niranjan Govind (CoRR, 2024)

QREChem: Quantum Resource Estimation Software for Chemistry Applications. - Matthew Otten; Byeol Kang; Dmitry A. Fedorov; Anouar Benali; Salman Habib; Yuri Alexeev; Stephen K. Gray (CoRR, 2024)

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. - Masoud Mohseni; Artur Scherer; K. Grace Johnson; Oded Wertheim; Matthew Otten; Navid Anjum Aadit; Yuri Alexeev; Kirk M. Bresniker; Kerem Yunus Çamsari; Barbara Chapman; Soumitra Chatterjee; Gebremedhin A. Dagnew; et al. (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Graph representation learning for parameter transferability in quantum approximate optimization algorithm. - Jose Falla; Quinn Langfitt; Yuri Alexeev; Ilya Safro (Quantum Mach. Intell., 2024)

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)

QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits. - Ilya Tyagin; Marwa H. Farag; Kyle Sherbert; Karunya Shirali; Yuri Alexeev; Ilya Safro (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)