Yuri Alexeev

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 58

Top Topics

Quantum Computing

Scientific Data

Lossy Compression

Optimization Algorithm

Top Venues

IPDPS Workshops

Publications

Matthew Otten, Byeol Kang, Dmitry A. Fedorov, Anouar Benali, Salman Habib, Yuri Alexeev, Stephen K. Gray
QREChem: Quantum Resource Estimation Software for Chemistry Applications. CoRR (2024)
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, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160 (2024)
Jose Falla, Quinn Langfitt, Yuri Alexeev, Ilya Safro
Graph representation learning for parameter transferability in quantum approximate optimization algorithm. Quantum Mach. Intell. 6 (2) (2024)
Sahil Gulania, Yuri Alexeev, Stephen K. Gray, Bo Peng, Niranjan Govind
Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network. CoRR (2024)
Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev
Parameter Transferability in QAOA Under Noisy Conditions. QCE (2023)
Yunfei Wang, Yuri Alexeev, Liang Jiang, Frederic T. Chong, Junyu Liu
Fundamental causal bounds of quantum random access memories. CoRR (2023)
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
Fast Simulation of High-Depth QAOA Circuits. CoRR (2023)
Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia
Fast Simulation of High-Depth QAOA Circuits. SC Workshops (2023)
Ankit Kulshrestha, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops (2023)
Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang
Distributionally Robust Variational Quantum Algorithms with Shifted Noise. CoRR (2023)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. CoRR (2023)
Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev
Supercomputing tensor networks for U(1) symmetric quantum many-body systems. CoRR (2023)
Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR (2023)
Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev
Complexity of Gaussian boson sampling with tensor networks. CoRR (2023)
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 (2023)
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)
Dmitry A. Fedorov, Matthew Otten, Byeol Kang, Anouar Benali, Salman Habib, Stephen K. Gray, Yuri Alexeev
Quantum Resource Estimation for Quantum Chemistry Algorithms. QCE (2022)
Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev
Embedding Learning in Hybrid Quantum-Classical Neural Networks. QCE (2022)
Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. CoRR (2022)
Minzhao Liu, Junyu Liu, Yuri Alexeev, Liang Jiang
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits. CoRR (2022)
Dmitry A. Fedorov, Yuri Alexeev, Stephen K. Gray, Matthew Otten
Unitary Selective Coupled-Cluster Method. Quantum 6 (2022)
Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC (2022)
Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev
QuYBE - An Algebraic Compiler for Quantum Circuit Compression. SEC (2022)
Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR (2022)
Michelle Chalupnik, Hans Melo, Yuri Alexeev, Alexey Galda
Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer. QCE (2022)
Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev
Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE (2022)
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 (2022)
Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding, Jonathan M. Baker, Yuri Alexeev, Kenneth R. Brown, Frederic T. Chong
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. HPCA (2021)
Danylo Lykov, Yuri Alexeev
Importance of Diagonal Gates in Tensor Network Simulations. CoRR (2021)
Danylo Lykov, Yuri Alexeev
Importance of Diagonal Gates in Tensor Network Simulations. ISVLSI (2021)
Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro
Transferability of optimal QAOA parameters between random graphs. QCE (2021)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics 26 (2021)
Thomas Ayral, François-Marie Le Régent, Zain Saleem, Yuri Alexeev, Martin Suchara
Quantum Divide and Compute: Exploring the Effect of Different Noise Sources. SN Comput. Sci. 2 (2) (2021)
Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. CoRR (2021)
Thomas Ayral, François-Marie Le Régent, Zain Saleem, Yuri Alexeev, Martin Suchara
Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations. ISVLSI (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. AAAI (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. CoRR (2019)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
Network Alignment by Propagating Reliable Similarities. CoRR (2019)
Vladimir Mironov, Yuri Alexeev, Vikram Khipple Mulligan, Dmitri G. Fedorov
A systematic study of minima in alanine dipeptide. J. Comput. Chem. 40 (2) (2019)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. CoRR (2019)
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. Computer 52 (6) (2019)
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro
Multilevel Combinatorial Optimization Across Quantum Architectures. CoRR (2019)
Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
Full-state quantum circuit simulation by using data compression. SC (2019)
Vladimir Mironov, Alexander A. Moskovsky, Michael D'Mello, Yuri Alexeev
An efficient MPI/OpenMP parallelization of the Hartree-Fock-Roothaan method for the first generation of Intel® Xeon Phi™ processor architecture. Int. J. High Perform. Comput. Appl. 33 (1) (2019)
Ruslan Shaydulin, Yuri Alexeev
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. IGSC (2019)
Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong
Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Ruslan Shaydulin, Yuri Alexeev
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. CoRR (2019)
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR (2018)
Vladimir Mironov, Andrey Kudryavtsev, Yuri Alexeev, Alexander A. Moskovsky, Igor M. Kulikov, Igor G. Chernykh
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. MCHPC@SC (2018)
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. CoRR (2018)
Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks. BMC Bioinform. (18) (2018)
Vladimir Mironov, Andrey Kudryavtsev, Yuri Alexeev, Alexander A. Moskovsky, Igor M. Kulikov, Igor G. Chernykh
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. CoRR (2018)
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
Community Detection Across Emerging Quantum Architectures. CoRR (2018)
Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt
Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. HPEC (2018)
Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir Mironov, Xin Liang, Franck Cappello
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER (2018)
Vladimir Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'Mello, Alexander A. Moskovsky, Mark S. Gordon
An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor. CoRR (2017)
Vladimir Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'Mello, Alexander A. Moskovsky, Mark S. Gordon
processor. SC (2017)
Vladimir Mironov, Alexander A. Moskovsky, Yuri Alexeev
Power Measurements of Hartree-Fock Algorithms Using Different Storage Devices. IPDPS Workshops (2017)
Yuri Alexeev, Sheri A. Mickelson, Sven Leyffer, Robert L. Jacob, Anthony P. Craig
The Heuristic Static Load-Balancing Algorithm Applied to the Community Earth System Model. IPDPS Workshops (2014)
Prasanna Balaprakash, Yuri Alexeev, Sheri A. Mickelson, Sven Leyffer, Robert L. Jacob, Anthony P. Craig
Machine-Learning-Based Load Balancing for Community Ice Code Component in CESM. VECPAR (2014)
Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, Dmitri G. Fedorov
Heuristic static load-balancing algorithm applied to the fragment molecular orbital method. SC (2012)
Yuri Alexeev, Michael W. Schmidt, Theresa L. Windus, Mark S. Gordon
A parallel distributed data CPHF algorithm for analytic Hessians. J. Comput. Chem. 28 (10) (2007)
Manojkumar Krishnan, Yuri Alexeev, Theresa L. Windus, Jarek Nieplocha
Multilevel Parallelism in Computational Chemistry using Common Component Architecture and Global Arrays. SC (2005)
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
Component-based integration of chemistry and optimization software. J. Comput. Chem. 25 (14) (2004)
Yuri Alexeev, Michael W. Schmidt, Theresa L. Windus, Mark S. Gordon, Ricky A. Kendall
Performance and Implementation of Distributed Data CPHF and SCF Algorithms. CLUSTER (2002)
Zhengting Gan, Yuri Alexeev, Ricky A. Kendall, Mark S. Gordon
A Distributed Data Implementation of Parallel Full CI Program. CLUSTER (2002)
Rajat Todi, Gurpur M. Prabhu, Yuri Alexeev, John L. Gustafson
Evaluation of file access patterns using realistic I/O workloads for a cluster environment. PARCO (1999)