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2020 – today
- 2025
[i28]Franck Cappello, Allison H. Baker, Ebru Bozda, 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:
Lossy Compression of Scientific Data: Applications Constrains and Requirements. CoRR abs/2503.20031 (2025)- [i27]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:
Certified randomness using a trapped-ion quantum processor. CoRR abs/2503.20498 (2025) - 2024
- [j12]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 J. 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: 666-710 (2024) - [j11]Jose Falla, Quinn Langfitt, Yuri Alexeev, Ilya Safro:
Graph representation learning for parameter transferability in quantum approximate optimization algorithm. Quantum Mach. Intell. 6(2): 46 (2024) - [i26]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 abs/2401.17116 (2024) - [i25]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 abs/2404.16351 (2024) - 2023
- [c29]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: 757-767 - [c28]Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev:
Parameter Transferability in QAOA Under Noisy Conditions. QCE 2023: 300-301 - [c27]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. SC Workshops 2023: 1443-1451 - [c26]Ankit Kulshrestha, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops 2023: 1487-1491 - [i24]Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev:
Complexity of Gaussian boson sampling with tensor networks. CoRR abs/2301.12814 (2023) - [i23]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 abs/2303.03428 (2023) - [i22]Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev:
Supercomputing tensor networks for U(1) symmetric quantum many-body systems. CoRR abs/2303.11409 (2023) - [i21]Yunfei Wang, Yuri Alexeev, Liang Jiang, Frederic T. Chong, Junyu Liu:
Fundamental causal bounds of quantum random access memories. CoRR abs/2307.13460 (2023) - [i20]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 abs/2308.02342 (2023) - [i19]Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang:
Distributionally Robust Variational Quantum Algorithms with Shifted Noise. CoRR abs/2308.14935 (2023) - [i18]Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. CoRR abs/2309.04841 (2023) - [i17]Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR abs/2310.07858 (2023) - 2022
- [j10]Dmitry A. Fedorov, Yuri Alexeev, Stephen K. Gray, Matthew Otten:
Unitary Selective Coupled-Cluster Method. Quantum 6: 703 (2022) - [c25]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC 2022: 1-8 - [c24]Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev:
QuYBE - An Algebraic Compiler for Quantum Circuit Compression. SEC 2022: 406-410 - [c23]Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev:
Embedding Learning in Hybrid Quantum-Classical Neural Networks. QCE 2022: 79-86 - [c22]Michelle Chalupnik, Hans Melo, Yuri Alexeev, Alexey Galda:
Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer. QCE 2022: 97-103 - [c21]Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev:
Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE 2022: 582-593 - [c20]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: 859-861 - [i16]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 abs/2204.06045 (2022) - [i15]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 abs/2205.09900 (2022) - [i14]Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev:
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. CoRR abs/2206.03579 (2022) - [i13]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR abs/2209.02895 (2022) - 2021
- [j9]Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro:
ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics 26: 1.7:1-1.7:32 (2021) - [j8]Thomas Ayral, François-Marie Le Régent, Zain H. Saleem, Yuri Alexeev, Martin Suchara:
Quantum Divide and Compute: Exploring the Effect of Different Noise Sources. SN Comput. Sci. 2(2): 132 (2021) - [c19]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: 153-166 - [c18]Danylo Lykov, Yuri Alexeev:
Importance of Diagonal Gates in Tensor Network Simulations. ISVLSI 2021: 447-452 - [c17]Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro:
Transferability of optimal QAOA parameters between random graphs. QCE 2021: 171-180 - [i12]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 abs/2102.05566 (2021) - [i11]Danylo Lykov, Yuri Alexeev:
Importance of Diagonal Gates in Tensor Network Simulations. CoRR abs/2106.15740 (2021) - 2020
- [c16]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. AAAI 2020: 2367-2375 - [c15]Thomas Ayral, François-Marie Le Régent, Zain H. Saleem, Yuri Alexeev, Martin Suchara:
Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations. ISVLSI 2020: 138-140
2010 – 2019
- 2019
- [j7]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): 18-26 (2019) - [j6]Vladimir A. 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) - [j5]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) - [j4]Vladimir A. Mironov, Yuri Alexeev, Vikram Khipple Mulligan, Dmitri G. Fedorov:
A systematic study of minima in alanine dipeptide. J. Comput. Chem. 40(2): 297-309 (2019) - [c14]Ruslan Shaydulin, Yuri Alexeev:
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. IGSC 2019: 1-6 - [c13]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: 80:1-80:24 - [i10]Ruslan Shaydulin, Yuri Alexeev:
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. CoRR abs/1910.04881 (2019) - [i9]Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro:
Multilevel Combinatorial Optimization Across Quantum Architectures. CoRR abs/1910.09985 (2019) - [i8]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. CoRR abs/1911.04574 (2019) - [i7]Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro:
Network Alignment by Propagating Reliable Similarities. CoRR abs/1911.05486 (2019) - [i6]Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. CoRR abs/1911.11071 (2019) - 2018
- [j3]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. 19-S(18): 19-31 (2018) - [c12]Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello:
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER 2018: 1-11 - [c11]Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt:
Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. HPEC 2018: 1-9 - [c10]Vladimir A. 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: 14-21 - [i5]Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev:
Community Detection Across Emerging Quantum Architectures. CoRR abs/1810.07765 (2018) - [i4]Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR abs/1811.05140 (2018) - [i3]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 abs/1811.05630 (2018) - [i2]Vladimir A. 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 abs/1811.10220 (2018) - 2017
- [c9]Vladimir A. Mironov, Alexander A. Moskovsky, Yuri Alexeev:
Power Measurements of Hartree-Fock Algorithms Using Different Storage Devices. IPDPS Workshops 2017: 1004-1011 - [c8]Vladimir A. 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. SC 2017: 39 - [i1]Vladimir A. 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 abs/1708.00033 (2017) - 2014
- [c7]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: 1581-1590 - [c6]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: 79-91 - 2012
- [c5]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: 56
2000 – 2009
- 2007
- [j2]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): 1685-1694 (2007) - 2005
- [c4]Manojkumar Krishnan, Yuri Alexeev, Theresa L. Windus, Jarek Nieplocha:
Multilevel Parallelism in Computational Chemistry using Common Component Architecture and Global Arrays. SC 2005: 23 - 2004
- [j1]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): 1717-1725 (2004) - 2002
- [c3]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: 135- - [c2]Zhengting Gan, Yuri Alexeev, Ricky A. Kendall, Mark S. Gordon:
A Distributed Data Implementation of Parallel Full CI Program. CLUSTER 2002: 476-479
1990 – 1999
- 1999
- [c1]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: 689-696
Coauthor Index
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