QIS@Perlmutter
Classical computing power for quantum computing breakthroughs
The QIS@Perlmutter program supports quantum information science researchers with NERSC system resources.
Awarded through a competitive proposal process, the program’s hardware, software, and support resources enable researchers to investigate the interplay between classical and quantum computing using the power of the Perlmutter supercomputer.
Since its founding in 2022, QIS@Perlmutter has awarded over 1 million CPU and GPU node hours to scores of projects, resulting in many new scientific publications and exciting outcomes.
And we’re not done: Proposals are now being accepted for the 2026 allocation year.
Publications
2025
Du, Z., Kan, S., Stein, S., Liang, Z., Li, A., & Mao, Y. (2025). Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2505.09036
QIS@Perlmutter Project: Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
Kumar, R., Wei, W., Mao, Y., Farooq, J., Wang, Y., & Chen, J. (2025). SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2506.24081
QIS@Perlmutter Project: Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
Shah, D., Teo, M., Robinett, R. A., Madejski, S., Morrell, Z., Ramesh, S., … Riesenfeld, S. J. (2025). Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2509.259
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Dangwal, S., Oberoi, T., Sailopal, A., Shah, D., & Chong, F. T. (2025). Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2508.04880
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Kapit, E., Love, P., Larson, J., Sornborger, A., Crane, E., Schuckert, A., … Kais, S. (2025). Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2508.13973
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Sawaya, N. P. D., Camps, D., DalFavero, B., Tubman, N. M., Rotskoff, G. M., & LaRose, R. (2025). Non-Clifford diagonalization for measurement shot reduction in quantum expectation value estimation. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2408.11898
QIS@Perlmutter Project: Function Evaluations with Far Fewer Circuit Repetitions
Akpinar, E., Oduncuoglu, M. Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data. Sci Rep 15, 25935 (2025). Retrieved from doi.org/10.1038/s41598-025-97067-3
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
Akpinar, E., Islam, S.M.N. & Oduncuoglu, M. Multi-classification of brain tumors using proposed hybrid quantum–classical integrated neural network (HQCINN) models: shallow and deep circuit approaches. Neural Comput & Applic 37, 22891–22922 (2025). Retrieved from doi.org/10.1007/s00521-025-11522-w
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
E. Akpinar, B. Hangun, M. Oduncuoglu, O. Altun, O. Eyecioglu, and Z. Yalcin, “Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles,” 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025, pp. 1-6, doi: 10.1109/ISVLSI65124.2025.11130207.
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
E. Akpinar, B. Hangun, M. Oduncuoglu, O. Altun, O. Eyecioglu, and Z. Yalcin, “Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles,” 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025, pp. 1-6, doi: 10.1109/ISVLSI65124.2025.11130207.
QIS@Perlmutter Project: QAOA-Simulation
Siddharth Dangwal, Suhas Vittal, Lennart Maximilian Seifert, Frederic T. Chong, and Gokul Subramanian Ravi. 2025. Variational Quantum Algorithms in the era of Early Fault Tolerance. In Proceedings of the 52nd Annual International Symposium on Computer Architecture (ISCA ’25). Association for Computing Machinery, New York, NY, USA, 1417–1431. doi.org/10.1145/3695053.3731112
QIS@Perlmutter Project: High Performance Classical Simulation Bootstraps for Variational Quantum Algorithms
Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong, and Gokul Subramanian Ravi. 2025. Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms. In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4 (ASPLOS '24). Association for Computing Machinery, New York, NY, USA, 47–62. doi.org/10.1145/3622781.3674178
QIS@Perlmutter Project: High Performance Classical Simulation Bootstraps for Variational Quantum Algorithms
Somjit, V., Davidsson, J., Jin, Y. et al. An NV− center in magnesium oxide as a spin qubit for hybrid quantum technologies. npj Comput Mater 11, 74 (2025). doi.org/10.1038/s41524-025-01558-w
QIS@Perlmutter Project: Platforms for Quantum Information Science: Ab initio investigations of spin defects in insulating oxides and semiconductors
Victor Yu et al. Towards dislocation-driven quantum interconnects. Submitted (2025) doi.org/10.48550/arXiv.2507.12387
QIS@Perlmutter Project: Platforms for Quantum Information Science: Ab initio investigations of spin defects in insulating oxides and semiconductors
Tyagin, I., Farag, M. H., Sherbert, K., Shirali, K., Alexeev, Y., & Safro, I. (2025). QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2504.16350
QIs@Perlmutter Project: Quantum Computing for Battery Materials: Scaling the quantum circuit simulations with NVIDIA CUDA Quantum
2025
Du, Z., Kan, S., Stein, S., Liang, Z., Li, A., & Mao, Y. (2025). Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2505.09036
QIS@Perlmutter Project: Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
Kumar, R., Wei, W., Mao, Y., Farooq, J., Wang, Y., & Chen, J. (2025). SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2506.24081
QIS@Perlmutter Project: Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
Shah, D., Teo, M., Robinett, R. A., Madejski, S., Morrell, Z., Ramesh, S., … Riesenfeld, S. J. (2025). Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2509.259
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Dangwal, S., Oberoi, T., Sailopal, A., Shah, D., & Chong, F. T. (2025). Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2508.04880
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Kapit, E., Love, P., Larson, J., Sornborger, A., Crane, E., Schuckert, A., … Kais, S. (2025). Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2508.13973
QIS@Perlmutter Project: Quantum Biomarker Algorithms for Multimodal Cancer Data
Sawaya, N. P. D., Camps, D., DalFavero, B., Tubman, N. M., Rotskoff, G. M., & LaRose, R. (2025). Non-Clifford diagonalization for measurement shot reduction in quantum expectation value estimation. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2408.11898
QIS@Perlmutter Project: Function Evaluations with Far Fewer Circuit Repetitions
Akpinar, E., Oduncuoglu, M. Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data. Sci Rep 15, 25935 (2025). Retrieved from doi.org/10.1038/s41598-025-97067-3
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
Akpinar, E., Islam, S.M.N. & Oduncuoglu, M. Multi-classification of brain tumors using proposed hybrid quantum–classical integrated neural network (HQCINN) models: shallow and deep circuit approaches. Neural Comput & Applic 37, 22891–22922 (2025). Retrieved from doi.org/10.1007/s00521-025-11522-w
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
E. Akpinar, B. Hangun, M. Oduncuoglu, O. Altun, O. Eyecioglu, and Z. Yalcin, “Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles,” 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025, pp. 1-6, doi: 10.1109/ISVLSI65124.2025.11130207.
QIS@Perlmutter Project: Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field
E. Akpinar, B. Hangun, M. Oduncuoglu, O. Altun, O. Eyecioglu, and Z. Yalcin, “Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles,” 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025, pp. 1-6, doi: 10.1109/ISVLSI65124.2025.11130207.
QIS@Perlmutter Project: QAOA-Simulation
Siddharth Dangwal, Suhas Vittal, Lennart Maximilian Seifert, Frederic T. Chong, and Gokul Subramanian Ravi. 2025. Variational Quantum Algorithms in the era of Early Fault Tolerance. In Proceedings of the 52nd Annual International Symposium on Computer Architecture (ISCA ’25). Association for Computing Machinery, New York, NY, USA, 1417–1431. doi.org/10.1145/3695053.3731112
QIS@Perlmutter Project: High Performance Classical Simulation Bootstraps for Variational Quantum Algorithms
Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong, and Gokul Subramanian Ravi. 2025. Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms. In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4 (ASPLOS '24). Association for Computing Machinery, New York, NY, USA, 47–62. doi.org/10.1145/3622781.3674178
QIS@Perlmutter Project: High Performance Classical Simulation Bootstraps for Variational Quantum Algorithms
Somjit, V., Davidsson, J., Jin, Y. et al. An NV− center in magnesium oxide as a spin qubit for hybrid quantum technologies. npj Comput Mater 11, 74 (2025). doi.org/10.1038/s41524-025-01558-w
QIS@Perlmutter Project: Platforms for Quantum Information Science: Ab initio investigations of spin defects in insulating oxides and semiconductors
Victor Yu et al. Towards dislocation-driven quantum interconnects. Submitted (2025) doi.org/10.48550/arXiv.2507.12387
QIS@Perlmutter Project: Platforms for Quantum Information Science: Ab initio investigations of spin defects in insulating oxides and semiconductors
Tyagin, I., Farag, M. H., Sherbert, K., Shirali, K., Alexeev, Y., & Safro, I. (2025). QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits. arXiv [Quant-Ph]. Retrieved from arxiv.org/abs/2504.16350
QIs@Perlmutter Project: Quantum Computing for Battery Materials: Scaling the quantum circuit simulations with NVIDIA CUDA Quantum
2024
January 3, 2024 | L. Bassman Oftelie, R. Van Beeumen, D. Camps, W. A. de Jong, M. Dupont | New J. Phys. 10.1088/1367-2630/ad1a2d | doi.org/10.1088/1367-2630/ad1a2d
QIS@Perlmutter project: Simulating Boson Localization with Quantum Computers, Lindsay Bassman Oftelie, Lawrence Berkeley National Laboratory
January 17, 2024 | Nakaji K., Kristensen L. B., Campos-Gonzalez-Angulo J. A., Vakili M. G., Huang H., Bagherimehrab M., Gorgulla C., Wong F., McCaskey A., Kim J.-S., Nguyen T., Rao P., Aspuru-Guzik A. | arXiv:2401.09253 | arxiv.org/abs/2401.09253
QIS@Perlmutter project: Generative quantum eigensolver, Alan Aspuru-Guzik, University of Toronto
June 4, 2024 | Matthew DeCross, Reza Haghshenas, Minzhao Liu, Enrico Rinaldi, Johnnie Gray, Yuri Alexeev, Charles H. Baldwin, John P. Bartolotta, Matthew Bohn, Eli Chertkov, Julia Cline, Jonhas Colina, Davide DelVento, Joan M. Dreiling, Cameron Foltz, John P. Gaebler, Thomas M. Gatterman, Christopher N. Gilbreth, Joshua Giles, Dan Gresh, Alex Hall, Aaron Hankin, Azure Hansen, Nathan Hewitt, Ian Hoffman, Craig Holliman, Ross B. Hutson, Trent Jacobs, Jacob Johansen, Patricia J. Lee, Elliot Lehman, Dominic Lucchetti, Danylo Lykov, Ivaylo S. Madjarov, Brian Mathewson, Karl Mayer, Michael Mills, Pradeep Niroula, Juan M. Pino, Conrad Roman, Michael Schecter, Peter E. Siegfried, Bruce G. Tiemann, Curtis Volin, James Walker, Ruslan Shaydulin, Marco Pistoia, Steven. A. Moses, David Hayes, Brian Neyenhuis, Russell P. Stutz, Michael Foss-Feig | arXiv:2406.02501 | arxiv.org/abs/2406.02501
QIS@Perlmutter project: Simulation for Quantum Supremacy, Yuri Alexeev, Argonne National Laboratory
2024
January 3, 2024 | L. Bassman Oftelie, R. Van Beeumen, D. Camps, W. A. de Jong, M. Dupont | New J. Phys. 10.1088/1367-2630/ad1a2d | doi.org/10.1088/1367-2630/ad1a2d
QIS@Perlmutter project: Simulating Boson Localization with Quantum Computers, Lindsay Bassman Oftelie, Lawrence Berkeley National Laboratory
January 17, 2024 | Nakaji K., Kristensen L. B., Campos-Gonzalez-Angulo J. A., Vakili M. G., Huang H., Bagherimehrab M., Gorgulla C., Wong F., McCaskey A., Kim J.-S., Nguyen T., Rao P., Aspuru-Guzik A. | arXiv:2401.09253 | arxiv.org/abs/2401.09253
QIS@Perlmutter project: Generative quantum eigensolver, Alan Aspuru-Guzik, University of Toronto
June 4, 2024 | Matthew DeCross, Reza Haghshenas, Minzhao Liu, Enrico Rinaldi, Johnnie Gray, Yuri Alexeev, Charles H. Baldwin, John P. Bartolotta, Matthew Bohn, Eli Chertkov, Julia Cline, Jonhas Colina, Davide DelVento, Joan M. Dreiling, Cameron Foltz, John P. Gaebler, Thomas M. Gatterman, Christopher N. Gilbreth, Joshua Giles, Dan Gresh, Alex Hall, Aaron Hankin, Azure Hansen, Nathan Hewitt, Ian Hoffman, Craig Holliman, Ross B. Hutson, Trent Jacobs, Jacob Johansen, Patricia J. Lee, Elliot Lehman, Dominic Lucchetti, Danylo Lykov, Ivaylo S. Madjarov, Brian Mathewson, Karl Mayer, Michael Mills, Pradeep Niroula, Juan M. Pino, Conrad Roman, Michael Schecter, Peter E. Siegfried, Bruce G. Tiemann, Curtis Volin, James Walker, Ruslan Shaydulin, Marco Pistoia, Steven. A. Moses, David Hayes, Brian Neyenhuis, Russell P. Stutz, Michael Foss-Feig | arXiv:2406.02501 | arxiv.org/abs/2406.02501
QIS@Perlmutter project: Simulation for Quantum Supremacy, Yuri Alexeev, Argonne National Laboratory
2023
January 18, 2023 | G. Park, K. Zhang, K. Yu et al. | Quantum Inf Process 22, 54 | link.springer.com/article/10.1007/s11128-022-03793-2
QIS@Perlmutter project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory
February 11, 2023 | W. M. Watkins, S. Y.-C. Chen, S. Yoo | Scientific Reports volume 13, Article number: 2453 | doi.org/10.1038/s41598-022-24082-z
QIS@Perlmutter project: Quantum deep learning for HEP data analysis, Shinjae Yoo, Brookhaven National Laboratory
February 15, 2023 | B. Huang, N. Sheng, M. Govoni, G. Galli | J. Chem. Theory Comput. 2023, 19, 5, 1487–1498 | doi.org/10.1021/acs.jctc.2c01119
QIS@Perlmutter project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum information Science, Marco Govoni, Argonne National Laboratory
February 24, 2023 | M. Zheng, A. Li, T. Terlaky, X. Yang | ACM Transactions on Quantum Computing, 4(2), pp. 1-21 | dl.acm.org/doi/full/10.1145/3563397
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
February 28, 2023 | R. Van Beeumen, D. Camps, N. Mehta | arXiv:2303.00123 | doi.org/10.48550/arXiv.2303.00123
QIS@Perlmutter project: Benchmarking QCLAB++ on Perlmutter GPUs, R. Van Beeumen, Lawrence Berkeley National Laboratory
March 2, 2023 | A. Lowe, M. Medvidović, A. Hayes, L. J. O’Riordan, T. R. Bromley, J. M. Arrazola, N. Killoran | Quantum, 7, p. 934 | doi.org/10.22331/q-2023-03-02-934
QIS@Perlmutter project: Large-scale hybrid quantum tasking and simulation with PennyLane, Lee J, O’Riordan, Xanadu
March 8, 2023 | V. Ivanov, A. Ivanov, J. Simon, P. Parajuli, B. Kanté, T. Schenkel, L. Tan | arXiv:2303.16283 | arxiv.org/abs/2303.16283
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
June 7, 2023 | W. Redjem, Y. Zhiyenbayev, W. Qarony, V. Ivanov, C. Papapanos, W. Liu, K. Jhuria, Z. Y. Al Balushi, S. Dhuey, A. Schwartzberg, L. Z. Tan, T. Schenkel, B. Kanté | Nature Communications volume 14, Article number: 3321 | doi.org/10.1038/s41467-023-38559-6
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
June 17, 2023 | S. Stein, N. Wiebe, Y. Ding, J. Ang, A. Li | ISCA '23 Article No. 8 | doi.org/10.1145/3579371.3589043
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
July 26, 2023 | W. Liu, V. Ivanov, K. Jhuria, Q. Ji, A. Persaud, W. Redjem, J. Simoni, Y. Zhiyenbayev, B. Kante, J. G. Lopez, L. Z. Tan, T. Schenkel | Phys. Rev. Applied 20, 014058 | doi.org/10.1103/PhysRevApplied.20.014058
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
October 26, 2023 | A. Li, A. Baroni, I. Stetcu, T. S. Humble | arXiv:2310.17739 | doi.org/10.48550/arXiv.2310.17739
QIS@Perlmutter project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
November 12, 2023 | F. Hua, M. Wang, G. Li, B. Peng, C. Liu, M. Zheng, S. Stein, Y. Ding, E. Z. Zhang, T. Humble, A. Li | SC-W '23: Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis Pages 1468–147 | doi.org/10.1145/3624062.3624222
QIS@Perlmutter project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
November 30, 2023 | Forestano R. T., Cara M. C., Dahale G. R., Dong Z., Gleyzer S., Justice D., Kong K., Magorsch T., Matchev K. T., Matcheva K., Unlu E. B. | arXiv:2311.1867 | arxiv.org/abs/2311.18672
QIS@Perlmutter project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama
November 30, 2023 | Dong Z., Cara M. C., Dahale G. R., Forestano R. T., Gleyzer S., Justice D., Kong K., Magorsch T., Matchev K. T., Matcheva K., Unlu E. B. | arXiv:2311.18744 | arxiv.org/abs/2311.18744
QIS@Perlmutter Project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama
December 5, 2023 | Y. Zhu, V. Wenzhe Yu, G. Galli | Nano Lett. 2023, 23, 24, 11453–11460 | doi.org/10.1021/acs.nanolett.3c02880
QIS@Perlmutter project: Iterative Qubits Management in a Quantum-Classic System
February 24, 2023 | M. Zheng, A. Li, T. Terlaky, X. Yang | ACM Transactions on Quantum Computing, 4(2), pp. 1-21
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
2023
January 18, 2023 | G. Park, K. Zhang, K. Yu et al. | Quantum Inf Process 22, 54 | link.springer.com/article/10.1007/s11128-022-03793-2
QIS@Perlmutter project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory
February 11, 2023 | W. M. Watkins, S. Y.-C. Chen, S. Yoo | Scientific Reports volume 13, Article number: 2453 | doi.org/10.1038/s41598-022-24082-z
QIS@Perlmutter project: Quantum deep learning for HEP data analysis, Shinjae Yoo, Brookhaven National Laboratory
February 15, 2023 | B. Huang, N. Sheng, M. Govoni, G. Galli | J. Chem. Theory Comput. 2023, 19, 5, 1487–1498 | doi.org/10.1021/acs.jctc.2c01119
QIS@Perlmutter project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum information Science, Marco Govoni, Argonne National Laboratory
February 24, 2023 | M. Zheng, A. Li, T. Terlaky, X. Yang | ACM Transactions on Quantum Computing, 4(2), pp. 1-21 | dl.acm.org/doi/full/10.1145/3563397
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
February 28, 2023 | R. Van Beeumen, D. Camps, N. Mehta | arXiv:2303.00123 | doi.org/10.48550/arXiv.2303.00123
QIS@Perlmutter project: Benchmarking QCLAB++ on Perlmutter GPUs, R. Van Beeumen, Lawrence Berkeley National Laboratory
March 2, 2023 | A. Lowe, M. Medvidović, A. Hayes, L. J. O’Riordan, T. R. Bromley, J. M. Arrazola, N. Killoran | Quantum, 7, p. 934 | doi.org/10.22331/q-2023-03-02-934
QIS@Perlmutter project: Large-scale hybrid quantum tasking and simulation with PennyLane, Lee J, O’Riordan, Xanadu
March 8, 2023 | V. Ivanov, A. Ivanov, J. Simon, P. Parajuli, B. Kanté, T. Schenkel, L. Tan | arXiv:2303.16283 | arxiv.org/abs/2303.16283
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
June 7, 2023 | W. Redjem, Y. Zhiyenbayev, W. Qarony, V. Ivanov, C. Papapanos, W. Liu, K. Jhuria, Z. Y. Al Balushi, S. Dhuey, A. Schwartzberg, L. Z. Tan, T. Schenkel, B. Kanté | Nature Communications volume 14, Article number: 3321 | doi.org/10.1038/s41467-023-38559-6
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
June 17, 2023 | S. Stein, N. Wiebe, Y. Ding, J. Ang, A. Li | ISCA '23 Article No. 8 | doi.org/10.1145/3579371.3589043
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
July 26, 2023 | W. Liu, V. Ivanov, K. Jhuria, Q. Ji, A. Persaud, W. Redjem, J. Simoni, Y. Zhiyenbayev, B. Kante, J. G. Lopez, L. Z. Tan, T. Schenkel | Phys. Rev. Applied 20, 014058 | doi.org/10.1103/PhysRevApplied.20.014058
QIS@Perlmutter project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory
October 26, 2023 | A. Li, A. Baroni, I. Stetcu, T. S. Humble | arXiv:2310.17739 | doi.org/10.48550/arXiv.2310.17739
QIS@Perlmutter project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
November 12, 2023 | F. Hua, M. Wang, G. Li, B. Peng, C. Liu, M. Zheng, S. Stein, Y. Ding, E. Z. Zhang, T. Humble, A. Li | SC-W '23: Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis Pages 1468–147 | doi.org/10.1145/3624062.3624222
QIS@Perlmutter project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
November 30, 2023 | Forestano R. T., Cara M. C., Dahale G. R., Dong Z., Gleyzer S., Justice D., Kong K., Magorsch T., Matchev K. T., Matcheva K., Unlu E. B. | arXiv:2311.1867 | arxiv.org/abs/2311.18672
QIS@Perlmutter project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama
November 30, 2023 | Dong Z., Cara M. C., Dahale G. R., Forestano R. T., Gleyzer S., Justice D., Kong K., Magorsch T., Matchev K. T., Matcheva K., Unlu E. B. | arXiv:2311.18744 | arxiv.org/abs/2311.18744
QIS@Perlmutter Project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama
December 5, 2023 | Y. Zhu, V. Wenzhe Yu, G. Galli | Nano Lett. 2023, 23, 24, 11453–11460 | doi.org/10.1021/acs.nanolett.3c02880
QIS@Perlmutter project: Iterative Qubits Management in a Quantum-Classic System
February 24, 2023 | M. Zheng, A. Li, T. Terlaky, X. Yang | ACM Transactions on Quantum Computing, 4(2), pp. 1-21
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
2022
June 1, 2022 | N. Sheng, C. Vorwerk, M. Govoni, G. Galli | J. Chem. Theory Comput. 2022, 18, 6, 3512–3522
QIS@Perlmutter Project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum Information Science, Marco Govoni, Argonne National Laboratory
August 22, 2022 | M. Dupont, N. Didier, M. J. Hodson, J. E. Moore, M. J. Reagor | Phys. Rev. A 106, 022423
QIS@Perlmutter project:The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti
September 27, 2022 | K. Zhang, K. Yu, V. Korepin | EPL 140 18002
QIS@Perlmutter Project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory
October 18, 2022 | D. Bhoumik, R. Majumdar, D. Madan, D. Vinayagamurthy, S. Raghunathan, S. Sur-Kolay | arXiv:2210.09730
QIS@Perlmutter project: Divide and Conquer Approach to Machine Learning Based Decoders for the Surface Code, Ritajit Majumdar, Indian Statistical Institute
December 13, 2022 | M. Dupont, N. Didier, M. J. Hodson, J. E. Moore, M. J. Reagor | PRX Quantum 3, 040339
QIS@Perlmutter project: The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti
2022 | S. Stein, Y. Mao, J. Ang, A. Li | 2022 IEEE/ACM 7th Symposium on Edge Computing
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory
2022
June 1, 2022 | N. Sheng, C. Vorwerk, M. Govoni, G. Galli | J. Chem. Theory Comput. 2022, 18, 6, 3512–3522
QIS@Perlmutter Project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum Information Science, Marco Govoni, Argonne National Laboratory
August 22, 2022 | M. Dupont, N. Didier, M. J. Hodson, J. E. Moore, M. J. Reagor | Phys. Rev. A 106, 022423
QIS@Perlmutter project:The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti
September 27, 2022 | K. Zhang, K. Yu, V. Korepin | EPL 140 18002
QIS@Perlmutter Project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory
October 18, 2022 | D. Bhoumik, R. Majumdar, D. Madan, D. Vinayagamurthy, S. Raghunathan, S. Sur-Kolay | arXiv:2210.09730
QIS@Perlmutter project: Divide and Conquer Approach to Machine Learning Based Decoders for the Surface Code, Ritajit Majumdar, Indian Statistical Institute
December 13, 2022 | M. Dupont, N. Didier, M. J. Hodson, J. E. Moore, M. J. Reagor | PRX Quantum 3, 040339
QIS@Perlmutter project: The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti
2022 | S. Stein, Y. Mao, J. Ang, A. Li | 2022 IEEE/ACM 7th Symposium on Edge Computing
QIS@Perlmutter project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory