A Conceptual Architecture for a Quantum-HPC Middleware

Jha, Shantenu; Saurabh, Nishant; Luckow, Andre

doi:10.1109/QSW59989.2023.00023

A Conceptual Architecture for a Quantum-HPC Middleware

Conference · Sun Jul 02 04:00:00 EDT 2023

DOI:https://doi.org/10.1109/QSW59989.2023.00023· OSTI ID:2204147

Jha, Shantenu; Saurabh, Nishant; Luckow, Andre

Abstract-Quantum computing promises potential for science and industry by solving certain computationally complex problems faster than classical computers. Quantum computing systems evolved from coupled to classical computing nodes (HPC). With the increasing monolithic systems towards modular architectures comprising multiple quantum processing units (QPUs) scale, middleware systems that facilitate the efficient coupling of quantum-classical computing are becoming critical. Through an in-depth analysis of quantum applications, integration patterns and systems, we identified a gap in understanding Quantum HPC middleware systems. We present a conceptual middleware to facilitate reasoning about quantum-classical integration and serve as the basis for a future middleware system. An essential contribution of this paper lies in leveraging well-established high performance computing abstractions for managing workloads, tasks, and resources to integrate quantum computing into HPC systems seamlessly

View Conference

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (SC-21)

DOE Contract Number:: SC0012704

OSTI ID:: 2204147

Report Number(s):: BNL-224922-2023-COPA

Country of Publication:: United States

Language:: English

References (66)

Parallel evaluation of quantum algorithms for computational fluid dynamics Steijl, René; Barakos, George N. Computers & Fluids, Vol. 173 https://doi.org/10.1016/j.compfluid.2018.03.080	journal	September 2018
Adiabatic Spectroscopy and a Variational Quantum Adiabatic Algorithm Schiffer, Benjamin F.; Tura, Jordi; Cirac, J. Ignacio PRX Quantum, Vol. 3, Issue 2 https://doi.org/10.1103/PRXQuantum.3.020347	journal	June 2022
Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems Rossmannek, Max; Barkoutsos, Panagiotis Kl.; Ollitrault, Pauline J. The Journal of Chemical Physics, Vol. 154, Issue 11 https://doi.org/10.1063/5.0029536	journal	March 2021
Application-level scheduling on distributed heterogeneous networks Berman, Francine D.; Wolski, Rich; Figueira, Silvia Proceedings of the 1996 ACM/IEEE conference on Supercomputing https://doi.org/10.1145/369028.369109	conference	November 1996
Towards Practical Classical Processing for the Surface Code Fowler, Austin G.; Whiteside, Adam C.; Hollenberg, Lloyd C. L. Physical Review Letters, Vol. 108, Issue 18 https://doi.org/10.1103/PhysRevLett.108.180501	journal	May 2012
Simulating physics with computers Feynman, Richard P. International Journal of Theoretical Physics, Vol. 21, Issue 6-7 https://doi.org/10.1007/BF02650179	journal	June 1982
The future of quantum computing with superconducting qubits Bravyi, Sergey; Dial, Oliver; Gambetta, Jay M. Journal of Applied Physics, Vol. 132, Issue 16 https://doi.org/10.1063/5.0082975	journal	October 2022
AI for Quantum Mechanics: High Performance Quantum Many-Body Simulations via Deep Learning Zhao, Xuncheng; Li, Mingfan; Xiao, Qian SC22: International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC41404.2022.00053	conference	November 2022
Quantum Computers for High-Performance Computing Humble, Travis S.; McCaskey, Alexander; Lyakh, Dmitry I. IEEE Micro, Vol. 41, Issue 5 https://doi.org/10.1109/MM.2021.3099140	journal	September 2021
Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis Bian, Zhengbing; Chudak, Fabian; Israel, Robert Brian Frontiers in ICT, Vol. 3 https://doi.org/10.3389/fict.2016.00014	journal	July 2016
Solving Burgers’ equation with quantum computing Oz, Furkan; Vuppala, Rohit K. S. S.; Kara, Kursat Quantum Information Processing, Vol. 21, Issue 1 https://doi.org/10.1007/s11128-021-03391-8	journal	December 2021
Quantum Algorithm for Linear Systems of Equations Harrow, Aram W.; Hassidim, Avinatan; Lloyd, Seth Physical Review Letters, Vol. 103, Issue 15 https://doi.org/10.1103/PhysRevLett.103.150502	journal	October 2009
Solving nonlinear differential equations with differentiable quantum circuits Kyriienko, Oleksandr; Paine, Annie E.; Elfving, Vincent E. Physical Review A, Vol. 103, Issue 5 https://doi.org/10.1103/PhysRevA.103.052416	journal	May 2021
Simulating Large Quantum Circuits on a Small Quantum Computer Peng, Tianyi; Harrow, Aram W.; Ozols, Maris Physical Review Letters, Vol. 125, Issue 15 https://doi.org/10.1103/PhysRevLett.125.150504	journal	October 2020
XACC: a system-level software infrastructure for heterogeneous quantum–classical computing McCaskey, Alexander J.; Lyakh, Dmitry I.; Dumitrescu, Eugene F. Quantum Science and Technology, Vol. 5, Issue 2 https://doi.org/10.1088/2058-9565/ab6bf6	journal	February 2020
Industry quantum computing applications No authors listed EPJ Quantum Technology, Vol. 8, Issue 1 https://doi.org/10.1140/epjqt/s40507-021-00114-x	journal	November 2021
Warm-starting quantum optimization Egger, Daniel J.; Mareček, Jakub; Woerner, Stefan Quantum, Vol. 5 https://doi.org/10.22331/q-2021-06-17-479	journal	June 2021
Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models Perdomo, Alejandro; Truncik, Colin; Tubert-Brohman, Ivan Physical Review A, Vol. 78, Issue 1 https://doi.org/10.1103/PhysRevA.78.012320	journal	July 2008
Variational quantum algorithms Cerezo, M.; Arrasmith, Andrew; Babbush, Ryan Nature Reviews Physics, Vol. 3, Issue 9 https://doi.org/10.1038/s42254-021-00348-9	journal	August 2021
Quantum speedup of Monte Carlo methods Montanaro, Ashley Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 471, Issue 2181 https://doi.org/10.1098/rspa.2015.0301	journal	September 2015
Potential of quantum computing for drug discovery Cao, Y.; Romero, J.; Aspuru-Guzik, A. IBM Journal of Research and Development, Vol. 62, Issue 6 https://doi.org/10.1147/JRD.2018.2888987	journal	November 2018
Middleware Building Blocks for Workflow Systems Turilli, Matteo; Balasubramanian, Vivek; Merzky, Andre Computing in Science & Engineering, Vol. 21, Issue 4 https://doi.org/10.1109/MCSE.2019.2920048	journal	July 2019
QUARK: A Framework for Quantum Computing Application Benchmarking Finzgar, Jernej Rudi; Ross, Philipp; Holscher, Leonhard 2022 IEEE International Conference on Quantum Computing and Engineering (QCE) https://doi.org/10.1109/QCE53715.2022.00042	conference	September 2022
Performance analysis and optimization of a CCHP-GSHP coupling system based on quantum genetic algorithm Li, Bolun; Hu, Pingfang; Zhu, Na Sustainable Cities and Society, Vol. 46 https://doi.org/10.1016/j.scs.2018.12.036	journal	April 2019
Physics-informed machine learning Karniadakis, George Em; Kevrekidis, Ioannis G.; Lu, Lu Nature Reviews Physics, Vol. 3, Issue 6 https://doi.org/10.1038/s42254-021-00314-5	journal	May 2021
Quantum Chemistry in the Age of Quantum Computing Cao, Yudong; Romero, Jonathan; Olson, Jonathan P. Chemical Reviews, Vol. 119, Issue 19 https://doi.org/10.1021/acs.chemrev.8b00803	journal	August 2019
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Cheng, Song; Chen, Jing; Wang, Lei Entropy, Vol. 20, Issue 8 https://doi.org/10.3390/e20080583	journal	August 2018
Quantum Software Development Lifecycle Weder, Benjamin; Barzen, Johanna; Leymann, Frank Quantum Software Engineering https://doi.org/10.1007/978-3-031-05324-5_4	book	January 2022
Quantum generative adversarial networks Dallaire-Demers, Pierre-Luc; Killoran, Nathan Physical Review A, Vol. 98, Issue 1 https://doi.org/10.1103/PhysRevA.98.012324	journal	July 2018
P∗: A model of pilot-abstractions Luckow, Andre; Santcroos, Mark; Merzky, Andre 2012 IEEE 8th International Conference on E-Science https://doi.org/10.1109/eScience.2012.6404423	conference	October 2012
Machine Learning with Quantum Computers Schuld, Maria; Petruccione, Francesco Quantum Science and Technology https://doi.org/10.1007/978-3-030-83098-4	book	January 2021
Integrating Quantum Computing into Workflow Modeling and Execution Weder, Benjamin; Breitenbucher, Uwe; Leymann, Frank 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC) https://doi.org/10.1109/UCC48980.2020.00046	conference	December 2020
A fast quantum mechanical algorithm for database search Grover, Lov K. Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96 https://doi.org/10.1145/237814.237866	conference	January 1996
An Advanced Quantum Optimization Algorithm for Robot Path Planning Gao, Liming; Liu, Rong; Wang, Fei Journal of Circuits, Systems and Computers, Vol. 29, Issue 08 https://doi.org/10.1142/S0218126620501224	journal	December 2019
Style-based quantum generative adversarial networks for Monte Carlo events Bravo-Prieto, Carlos; Baglio, Julien; Cè, Marco Quantum, Vol. 6 https://doi.org/10.22331/q-2022-08-17-777	journal	August 2022
Quantum compiling by deep reinforcement learning Moro, Lorenzo; Paris, Matteo G. A.; Restelli, Marcello Communications Physics, Vol. 4, Issue 1 https://doi.org/10.1038/s42005-021-00684-3	journal	August 2021
Neural network accelerator for quantum control Xu, David; Ozguler, A. Barls; Di Guglielmo, Giuseppe 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS) https://doi.org/10.1109/QCS56647.2022.00010	conference	November 2022
Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction Vincent, Trevor; O'Riordan, Lee J.; Andrenkov, Mikhail Quantum, Vol. 6 https://doi.org/10.22331/q-2022-05-09-709	journal	May 2022
Quantum Computing Techniques for Multi-knapsack Problems Awasthi, Abhishek; Bär, Francesco; Doetsch, Joseph Lecture Notes in Networks and Systems https://doi.org/10.1007/978-3-031-37963-5_19	book	January 2023
Exploiting Dynamic Quantum Circuits in a Quantum Algorithm with Superconducting Qubits Córcoles, A. D.; Takita, Maika; Inoue, Ken Physical Review Letters, Vol. 127, Issue 10 https://doi.org/10.1103/PhysRevLett.127.100501	journal	August 2021
Unbiasing fermionic quantum Monte Carlo with a quantum computer Huggins, William J.; O’Gorman, Bryan A.; Rubin, Nicholas C. Nature, Vol. 603, Issue 7901 https://doi.org/10.1038/s41586-021-04351-z	journal	March 2022
Quantum convolutional neural networks Cong, Iris; Choi, Soonwon; Lukin, Mikhail D. Nature Physics, Vol. 15, Issue 12 https://doi.org/10.1038/s41567-019-0648-8	journal	August 2019
Inverse design of 3d molecular structures with conditional generative neural networks Gebauer, Niklas W. A.; Gastegger, Michael; Hessmann, Stefaan S. P. Nature Communications, Vol. 13, Issue 1 https://doi.org/10.1038/s41467-022-28526-y	journal	February 2022
A language and hardware independent approach to quantum–classical computing McCaskey, A. J.; Dumitrescu, E. F.; Liakh, D. SoftwareX, Vol. 7 https://doi.org/10.1016/j.softx.2018.07.007	journal	January 2018
Quantum Software Components and Platforms: Overview and Quality Assessment Serrano, Manuel A.; Cruz-Lemus, José A.; Perez-Castillo, Ricardo ACM Computing Surveys, Vol. 55, Issue 8 https://doi.org/10.1145/3548679	journal	December 2022
The power of quantum neural networks Abbas, Amira; Sutter, David; Zoufal, Christa Nature Computational Science, Vol. 1, Issue 6 https://doi.org/10.1038/s43588-021-00084-1	journal	June 2021
A Cost-Efficient Approach towards Computational Fluid Dynamics Simulations on Quantum Devices Jóczik, Szabolcs; Zimborás, Zoltán; Majoros, Tamás Applied Sciences, Vol. 12, Issue 6 https://doi.org/10.3390/app12062873	journal	March 2022
Obstacles to Variational Quantum Optimization from Symmetry Protection Bravyi, Sergey; Kliesch, Alexander; Koenig, Robert Physical Review Letters, Vol. 125, Issue 26 https://doi.org/10.1103/PhysRevLett.125.260505	journal	December 2020
Quantum Algorithms for Quantum Chemistry and Quantum Materials Science Bauer, Bela; Bravyi, Sergey; Motta, Mario Chemical Reviews, Vol. 120, Issue 22 https://doi.org/10.1021/acs.chemrev.9b00829	journal	October 2020
Variational ansatz-based quantum simulation of imaginary time evolution McArdle, Sam; Jones, Tyson; Endo, Suguru npj Quantum Information, Vol. 5, Issue 1 https://doi.org/10.1038/s41534-019-0187-2	journal	September 2019
Quantum Approximation for Wireless Scheduling Choi, Jaeho; Oh, Seunghyeok; Kim, Joongheon Applied Sciences, Vol. 10, Issue 20 https://doi.org/10.3390/app10207116	journal	October 2020
Intel Quantum Simulator: a cloud-ready high-performance simulator of quantum circuits Guerreschi, Gian Giacomo; Hogaboam, Justin; Baruffa, Fabio Quantum Science and Technology, Vol. 5, Issue 3 https://doi.org/10.1088/2058-9565/ab8505	journal	May 2020
Quantum annealing learning search for solving QUBO problems Pastorello, Davide; Blanzieri, Enrico Quantum Information Processing, Vol. 18, Issue 10 https://doi.org/10.1007/s11128-019-2418-z	journal	August 2019
A variational eigenvalue solver on a photonic quantum processor Peruzzo, Alberto; McClean, Jarrod; Shadbolt, Peter Nature Communications, Vol. 5, Issue 1 https://doi.org/10.1038/ncomms5213	journal	July 2014
Fully quantum mechanical energy optimization for protein–ligand structure Xiang, Yun; Zhang, Da W.; Zhang, John Z. H. Journal of Computational Chemistry, Vol. 25, Issue 12 https://doi.org/10.1002/jcc.20069	journal	June 2004
Approximating quantum many-body wave functions using artificial neural networks Cai, Zi; Liu, Jinguo Physical Review B, Vol. 97, Issue 3 https://doi.org/10.1103/PhysRevB.97.035116	journal	January 2018
Quandary: An open-source C++ package for high-performance optimal control of open quantum systems Gunther, Stefanie; Petersson, N. Anders; DuBois, Jonathan L. 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS) https://doi.org/10.1109/QCS54837.2021.00014	conference	November 2021
A Comprehensive Perspective on Pilot-Job Systems Turilli, Matteo; Santcroos, Mark; Jha, Shantenu ACM Computing Surveys, Vol. 51, Issue 2 https://doi.org/10.1145/3177851	journal	April 2018
Universal Quantum Simulators Lloyd, S. Science, Vol. 273, Issue 5278 https://doi.org/10.1126/science.273.5278.1073	journal	August 1996
An introduction to quantum machine learning Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco Contemporary Physics, Vol. 56, Issue 2 https://doi.org/10.1080/00107514.2014.964942	journal	October 2014
Accelerating HPC With Quantum Computing: It Is a Software Challenge Too Schulz, Martin; Ruefenacht, Martin; Kranzlmuller, Dieter Computing in Science & Engineering, Vol. 24, Issue 4 https://doi.org/10.1109/MCSE.2022.3221845	journal	July 2022
Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems Cranganore, Sandeep Suresh; De Maio, Vincenzo; Brandic, Ivona 2022 IEEE 18th International Conference on e-Science (e-Science) https://doi.org/10.1109/eScience55777.2022.00048	conference	October 2022
Tierkreis: a Dataflow Framework for Hybrid Quantum-Classical Computing Sivarajah, Seyon; Heidemann, Lukas; Lawrence, Alan 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS) https://doi.org/10.1109/QCS56647.2022.00007	conference	November 2022
Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond Callison, Adam; Chancellor, Nicholas Physical Review A, Vol. 106, Issue 1 https://doi.org/10.1103/PhysRevA.106.010101	journal	July 2022
Quantum Machine Learning for hep Detector Simulations Rehm, F.; Vallecorsa, S.; Borras, K. 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" https://doi.org/10.54546/MLIT.2021.62.94.001	conference	December 2021
A generative modeling approach for benchmarking and training shallow quantum circuits Benedetti, Marcello; Garcia-Pintos, Delfina; Perdomo, Oscar npj Quantum Information, Vol. 5, Issue 1 https://doi.org/10.1038/s41534-019-0157-8	journal	May 2019

Similar Records

Middleware in Modern High Performance Computing System Architectures

Conference · Sun Dec 31 23:00:00 EST 2006 · OSTI ID:978743

Bridging paradigms: Designing for HPC-Quantum convergence

Journal Article · Sat Jun 28 00:00:00 EDT 2025 · Future Generations Computer Systems · OSTI ID:2573328

Towards understanding HPC users and systems: A NERSC case study

Journal Article · Thu Sep 14 00:00:00 EDT 2017 · Journal of Parallel and Distributed Computing · OSTI ID:1439236

Related Subjects

97 MATHEMATICS AND COMPUTING

A Conceptual Architecture for a Quantum-HPC Middleware

Citation Formats

References (66)

Similar Records

Related Subjects