Middleware for Quantum: An orchestration of hybrid quantum-classical systems

被引:8
作者
Faro, Ismael [1 ]
Sitdikov, Iskandar [1 ]
Valinas, David Garcia [1 ]
Fernandez, Francisco Jose Martin [1 ]
Codella, Christopher [1 ]
Glick, Jennifer [1 ]
机构
[1] IBM Quantum, IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
来源
2023 IEEE INTERNATIONAL CONFERENCE ON QUANTUM SOFTWARE, QSW | 2023年
关键词
quantum computing; heterogeneous compute; orchestration; open-source software; ARCHITECTURE; STATE;
D O I
10.1109/QSW59989.2023.00011
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Quantum computing has the potential to revolutionize the way we solve complex problems in various fields. Its unique features, such as superposition and entanglement, allow for speedup in certain computations compared to classical computers. In this paper, we show that incorporating quantum computing into a heterogeneous computation architecture is possible and potentially can greatly enhance the overall performance and efficiency of solving a wide range of problems. We propose a heterogeneous computation architecture that integrates quantum computing and classical computing. We describe how this architecture can be implemented using widely available open-source software and provide a reference implementation. We also discuss potential benefits and challenges. Our goal is to highlight the importance of seamless inclusion of quantum computing in the future of computation and how it can be achieved with tools we already have.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 29 条
[1]  
Aleksandrowicz G., 2019, Qiskit: An open-source framework for quantum computing
[2]  
Altaisky M., 2001, arXiv, DOI DOI 10.48550/ARXIV.QUANT-PH/0107012
[3]  
[Anonymous], Kubernetes: open-source system for automating deployment, scaling, and management of containerized applications
[4]  
[Anonymous], OpenTelemetry: An Observability Framework for Cloud-Native Software
[5]  
Apache Software Foundation, 2019, Arrow. A cross-language development platform for in-memory data
[6]   Toward an architecture for quantum programming [J].
Bettelli, S ;
Calarco, T ;
Serafini, L .
EUROPEAN PHYSICAL JOURNAL D, 2003, 25 (02) :181-200
[7]  
Brenner L., 2023, arXiv, DOI 10.48550/arXiv.2302.03366
[8]   State-of-the-art in heterogeneous computing [J].
Brodtkorb, Andre R. ;
Dyken, Christopher ;
Hagen, Trond R. ;
Hjelmervik, Jon M. ;
Storaasli, Olaf O. .
SCIENTIFIC PROGRAMMING, 2010, 18 (01) :1-33
[9]   Doubling the Size of Quantum Simulators by Entanglement Forging [J].
Eddins, Andrew ;
Motta, Mario ;
Gujarati, Tanvi P. ;
Bravyi, Sergey ;
Mezzacapo, Antonio ;
Hadfield, Charles ;
Sheldon, Sarah .
PRX QUANTUM, 2022, 3 (01)
[10]   A software methodology for compiling quantum programs [J].
Haener, Thomas ;
Steiger, Damian S. ;
Svore, Krysta ;
Troyer, Matthias .
QUANTUM SCIENCE AND TECHNOLOGY, 2018, 3 (02)