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Quantum Computing (QC) describes a new way of computing based on the principles of quantum mechanics. From a High Performance Computing (HPC) perspective, QC needs to be integrated:
\n\nThe White Paper QC for HPC focuses on the technology integration of QC in HPC clusters, gives an overview of the full hardware-software stack and QC emulators, and highlights promising customised QC algorithms for near-term quantum computers and its impact on HPC applications. In addition to universal quantum computers, we will describe non-universal QC where appropriate. Recent research references will be used to cover the basic concepts. Thetarget audience of this paper is the European HPC community: members of HPC centres, HPC algorithm developers, scientists interested in the co-design for quantum hardware, benchmarking, etc.
", "publication_date": "2021-10-08", "publisher": "Zenodo", "references": [ { "reference": "Anguita, Davide, Sandro Ridella, Fabio Rivieccio, and Rodolfo Zunino. 2003. \"Quantum optimization for training support vector machines.\" Neural Networks 16 (5-6): 763-770. doi:https://doi.org/10.1016/S0893-6080(03)00087-X." }, { "reference": "Anschuetz, Eric R., Jonathan P. Olson, Al\u00e1n Aspuru-Guzik, and Yudong Cao. 2018. \"Variational Quantum Factoring.\" https://arxiv.org/abs/1808.08927." }, { "reference": "Atos. n.d. \"Q-Score: measure what truly matters.\" Accessed 2021. https://atos.net/en/solutions/q-score." }, { "reference": "Bichsel, Benjamin, Maximilian Baader, and Timon Gehr. 2020. \"Silq: a high-level quantum language with safe uncomputation and intuitive semantics.\" PLDI 2020: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation. 286-300. doi:https://doi.org/10.1145/3385412.3386007." }, { "reference": "Bitkom. n.d. \"Bitkom-\u00dcbersicht Deutsches Quanten-\u00d6kosystem v1.1.\" Accessed 2021. https://www.bitkom.org/sites/default/files/2021-03/deutsches_quanten-okosystem_v1.1_public.pdf." }, { "reference": "Bobier, Jean-Fran\u00e7ois, Matt Langione, Edward Tao, and Antoine Gour\u00e9vitch. 2021. \"What Happens When 'If' Turns to 'When' in Quantum Computing?\" BCG. 21 07. https://www.bcg.com/fr-fr/publications/2021/building-quantum-advantage." }, { "reference": "Bravo-Prieto, Carlos, Ryan LaRose, M. Cerezo, Yigit Subasi, Lukasz Cincio, and Patrick J. Coles. 2020. \"Variational Quantum Linear Solver.\" https://arxiv.org/abs/1909.05820." }, { "reference": "Britt, Keith A., and Travis S. Humble. 2017. \"High-Performance Computing with Quantum Processing Units.\" ACM Journal on Emerging Technologies in Computing Systems 13 (3): 1-13. doi:https://doi.org/10.1145/3007651." }, { "reference": "CEA LETI. n.d. \"Five advantages of silicon spin.\" Accessed 2021. https://www.leti-cea.com/cea-tech/leti/english/Pages/Applied-Research/Strategic-Axes/Quantum-Computing/Fundamental-Advantage-of-Silicon-Spin/Five-advantages-of-silicon-spin.aspx." }, { "reference": "Classiq. n.d. https://www.classiq.io/." }, { "reference": "Dalyac, Constantin, Lo\u00efc Henriet, Emmanuel Jeandel, Wolfgang Lechner, Simon Perdrix, Marc Porcheron, and Margarita Veshchezerova. 2021. \"Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles.\" EPJ Quantum Technlogy 8: 12. doi:https://doi.org/10.1140/epjqt/s40507-021-00100-3." }, { "reference": "Deutsch, David. 1985. \"Quantum theory, the Church\u2013Turing principle and the universal quantum computer.\" Proceedings of the Royal Society A (Royal Society) 400 (1818). doi:https://doi.org/10.1098/rspa.1985.0070." }, { "reference": "Devoret, M H, A Wallraff, and J M Martinis. 2004. \"Superconducting Qubits: A Short Review.\" https://arxiv.org/abs/cond-mat/0411174." }, { "reference": "Farhi, Edward, and Hartmut Neven. 2018. \"Classification with Quantum Neural Networks on Near Term Processors.\" https://arxiv.org/abs/1802.06002." }, { "reference": "Farhi, Edward, Jeffrey Goldstone, and Sam Gutmann. 2014. \"A Quantum Approximate Optimization Algorithm.\" https://arxiv.org/abs/1411.4028." }, { "reference": "Google Quantum AI. n.d. \"Cirq.\" Accessed 2021. https://quantumai.google/cirq." }, { "reference": "Grant, Erica, Travis S. Humble, and Benjamin Stump. 2021. \"Benchmarking Quantum Annealing Controls with Portfolio Optimization.\" Physical Review Applied 15 (1): 014012. doi:https://doi.org/10.1103/PhysRevApplied.15.014012. H\u00e4ffner, H., C.F. Roos, and R. Blatt. 2008. \"Quantum computing with trapped ions.\" Physics Reports (Elsevier) 469 (4): 155-203. doi:https://doi.org/10.1016/j.physrep.2008.09.003." }, { "reference": "H\u00e4ffner, H., C.F. Roos, and R. Blatt. 2008. \"Quantum computing with trapped ions.\" Physics Reports (Elsevier) 469 (4): 155-203. doi:https://doi.org/10.1016/j.physrep.2008.09.003." }, { "reference": "Henriet, Lo\u00efc, Lucas Beguin, Adrien Signoles, Thierry Lahaye, Antoine Browaeys, Georges-Olivier Reymond, and Christophe Jurczak. 2020. \"Quantum computing with neutral atoms.\" Quantum 4: 327. doi:https://doi.org/10.22331/q-2020-09-21-327." }, { "reference": "IBM. n.d. \"IBM's roadmap for scaling quantum technology.\" Accessed 2021. https://research.ibm.com/blog/ibm-quantum-roadmap." }, { "reference": "Kitaev, A. Yu. 1995. \"Quantum measurements and the Abelian Stabilizer Problem.\" Electronic Colloquium on Computational Complexity (ECCC). https://arxiv.org/abs/quant-ph/9511026." }, { "reference": "Kurek, Michel. 2020. \"Technologies quantiques: vers la seconde r\u00e9volution.\" https://www.researchgate.net/publication/350521248_TECHNOLOGIES_QUANTIQUES_VERS_LA_SECONDE_REVOLUTION." }, { "reference": "Lloyd, Seth, Masoud Mohseni, and Patrick Rebentrost. 2013. \"Quantum algorithms for supervised and unsupervised machine learning.\" https://arxiv.org/abs/1307.0411." }, { "reference": "Lucas, Andrew. 2014. \"Ising formulations of many NP problems.\" Frontiers in Physics 2: 5. doi:https://doi.org/10.3389/fphy.2014.00005." }, { "reference": "Martiel, Simon, Thomas Ayral, and Cyril Allouche. 2021. \"Benchmarking Quantum Coprocessors in an Application-Centric, Hardware-Agnostic, and Scalable Way.\" IEEE Transactions on Quantum Engineering 2. doi:https://doi.org/10.1109/TQE.2021.3090207." }, { "reference": "Peruzzo, Alberto, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Al\u00e1n Aspuru-Guzik, and Jeremy L. O'Brien. 2014. \"A variational eigenvalue solver on a photonic quantum processor.\" Nature Communications 5: 4213. doi:https://doi.org/10.1038/ncomms5213." }, { "reference": "Pulser. n.d. Accessed 2021. https://pulser.readthedocs.io." }, { "reference": "Qiskit. n.d. Accessed 2021. https://qiskit.org/." }, { "reference": "Quantum Computing Report. n.d. \"Players.\" Accessed 2021. https://quantumcomputingreport.com/players/." }, { "reference": "Sarkar, Aritra, Zaid Al-Ars, and Koen Bertels. 2021. \"QuASeR: Quantum Accelerated de novo DNA sequence reconstruction.\" PLoS ONE 16 (4). doi:https://doi.org/10.1371/journal.pone.0249850." }, { "reference": "Veldhorst, M., H. G. J. Eenink, C. H. Yang, and A. S. Dzurak. 2017. \"Silicon CMOS architecture for a spin-based quantum computer.\" Nature Communications 8: 1766. doi:https://doi.org/10.1038/s41467-017-01905-6." }, { "reference": "Wang, Chi, Huo Chen, and Edmond Jonckheere. 2016. \"Quantum versus simulated annealing in wireless interference network optimization.\" Scientific Reports 6: 25797. doi:https://doi.org/10.1038/srep25797." } ], "resource_type": { "id": "publication-report", "title": { "de": "Bericht", "en": "Report" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "< QC | HPC >: Quantum for HPC" }, "parent": { "access": { "owned_by": { "user": 190724 } }, "communities": { "default": "fb698fd9-8513-45a8-8906-8fe0f3789f97", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-02-26T16:16:20.202405+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "fb698fd9-8513-45a8-8906-8fe0f3789f97", "links": {}, "metadata": { "description": "ETP4HPC \u2013 the European Technology Platform for High-Performance Computing - is a private, industry-led and non-profit association. Our main mission is to promote European HPC research and innovation. We are a private member of the EuroHPC JU.", "page": "ETP4HPC – the European Technology Platform (ETP) for High-Performance Computing (HPC) - is a private, industry-led and non-profit association. Our main mission is to promote European HPC research and innovation in order to maximise the economic and societal benefit of HPC for European science, industry and citizens. Our main task is to propose research priorities and programme contents in the area of HPC technology and usage, by issuing a Strategic Research Agenda (SRA). This SRA is used by the EuroHPC Joint Undertaking (JU) to define the contents of the HPC Technology Work Programmes.
\n\nWe are a private member of the EuroHPC JU that provides mechanisms and resources to develop globally competitive European HPC systems, technology and application expertise, and have several representatives in their Research and Innovation Advisory Group (RIAG).
\n\nOur members have diverse profiles, from HPC technology players active in Europe to HPC users: vendors - both large industrial companies and small SMEs, academic HPC research organisations and industrial HPC users. ETP4HPC is open to new members sharing its vision and objectives.
\n\nThis is a collection of the documents we publish in the course of our work on research priorities for European HPC technology and usage.
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