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Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms
<!--HTML-->Variational algorithms are among the most promising near-term applications of quantum computers. Their execution is particularly challenging for current quantum computing systems since they require a tight interaction between the host CPU and the quantum accelerator. Here we present...
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Lenguaje: | eng |
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2022
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Acceso en línea: | http://cds.cern.ch/record/2839840 |
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author | Guerreschi, Gian Giacomo |
author_facet | Guerreschi, Gian Giacomo |
author_sort | Guerreschi, Gian Giacomo |
collection | CERN |
description | <!--HTML-->Variational algorithms are among the most promising near-term applications of quantum computers. Their execution is particularly challenging for current quantum computing systems since they require a tight interaction between the host CPU and the quantum accelerator. Here we present Intel Quantum SDK, an LLVM-based C++ compiler toolchain to efficiently compile and execute variational algorithms. Using our extension to the C++ language, the user can write programs describing both the quantum and classical parts of the algorithm. The classical and quantum parts of the C++ source are then compiled by the LLVM framework and by a novel quantum device compiler component, respectively. The runtime is augmented with the capability of executing quantum circuits dynamically, meaning that the values of the circuit's parameters can be changed without triggering the recompilation of the quantum part. We briefly describe how to gain access to the Intel Quantum SDK and get started with hybrid quantum-classical workloads. |
id | cern-2839840 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28398402022-11-08T22:14:31Zhttp://cds.cern.ch/record/2839840engGuerreschi, Gian GiacomoIntel Quantum SDK: A Platform for Efficient Execution of Variational AlgorithmsInternational Conference on Quantum Technologies for High-Energy Physics (QT4HEP22)QTI other events or meetings<!--HTML-->Variational algorithms are among the most promising near-term applications of quantum computers. Their execution is particularly challenging for current quantum computing systems since they require a tight interaction between the host CPU and the quantum accelerator. Here we present Intel Quantum SDK, an LLVM-based C++ compiler toolchain to efficiently compile and execute variational algorithms. Using our extension to the C++ language, the user can write programs describing both the quantum and classical parts of the algorithm. The classical and quantum parts of the C++ source are then compiled by the LLVM framework and by a novel quantum device compiler component, respectively. The runtime is augmented with the capability of executing quantum circuits dynamically, meaning that the values of the circuit's parameters can be changed without triggering the recompilation of the quantum part. We briefly describe how to gain access to the Intel Quantum SDK and get started with hybrid quantum-classical workloads.oai:cds.cern.ch:28398402022 |
spellingShingle | QTI other events or meetings Guerreschi, Gian Giacomo Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title | Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title_full | Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title_fullStr | Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title_full_unstemmed | Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title_short | Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms |
title_sort | intel quantum sdk: a platform for efficient execution of variational algorithms |
topic | QTI other events or meetings |
url | http://cds.cern.ch/record/2839840 |
work_keys_str_mv | AT guerreschigiangiacomo intelquantumsdkaplatformforefficientexecutionofvariationalalgorithms AT guerreschigiangiacomo internationalconferenceonquantumtechnologiesforhighenergyphysicsqt4hep22 |