Quantum simulation with just-in-time compilation

Stavros Efthymiou; Marco Lazzarin; Andrea Pasquale; Stefano Carrazza

doi:10.22331/q-2022-09-22-814

Quantum simulation with just-in-time compilation

Stavros Efthymiou¹, Marco Lazzarin¹, Andrea Pasquale^1,2, and Stefano Carrazza^1,2,3

¹Quantum Research Centre, Technology Innovation Institute, Abu Dhabi, UAE.
²TIF Lab, Dipartimento di Fisica, Università degli Studi di Milano and INFN Sezione di Milano, Milan, Italy.
³CERN, Theoretical Physics Department, CH-1211 Geneva 23, Switzerland.

Published:	2022-09-22, volume 6, page 814
Eprint:	arXiv:2203.08826v2
Doi:	https://doi.org/10.22331/q-2022-09-22-814
Citation:	Quantum 6, 814 (2022).

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Abstract

Quantum technologies are moving towards the development of novel hardware devices based on quantum bits (qubits). In parallel to the development of quantum devices, efficient simulation tools are needed in order to design and benchmark quantum algorithms and applications before deployment on quantum hardware. In this context, we present a first attempt to perform circuit-based quantum simulation using the just-in-time (JIT) compilation technique on multiple hardware architectures and configurations based on single-node central processing units (CPUs) and graphics processing units (GPUs). One of the major challenges in scientific code development is to balance the level of complexity between algorithms and programming techniques without losing performance or degrading code readability. In this context, we have developed $\texttt{qibojit}$: a new module for the Qibo quantum computing framework, which uses a just-in-time compilation approach through Python. We perform systematic performance benchmarks between our JIT approach and a subset of relevant publicly available libraries for quantum computing. We show that our novel approach simplifies the complex aspects of the implementation without deteriorating performance.

Featured image: The software framework layout and performance benchmark results for quantum circuit simulation.

Popular summary

► BibTeX data

@article{Efthymiou2022quantumsimulation,
  doi = {10.22331/q-2022-09-22-814},
  url = {https://doi.org/10.22331/q-2022-09-22-814},
  title = {Quantum simulation with just-in-time compilation},
  author = {Efthymiou, Stavros and Lazzarin, Marco and Pasquale, Andrea and Carrazza, Stefano},
  journal = {{Quantum}},
  issn = {2521-327X},
  publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
  volume = {6},
  pages = {814},
  month = sep,
  year = {2022}
}

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Cited by

[1] S. Carrazza, S. Efthymiou, M. Lazzarin, and A. Pasquale, "An open-source modular framework for quantum computing", Journal of Physics Conference Series 2438 1, 012148 (2023).

[2] Roel Van Beeumen, Daan Camps, and Neil Mehta, "QCLAB++: Simulating Quantum Circuits on GPUs", arXiv:2303.00123, (2023).

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On Crossref's cited-by service no data on citing works was found (last attempt 2023-05-29 16:08:16).

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