Benchmarking an 11-qubit quantum computer

By Kenneth Wright, K. Beck, Shantanu Debnath, Jason M. Amini, Y. Nam, Nikodem Grzesiak, Jwo-Sy Chen, N. Pisenti, Mika Chmielewski, Coleman Collins and 14 more. Nature Communications, 2019

554 citations recorded by the source corpus.

The field of quantum computing has grown from concept to demonstration devices over the past 20 years. Universal quantum computing offers efficiency in approaching problems of scientific and commercial interest, such as factoring large numbers, searching databases, simulating intractable models from quantum physics, and optimizing complex cost functions. Here, we present an 11-qubit fully-connected, programmable quantum computer in a trapped ion system composed of 13 171Yb+ ions. We demonstrate average single-qubit gate fidelities of 99.5%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}, average two-qubit-gate fidelities of 97.5%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}, and SPAM errors of 0.7%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}. To illustrate the capabilities of this universal platform and provide a basis for comparison with similarly-sized devices, we compile the Bernstein-Vazirani and Hidden Shift algorithms into our native gates and execute them on the hardware with average success rates of 78%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document} and 35%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}, respectively. These algorithms serve as excellent benchmarks for any type of quantum hardware, and show that our system outperforms all other currently available hardware. The growing complexity of quantum computing devices makes presents challenges for benchmarking their performance as previous, exhaustive approaches become infeasible. Here the authors characterise the quality of their 11-qubit device by successfully computing two quantum algorithms.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/abac6d39b6aebc7c3e58b7b13f71e6d489c272dc

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Citations in the corpus

Magic State Distillation: Not as Costly as You Think (2019, background): “ phys characterizes all gates. However, physical systems typically feature signicantly better single-qubit operations than two-qubit gates. In state-of-the-art superconductingqubit [35] and ion-trap [36] architectures, for instance, the delities of single-qubit and two-qubit gates dier by up to almo”
A quantum processor based on coherent transport of entangled atom arrays (2021, unknown): “upgrades can be additionally supplemented by more sophisticated local single-qubit control employing, for example, parallel Raman excitation through AOM arrays [16].”
t|ket⟩: a retargetable compiler for NISQ devices (2020, background): “Superconducting and ion-trap-based quantum processors are now available from multiple commercial companies [10, 11, 12, 13, 14], while other technologies such as photonics are not far behind [15, 16].”
Quantum circuits with many photons on a programmable nanophotonic chip (2021, methodology): “As an example, the orbit [3, 1, 1, 1] corresponds to all six-photon outputs where there is one mode with three photons, three modes with a single photon, and zero photons in the rest.”
Superconducting quantum computing: a review (2020, background): “The past few years have witnessed the fast development of quantum computing technologies [6–17].”
Quantum simulation and computing with Rydberg-interacting qubits (2020, background): “≈ 10 (Sec III), similar to the latest reported demonstrations with SC quantum circuits 10,73 and trapped ions 19,74–76 .”
Simulating quantum many-body dynamics on a current digital quantum computer (2019, background): “[9] K Wright, K M Beck, S Debnath, J M Amini, Y Nam, N Grzesiak, J.”
Materials challenges and opportunities for quantum computing hardware (2021, background): “Lower error rates generally allow for more sophisticated algorithms on current hardware (8, 30), and future error-correcting quantum computers will likely require fidelities far beyond 99.”