Benchmarking an 11-qubit quantum computer

• Published in: Nature communications Vol. 10; no. 1; pp. 5464 - 6
• Main Authors: Wright, K., Beck, K. M., Debnath, S., Amini, J. M., Nam, Y., Grzesiak, N., Chen, J.-S., Pisenti, N. C., Chmielewski, M., Collins, C., Hudek, K. M., Mizrahi, J., Wong-Campos, J. D., Allen, S., Apisdorf, J., Solomon, P., Williams, M., Ducore, A. M., Blinov, A., Kreikemeier, S. M., Chaplin, V., Keesan, M., Monroe, C., Kim, J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 29.11.2019; Nature Publishing Group; Nature Portfolio
• Subjects: 639/766/36; 639/766/483/481; Algorithms; Benchmarks; Computer simulation; Cost function; Hardware; Humanities and Social Sciences; multidisciplinary; Quantum computers; Quantum computing; Quantum theory; Qubits (quantum computing); Science; Science (multidisciplinary); Supermicrocomputers
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-019-13534-2

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 13 171 Yb + ions. We demonstrate average single-qubit gate fidelities of 99.5 % , average two-qubit-gate fidelities of 97.5 % , and SPAM errors of 0.7 % . 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 % and 35 % , 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.