Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 13, Pages 3305-3310Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1618020114
Keywords
quantum computing; quantum information; quantum information science; quantum physics; quantum computing architecture
Categories
Funding
- Army Research Office
- Intelligence Advanced Research Projects Activity (IARPA) LogiQ program
- Air Force Office of Scientific Research (AFOSR) Multidisciplinary University Research Initiative (MURI) program on Optimal Quantum Circuits
- National Science Foundation (NSF) Physics Frontier Center at JQI
- NSF
- Division Of Physics
- Direct For Mathematical & Physical Scien [1430094] Funding Source: National Science Foundation
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We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms. One is a publicly accessible superconducting transmon device (www.research.ibm.com/ibm-q) with limited connectivity, and the other is a fully connected trapped-ion system. Even though the two systems have different native quantum interactions, both can be programed in a way that is blind to the underlying hardware, thus allowing a comparison of identical quantum algorithms between different physical systems. We show that quantum algorithms and circuits that use more connectivity clearly benefit from a better-connected system of qubits. Although the quantum systems here are not yet large enough to eclipse classical computers, this experiment exposes critical factors of scaling quantum computers, such as qubit connectivity and gate expressivity. In addition, the results suggest that codesigning particular quantum applications with the hardware itself will be paramount in successfully using quantum computers in the future.
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