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Debnath S, Linke NM, Figgatt C, et al. Demonstration of a small programmable quantum computer with atomic qubits. Nature. 2016;536(7614):63-6doi: 10.1038/nature18648.
Debnath, S., Linke, N. M., Figgatt, C., Landsman, K. A., Wright, K., & Monroe, C. (2016). Demonstration of a small programmable quantum computer with atomic qubits. Nature, 536(7614), 63-6. https://doi.org/10.1038/nature18648
Debnath, S, et al. "Demonstration of a small programmable quantum computer with atomic qubits." Nature vol. 536,7614 (2016): 63-6. doi: https://doi.org/10.1038/nature18648
Debnath S, Linke NM, Figgatt C, Landsman KA, Wright K, Monroe C. Demonstration of a small programmable quantum computer with atomic qubits. Nature. 2016 Aug 04;536(7614):63-6. doi: 10.1038/nature18648. PMID: 27488798.
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Nature. 2016 Aug 04;536(7614):63-6. doi: 10.1038/nature18648.

Demonstration of a small programmable quantum computer with atomic qubits.

Nature

S Debnath, N M Linke, C Figgatt, K A Landsman, K Wright, C Monroe

Affiliations

  1. Joint Quantum Institute, Department of Physics, University of Maryland, College Park, Maryland 20742, USA.
  2. Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, Maryland 20742, USA.
  3. ionQ, Inc., College Park, Maryland 20742 USA.

PMID: 27488798 DOI: 10.1038/nature18648

Abstract

Quantum computers can solve certain problems more efficiently than any possible conventional computer. Small quantum algorithms have been demonstrated on multiple quantum computing platforms, many specifically tailored in hardware to implement a particular algorithm or execute a limited number of computational paths. Here we demonstrate a five-qubit trapped-ion quantum computer that can be programmed in software to implement arbitrary quantum algorithms by executing any sequence of universal quantum logic gates. We compile algorithms into a fully connected set of gate operations that are native to the hardware and have a mean fidelity of 98 per cent. Reconfiguring these gate sequences provides the flexibility to implement a variety of algorithms without altering the hardware. As examples, we implement the Deutsch-Jozsa and Bernstein-Vazirani algorithms with average success rates of 95 and 90 per cent, respectively. We also perform a coherent quantum Fourier transform on five trapped-ion qubits for phase estimation and period finding with average fidelities of 62 and 84 per cent, respectively. This small quantum computer can be scaled to larger numbers of qubits within a single register, and can be further expanded by connecting several such modules through ion shuttling or photonic quantum channels.

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