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Experimental comparison of two quantum computing architectures.

Norbert M Linke1,2, Dmitri Maslov3, Martin Roetteler4

  • 1Joint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742; monroe@umd.edu linke@umd.edu.

Proceedings of the National Academy of Sciences of the United States of America
|March 23, 2017
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Summary
This summary is machine-generated.

Researchers compared identical quantum algorithms on superconducting and trapped-ion quantum computers. Highly connected qubit systems showed clear performance benefits, highlighting connectivity as crucial for scaling quantum computing.

Keywords:
quantum computingquantum computing architecturequantum informationquantum information sciencequantum physics

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Computer Science

Background:

  • Quantum computing leverages quantum-mechanical phenomena to perform computations.
  • Different quantum hardware platforms (superconducting, trapped-ion) exhibit unique characteristics and limitations.
  • Assessing algorithm performance across diverse hardware is essential for understanding quantum computer scalability.

Purpose of the Study:

  • To compare the performance of identical quantum algorithms on two distinct 5-qubit quantum computing platforms.
  • To investigate the impact of qubit connectivity on algorithm execution.
  • To identify critical factors for scaling quantum computers and future application development.

Main Methods:

  • Execution of a selection of quantum algorithms on a superconducting transmon (limited connectivity) and a trapped-ion (fully connected) 5-qubit quantum computer.
  • Programming both systems in a hardware-agnostic manner to enable direct algorithm comparison.
  • Analysis of algorithm performance based on qubit connectivity and native quantum interactions.

Main Results:

  • Quantum algorithms and circuits utilizing higher qubit connectivity demonstrated superior performance on the better-connected trapped-ion system.
  • The study highlights that qubit connectivity is a critical factor influencing the efficiency of quantum computations.
  • While current systems are not yet capable of outperforming classical computers, the findings provide insights into scaling challenges.

Conclusions:

  • Qubit connectivity significantly impacts the performance of quantum algorithms.
  • Hardware-specific design and application codesigning will be crucial for the future success of quantum computing.
  • The experiment provides valuable data for understanding the scaling limitations and potential of different quantum computing architectures.