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Noise-resistant control for a spin qubit array.

J P Kestner1, Xin Wang2, Lev S Bishop3

  • 1Department of Physics, University of Maryland Baltimore County, Baltimore, Maryland 21250, USA and Condensed Matter Theory Center, Department of Physics, University of Maryland, College Park, Maryland 20742, USA.

Physical Review Letters
|August 29, 2014
PubMed
Summary
This summary is machine-generated.

We developed corrected gate operations for quantum computing using singlet-triplet qubits, reducing errors below the quantum error correction threshold for scalable semiconductor quantum computation.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Semiconductor Physics

Background:

  • Quantum computation relies on precise control of qubits.
  • Semiconductor-based qubits face challenges from noise, including nuclear Overhauser field gradients and charge noise.
  • Scalable quantum computing requires robust gate operations that minimize errors.

Purpose of the Study:

  • To develop a systematic method for corrected gate operations on exchange-coupled singlet-triplet qubits.
  • To address the impact of fluctuating nuclear Overhauser field gradients and charge noise.
  • To enable error reduction below the quantum error correction threshold for both single- and multi-qubit gates.

Main Methods:

  • Development of systematic, corrected single-qubit control sequences.
  • Implementation of these sequences as building blocks for a corrected CNOT gate.
  • Focus on exchange-coupled singlet-triplet qubits in a semiconductor architecture.

Main Results:

  • Presented simple and relatively short single-qubit control sequences.
  • Demonstrated the potential for these sequences to form the basis of a corrected CNOT gate.
  • Facilitated error reduction below the quantum error correction threshold.

Conclusions:

  • The developed method is a key step towards large-scale quantum computation in semiconductor architectures.
  • Error reduction for both single- and multi-qubit gates is achievable.
  • This work advances the feasibility of robust quantum computing.