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Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
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Implementing quantum logic gates with gradient ascent pulse engineering: principles and practicalities.

Benjamin Rowland1, Jonathan A Jones

  • 1Oxford Centre for Quantum Computation, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|September 5, 2012
PubMed
Summary
This summary is machine-generated.

Gradient Ascent Pulse Engineering (GRAPE) pulses enable quantum logic gates in nuclear magnetic resonance quantum computers. This study explores GRAPE extensions and practical implementation challenges for improved quantum computing performance.

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Area of Science:

  • Quantum Computing
  • Nuclear Magnetic Resonance (NMR)

Background:

  • Nuclear Magnetic Resonance (NMR) is a powerful technique for probing molecular structure.
  • Implementing quantum logic gates is crucial for building functional quantum computers.
  • Gradient Ascent Pulse Engineering (GRAPE) offers a method for designing complex control pulses.

Purpose of the Study:

  • To describe the application of GRAPE pulses for quantum logic gates in NMR quantum computers.
  • To explore extensions of the core GRAPE technique.
  • To identify and discuss practical challenges in GRAPE sequence implementation.

Main Methods:

  • Utilizing GRAPE pulse sequences for quantum gate operations.
  • Developing extensions to the standard GRAPE methodology.
  • Analyzing experimental non-idealities affecting GRAPE sequence fidelity.

Main Results:

  • Demonstrated the feasibility of using GRAPE pulses for NMR quantum computation.
  • Identified several simple yet effective extensions to the GRAPE technique.
  • Characterized common experimental imperfections impacting GRAPE performance.

Conclusions:

  • GRAPE pulses are a viable tool for implementing quantum logic gates in NMR.
  • Extensions to GRAPE can enhance its applicability and robustness.
  • Addressing experimental non-idealities is critical for reliable NMR quantum computing.