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Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
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Parallelizing pre-calibrated quantum pulses optimizes quantum gates, significantly reducing errors and gate times for improved quantum computation. This strategy enhances fidelity for various quantum gates and applications.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Quantum Hardware Optimization

Background:

  • Quantum computation promises to solve intractable problems but is limited by short coherence times and imperfect circuit-hardware mapping.
  • Current quantum devices face challenges in achieving high fidelity and efficiency due to hardware limitations.

Purpose of the Study:

  • To present a hardware-level parallelization strategy for pre-calibrated pulses to optimize quantum gates.
  • To demonstrate improved fidelity and reduced gate times for quantum gates using this parallelization technique.

Main Methods:

  • Implementing hardware-level parallelization of pre-calibrated pulses for quantum gates.
  • Utilizing Cycle Benchmarking and Process Tomography to measure gate errors and fidelity.
  • Focusing on gates, with extensions to CNOT and CZ gates.

Main Results:

  • Achieved significant reduction in gate errors by half compared to serial concatenation.
  • Demonstrated improved fidelity and reduced gate times for gates.
  • Verified the applicability of the parallelization strategy to other essential quantum gates.

Conclusions:

  • Hardware-level pulse parallelization is an effective and easy-to-implement strategy for optimizing quantum gates.
  • This method offers substantial improvements in fidelity and gate speed, crucial for advancing quantum computation.
  • The strategy shows potential benefits for critical quantum tasks like Hamiltonian simulation, amplitude amplification, and error correction.