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Standing Waves in a Cavity01:28

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A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
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Materials loss measurements using superconducting microwave resonators.

C R H McRae1, H Wang1, J Gao1

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Superconducting circuit performance for quantum computing is limited by material losses, particularly two-level system (TLS) losses. This review details resonator experiments to identify low-loss materials and fabrication techniques for scalable quantum architectures.

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Area of Science:

  • Quantum Computing
  • Materials Science
  • Superconducting Circuits

Background:

  • Superconducting circuit performance is hindered by material losses, especially two-level system (TLS) losses at low temperatures and photon powers.
  • Scalable quantum computing architectures necessitate the identification of low-loss fabrication techniques, materials, and thin-film dielectrics.

Purpose of the Study:

  • To provide an overview of designing accurate resonator experiments for characterizing material and interface losses in superconducting circuits.
  • To summarize techniques for assessing performance and studying loss mechanisms relevant to superconducting quantum computing.

Main Methods:

  • Utilizing superconducting microwave resonators as qubit proxies to study loss mechanisms.
  • Reviewing experimental considerations including cryogenic setup, device design, and loss extraction methods.
  • Summarizing over two decades of evolving techniques for materials characterization.

Main Results:

  • Results from measurements across a variety of materials and processes are compiled.
  • Identified key factors influencing loss, including TLS, non-equilibrium quasiparticles, and magnetic flux vortices.
  • Highlighted the importance of accurate loss characterization for material selection.

Conclusions:

  • Accurate resonator experiments are critical for understanding and mitigating losses in superconducting quantum computing.
  • Standardized reporting of loss data is recommended to facilitate cross-field material comparisons.
  • Advancing low-loss materials and fabrication is essential for scalable quantum architectures.