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Superconducting Qubits Quantum Error Correction Fault Tolerance Quantum Machine Learning

Proposal for Superconducting Quantum Networks Using Multi-Octave Transduction to Lower Frequencies

arXiv
Authors: Takuma Makihara, Wentao Jiang, Amir H. Safavi-Naeini

Year

2024

Paper ID

64814

Status

Preprint

Abstract Read

~2 min

Abstract Words

99

Citations

N/A

Abstract

We propose networking superconducting quantum circuits by transducing their excitations (typically 4-8 GHz) to 100-500 MHz photons for transmission via cryogenic coaxial cables. Counter-intuitively, this frequency downconversion reduces noise and transmission losses. We introduce a multi-octave asymmetrically threaded SQUID circuit (MOATS) capable of the required efficient, high-rate transduction. For a 100-meter cable with Qi = 105 at 10 mK, our approach achieves single-photon fidelities of 0.962 at 200 MHz versus 0.772 at 8 GHz, and triples the lower bound on quantum channel capacity. This method enables kilometer-scale quantum links while maintaining high fidelities, combining improved performance with the practical advantages of flexible, compact coaxial cables.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • We propose networking superconducting quantum circuits by transducing their excitations (typically 4-8 GHz) to 100-500 MHz photons for transmission via cryogenic coaxial cables.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2407.20943 [2] arXiv https://arxiv.org/abs/2407.20943 [3] Publisher https://arxiv.org/abs/2407.20943

Local Citation Graph (Related-Paper Links)

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