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Dynamic acoustic optimization of pulse tube refrigerators for rapid cooldown

Author

Listed:
  • Ryan Snodgrass

    (National Institute of Standards and Technology
    University of Colorado Boulder)

  • Vincent Kotsubo

    (National Institute of Standards and Technology
    University of Colorado Boulder)

  • Scott Backhaus

    (National Institute of Standards and Technology
    University of Colorado Boulder)

  • Joel Ullom

    (National Institute of Standards and Technology
    University of Colorado Boulder)

Abstract

Pulse tube refrigerators are a critical enabling technology for many disciplines that require low temperatures. These refrigerators dominate the total power consumption of most modern cryostats, including those that reach millikelvin temperatures using additional cooling stages. In state-of-the-art commercial pulse tube refrigerators, the acoustic coupling between the driving compressor and the refrigerator is fixed and optimized for operation at base temperature. We show that this optimization is incorrect during the cooldown process, which results in wasted power consumption by the compressor and slow cooldown speed. After developing analytic expressions that demonstrate the need for acoustic tuning as a function of temperature, we dynamically optimize the acoustics of a commercial pulse tube refrigerator and show that the cooldown speed can be increased to 1.7 to 3.5 times the original value. Acoustic power measurements show that loss mechanism(s)—and not the capacity of the compressor—limit the maximum cooling available at high temperatures, suggesting that even faster cooldown speeds can be achieved in the future. This work has implications for the accessibility of cryogenic temperatures and the cadence of research in many disciplines such as quantum computing.

Suggested Citation

  • Ryan Snodgrass & Vincent Kotsubo & Scott Backhaus & Joel Ullom, 2024. "Dynamic acoustic optimization of pulse tube refrigerators for rapid cooldown," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47561-5
    DOI: 10.1038/s41467-024-47561-5
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    1. Frank Arute & Kunal Arya & Ryan Babbush & Dave Bacon & Joseph C. Bardin & Rami Barends & Rupak Biswas & Sergio Boixo & Fernando G. S. L. Brandao & David A. Buell & Brian Burkett & Yu Chen & Zijun Chen, 2019. "Quantum supremacy using a programmable superconducting processor," Nature, Nature, vol. 574(7779), pages 505-510, October.
    2. Youngseok Kim & Andrew Eddins & Sajant Anand & Ken Xuan Wei & Ewout Berg & Sami Rosenblatt & Hasan Nayfeh & Yantao Wu & Michael Zaletel & Kristan Temme & Abhinav Kandala, 2023. "Evidence for the utility of quantum computing before fault tolerance," Nature, Nature, vol. 618(7965), pages 500-505, June.
    3. M. K. Bhaskar & R. Riedinger & B. Machielse & D. S. Levonian & C. T. Nguyen & E. N. Knall & H. Park & D. Englund & M. Lončar & D. D. Sukachev & M. D. Lukin, 2020. "Experimental demonstration of memory-enhanced quantum communication," Nature, Nature, vol. 580(7801), pages 60-64, April.
    4. K. M. Backes & D. A. Palken & S. Al Kenany & B. M. Brubaker & S. B. Cahn & A. Droster & Gene C. Hilton & Sumita Ghosh & H. Jackson & S. K. Lamoreaux & A. F. Leder & K. W. Lehnert & S. M. Lewis & M. Ma, 2021. "A quantum enhanced search for dark matter axions," Nature, Nature, vol. 590(7845), pages 238-242, February.
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