Thermally driven quantum refrigerator autonomously resets a superconducting qubit

Abstract Although classical thermal machines power industries and modern living, quantum thermal engines have yet to prove their utility. Here, we demonstrate a useful quantum absorption refrigerator formed from superconducting circuits. We use it to cool a transmon qubit to a temperature lower than that achievable with any one available bath, thereby resetting the qubit to an initial state suitable for quantum computing. The process is driven by a thermal gradient and is autonomous, requiring no external feedback. The refrigerator exploits an engineered three-body interaction between the target qubit and two auxiliary qudits. Each auxiliary qudit is coupled to a physical heat bath, realized with a microwave waveguide populated with synthesized quasithermal radiation. If the target qubit is initially fully excited, its effective temperature reaches a steady-state level of approximately 22 mK, lower than what can be achieved by existing state-of-the-art reset protocols. Our results demonstrate that superconducting circuits with propagating thermal fields can be used to experimentally explore quantum thermodynamics and apply it to quantum information-processing tasks.

Authors

Institutions

Publication Details

Journal
Nature Physics
Published
2025-01-09
DOI
https://doi.org/10.1038/s41567-024-02708-5
Citations
41
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
54.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermally driven quantum refrigerator autonomously resets a superconducting qubit

Mohammed Ali Aamir, Nicole Yunger Halpern, Jeffrey M. Epstein, Claudia Castillo-Moreno et al.
41 citations
Nature Physics
Advanced Thermodynamics and Statistical Mechanics
54.27
article

Thermally driven quantum refrigerator autonomously resets a superconducting qubit

Mohammed Ali Aamir, Nicole Yunger Halpern, Jeffrey M. Epstein, Claudia Castillo-Moreno, Paul Jamet Suria, Simone Gasparinetti, José Antonio Marín Guzmán
article en
41 citations

Abstract

Abstract Although classical thermal machines power industries and modern living, quantum thermal engines have yet to prove their utility. Here, we demonstrate a useful quantum absorption refrigerator formed from superconducting circuits. We use it to cool a transmon qubit to a temperature lower than that achievable with any one available bath, thereby resetting the qubit to an initial state suitable for quantum computing. The process is driven by a thermal gradient and is autonomous, requiring no external feedback. The refrigerator exploits an engineered three-body interaction between the target qubit and two auxiliary qudits. Each auxiliary qudit is coupled to a physical heat bath, realized with a microwave waveguide populated with synthesized quasithermal radiation. If the target qubit is initially fully excited, its effective temperature reaches a steady-state level of approximately 22 mK, lower than what can be achieved by existing state-of-the-art reset protocols. Our results demonstrate that superconducting circuits with propagating thermal fields can be used to experimentally explore quantum thermodynamics and apply it to quantum information-processing tasks.

Nature PhysicsVol. 21(2)
Joint Center for Quantum Information and Computer Science (US), Chalmers University of Technology (SE), University of Maryland, College Park (US)
National Science Foundation, John Templeton Foundation, European Commission, Chalmers Tekniska Högskola, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, National Institute of Standards and Technology, Wallenberg Center for Quantum Technology, Chalmers University of Technology
Affordable and clean energy
Openalex Percentile: Top 0%
Advanced Thermodynamics and Statistical Mechanics
54.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.