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Published on: August 2, 2019
Flux-tunable heat sink for quantum electric circuits
M Partanen1, K Y Tan2, S Masuda2
1QCD Labs, QTF Centre of Excellence, Department of Applied Physics, Aalto University, P.O. Box 13500, FI-00076, Aalto, Finland. matti.t.partanen@aalto.fi.
Researchers developed a tunable heat sink for initializing superconducting qubits. This device efficiently dissipates photons in superconducting microwave circuits, crucial for quantum technology advancements.
Area of Science:
- Quantum Technology
- Superconducting Circuits
- Quantum Information Processing
Background:
- Superconducting microwave circuits are vital for quantum information processing.
- Fast and on-demand initialization of quantum states in these circuits is a significant challenge.
Purpose of the Study:
- To experimentally implement a tunable heat sink for initializing superconducting qubits.
- To engineer a device capable of efficient photon dissipation in superconducting circuits.
Main Methods:
- The device utilizes two coupled resonators: one with a high quality factor and fixed frequency, the other with a low quality factor and tunable frequency.
- On-chip resistors engineer the low quality factor, while superconducting quantum interference devices provide frequency tunability.
- Resonance between the two coupled resonators enables efficient photon dissipation from the high-quality resonator.
Main Results:
- The tunable heat sink demonstrated efficient photon dissipation when the coupled resonators were in resonance.
- The loaded quality factor was successfully tuned from over 10^5 down to a few thousand at 10 GHz.
- Experimental results showed good quantitative agreement with the developed theoretical model.
Conclusions:
- The implemented tunable heat sink is a promising solution for the on-demand initialization of superconducting qubits.
- This advancement addresses a key challenge in the practical application of superconducting quantum technologies.
- The device's tunable nature and efficient dissipation capabilities offer significant potential for quantum information processing applications.
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