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This study presents a novel method for engineering multi-photon dissipation in bosonic qubits by utilizing dc-voltage-biased SQUIDs, which effectively eliminates spurious nonlinear terms common in parametric pumping approaches. By characterizing two-photon dissipation through Wigner tomography, the research establishes this technique as a robust resource for reservoir engineering and cat-qubit stabilization. The work advances quantum computing hardware design by offering a cleaner pathway to manage photon loss in high-Q modes.
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Engineering multi-photon dissipation with a dc-voltage-biased Josephson junction

arXiv1 min read

arXiv:2608.31154v1 Announce Type: new Abstract: Multi-photon dissipation -- a key resource for bosonic qubits -- is usually realized by parametrically pumping a Josephson coupler at the cost of spurious nonlinear terms. Here we instead engineer it using a dc-voltage-biased SQUID, such that these parasitic terms average out. We activate the conversion of one, two, or four photons of a high-Q mode into a single photon of a lossy mode. We characterize the two-photon dissipation by Wigner tomography, establishing dc-biased junctions as a resource for reservoir engineering and a viable route to cat-qubit stabilization.

Abstract:Multi-photon dissipation -- a key resource for bosonic qubits -- is usually realized by parametrically pumping a Josephson coupler at the cost of spurious nonlinear terms. Here we instead engineer it using a dc-voltage-biased SQUID, such that these parasitic terms average out. We activate the conversion of one, two, or four photons of a high-Q mode into a single photon of a lossy mode. We characterize the two-photon dissipation by Wigner tomography, establishing dc-biased junctions as a resource for reservoir engineering and a viable route to cat-qubit stabilization.

Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)

arXiv:2608.31154 [quant-ph]

(or arXiv:2608.31154v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.31154 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 187 words

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