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Harnessing two-photon dissipation for enhanced quantum measurement and control

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arxiv 2403.07744 v2 pith:IFOTTGZS submitted 2024-03-12 quant-ph

Harnessing two-photon dissipation for enhanced quantum measurement and control

classification quant-ph
keywords dissipationtwo-photonquantumqubitstatescontrolexceedingmeasurement
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Dissipation engineering offers a powerful tool for quantum technologies. Recently, new superconducting devices have achieved an engineered two-photon dissipation rate exceeding all other relevant timescales. In particular, they have proven most useful in preventing transitions between the logical states $|\pm\alpha\rangle$ of a cat qubit. Here, we present three key applications of strong two-photon dissipation for quantum measurement and control, beyond cat qubit stabilization. Firstly, we demonstrate its efficacy in overcoming limitations encountered in Wigner tomography at high photon numbers. Secondly, we showcase its potential for realizing universal gates on cat qubits, exploiting the coherent mapping between cat qubit states and superpositions of 0 and 1 photons. Finally, we harness the transient dynamics of a cat state under two-photon dissipation to prepare squeezed cat states with a squeezing factor exceeding 3.96$\pm$0.07 dB.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Geometry of Quantum Complexity in Open Systems

    quant-ph 2026-07 accept novelty 7.0

    Nielsen complexity for Lindbladian open systems induces a sub-Finslerian geometry on mixed states whose flag curvature depends on control penalty factors.

  2. A cat qubit stabilization scheme using a voltage biased Josephson junction

    quant-ph 2024-11 unverdicted novelty 7.0

    A DC-voltage-biased Josephson junction circuit is proposed to deliver larger two-to-one photon exchange rates for cat-qubit stabilization while suppressing resonant Kerr and cross-Kerr terms via dynamical averaging.