Quantum Linear Time-Translation-Invariant Systems: Conjugate Symplectic Structure, Uncertainty Bounds, and Tomography

ORAL

Abstract

Linear time-translation-invariant (LTI) models offer simple, yet powerful, abstractions of complex classical dynamical systems. Quantum versions of such models have so far relied on assumptions of Markovianity or an internal state-space description. We develop a general quantization scheme for multimode classical LTI systems that reveals their fundamental quantum noise, is applicable to non-Markovian scenarios, and does not require knowledge of an internal description. The resulting model is that of an open quantum LTI system whose dilation to a closed system is characterized by elements of the conjugate symplectic group. Using Lie group techniques, we show that such systems can be synthesized using frequency-dependent interferometers and squeezers. We derive tighter Heisenberg uncertainty bounds, which constrain the ultimate performance of any LTI system, and obtain an invariant representation of their output noise covariance matrix that reveals the ubiquity of "complex squeezing" in lossy systems. This frequency-dependent quantum resource can be hidden to homodyne and heterodyne detection and can only be revealed with more general "symplectodyne" detection. These results establish a complete and systematic framework for the analysis, synthesis, and measurement of arbitrary quantum LTI systems.

*J.D. gratefully acknowledges the support of the EU Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement No. 101003460 (PROBES). H. A. L. gratefully acknowledges the support of the National Science Foundation through the LIGO operations cooperative agreement PHY18671764464.

Publication: This work is on arxiv: https://arxiv.org/abs/2410.09976

Presenters

  • Jacques Ding

    • Université Paris Cité

Authors

  • Jacques Ding

    • Université Paris Cité
  • Hudson Alexander Loughlin

    • LIGO Laboratory, MIT
  • Vivishek Sudhir

    • Massachusetts Institute of Technology