Effective Mode Approximation for Probabilistic Verification of Collective Hamiltonians in Large Continuous-Variable Quantum Systems
The Effective Mode Approximation (EMA) is a verification-oriented framework for characterizing collective Hamiltonian dynamics in large continuous-variable (CV) quantum systems from experimentally accessible collective measurements. Rather than reconstructing a full mode-resolved Hamiltonian, EMA maps the observed dynamics onto a canonically normalized collective mode and tests whether summed quadrature trajectories are consistent with an effective harmonic description. We validate EMA using time-resolved homodyne sampling in Gaussian simulations of ring-coupled multi-qu-mode optical systems with N=8,16,32, and 64 modes. One-tone and two-tone sinusoidal models, selected using the Akaike Information Criterion (AIC), recover a stable dominant collective frequency across system size and produce residuals that remain centred near zero. The results show that EMA can verify dominant collective behaviour with a fixed number of effective parameters even when full microscopic reconstruction is impractical. EMA is therefore best understood not as a full-state ansatz, but as a low-overhead tool for validating collective dynamics under realistic measurement constraints in scalable CV hardware.
Authors
- Alexander Truskovsky
- Nadeem Said
- Mark Pecen
- Andy Thanos
- José R. Rosas-Bustos
- Jesse Van Griensven Van Griensven Thé
- Roydon Andrew Fraser
- Sebastian Ratto Ratto Valderrama (ORCID: https://orcid.org/0009-0007-5483-4739)
Institutions
- Cisco Systems (United States) (US)
- University of Waterloo (CA)
- Lakes Environmental (Canada) (CA)
- Applied Quantum Technologies (United States) (US)
- Quantum Technologies (Sweden) (SE)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Entropy
- Published
- 2026-05-02
- DOI
- https://doi.org/10.3390/e28050514
- Primary Topic
- Spectroscopy and Quantum Chemical Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Sciences and Engineering Research Council of Canada