aiqbench analysis
This paper presents fundamental research on conditional Gaussian filtering within continuous-variable quantum cluster wires, specifically analyzing how Arthurs–Kelly readout patterns alter input-output covariance transformations. It establishes a hierarchy of gain-transferred areas for different measurement combinations (AH, HA, AA), demonstrating that finite position records contract the covariance area more than homodyne methods. This work advances the theoretical understanding of measurement-induced operations in quantum networks without relying on classical AI or machine learning techniques.
Conditional Gaussian filtering by Arthurs--Kelly readout in a three-mode cluster wire
arXiv:2608.22043v1 Announce Type: new Abstract: Measurement readout programs the Gaussian operation implemented by a continuous-variable cluster wire. For the standard three-node wire, momentum homodyne readout gives an additive parity channel with finite-squeezing noise. We classify the pattern-resolved input--output covariance transformations generated by calibrated uncorrelated Arthurs--Kelly readout on one or both consumed nodes. Any finite Arthurs--Kelly position record produces a conditional Gaussian filter whose gain and residual covariance depend on the input covariance entries, rather than an input-independent additive Gaussian channel. Writing $\mathrm{A}$ for Arthurs--Kelly readout and $\mathrm{H}$ for homodyne readout, the readout pattern selects the filtered sector, with $\mathrm{AH}$ selecting position, $\mathrm{HA}$ selecting momentum, and $\mathrm{AA}$ retaining both. The hierarchy $0 < \tau_{\mathrm{AA}} < \min \left\{ \tau_{\mathrm{AH}}, \tau_{\mathrm{HA}} \right\} < 1 = \tau_{\mathrm{HH}}$ shows that finite Arthurs--Kelly position records contract the gain-transferred covariance area. Our results identify calibrated uncorrelated Arthurs--Kelly readout as a measurement-level method for covariance-sensitive Gaussian filtering inside a fixed cluster graph.
Abstract:Measurement readout programs the Gaussian operation implemented by a continuous-variable cluster wire. For the standard three-node wire, momentum homodyne readout gives an additive parity channel with finite-squeezing noise. We classify the pattern-resolved input--output covariance transformations generated by calibrated uncorrelated Arthurs--Kelly readout on one or both consumed nodes. Any finite Arthurs--Kelly position record produces a conditional Gaussian filter whose gain and residual covariance depend on the input covariance entries, rather than an input-independent additive Gaussian channel. Writing $\mathrm{A}$ for Arthurs--Kelly readout and $\mathrm{H}$ for homodyne readout, the readout pattern selects the filtered sector, with $\mathrm{AH}$ selecting position, $\mathrm{HA}$ selecting momentum, and $\mathrm{AA}$ retaining both. The hierarchy $0 < \tau_{\mathrm{AA}} < \min \left\{ \tau_{\mathrm{AH}}, \tau_{\mathrm{HA}} \right\} < 1 = \tau_{\mathrm{HH}}$ shows that finite Arthurs--Kelly position records contract the gain-transferred covariance area. Our results identify calibrated uncorrelated Arthurs--Kelly readout as a measurement-level method for covariance-sensitive Gaussian filtering inside a fixed cluster graph.
arXiv:2608.22043 [quant-ph]
(or arXiv:2608.22043v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.22043 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 240 words
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