Infinite-fold Asymptotic Quantum Advantage in Classical Correlation Sensing
March 21, 2025 Β· Declared Dead Β· π International Conference on Quantum Computing and Engineering
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Authors
Janis NΓΆtzel, Pere Munar-Vallespir
arXiv ID
2503.17235
Category
quant-ph: Quantum Computing
Cross-listed
cs.IT
Citations
0
Venue
International Conference on Quantum Computing and Engineering
Last Checked
5 months ago
Abstract
We study the hypothesis testing problem of distinguishing between correlated thermal noise and uncorrelated thermal noise of the same average energy on $K$ detectors in asymptotic asymmetric hypothesis testing. We compare the performance of heterodyne or homodyne detection with classical post-processing, the most general quantum strategy (involving any arbitrary measurement), and a simple strategy involving a photonic chip and On-Off detection. When the average received energy per detector goes to zero, the photonic chip strategy asymptotically achieves the optimal decrease in the error, while heterodyne/homodyne measurements do not. Thus, we show that linear optics and On-Off measurement are enough to achieve better detection than classical methods when detecting correlations in thermal optical signals.
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