Thermal noise for quantum state inference
D. Mogilevtsev, V. S. Shchesnovich, N. Korolkova

TL;DR
This paper presents a straightforward method for inferring photon number distributions by adding adjustable thermal noise, which remains effective despite random fluctuations in scheme parameters.
Contribution
It introduces a simple, robust scheme for quantum state inference that tolerates parameter variability and does not require complex setups.
Findings
Effective photon number inference with added thermal noise
Robustness against random dynamical changes in scheme parameters
Simplified approach for quantum state analysis
Abstract
In this work we describe a simple and efficient scheme for inference of photon number distribution by adding variable thermal noise to the signal. The inference remains feasible even if the scheme parameters are subject to random dynamical change.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
