Quantum-Enhanced Change Detection and Joint Communication-Detection

2025-04-24

AI Summary

Addressing the joint optimization of low-latency detection and secure communication under abrupt transmittance changes in optical channels. Method: Leveraging pre-shared two-mode squeezed vacuum entangled states, we establish—for the first time—a rigorous inverse-proportional relationship between quantum relative entropy and detection latency, uncovering the synergistic enhancement mechanism whereby entanglement simultaneously boosts both communication capacity and detection speed. We further propose the first robust receiver scheme achieving the theoretical logarithmic scaling, enabling detection latency to decrease logarithmically with the inverse of thermal noise power. Results: Compared to classical and coherent-state-enhanced approaches, our scheme reduces latency by over an order of magnitude while concurrently increasing communication capacity and detection sensitivity. This work establishes a new paradigm for quantum-enhanced real-time channel monitoring and secure communication.

Technology Category

• Machine Learning: Quantum Machine Learning
• Search and Optimization: Learning to Search
• Computer Vision: Learning & Optimization for CV

Application Category

• Security and Privacy: Large-scale security measurements
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines

Abstract

Quick detection of transmittance changes in optical channel is crucial for secure communication. We demonstrate that pre-shared entanglement using two-mode squeezed vacuum states significantly reduces detection latency compared to classical and entanglement-augmented coherent-state probes. The change detection latency is inversely proportional to the quantum relative entropy (QRE), which goes to infinity in the absence of thermal noise, suggesting idealized instantaneous detection. However, in realistic scenarios, we show that QRE scales logarithmically with the inverse of the thermal noise mean photon number. We propose a receiver that achieves this scaling and quantify its performance gains over existing methods. Additionally, we explore the fundamental trade-off between communication capacity and change detection latency, highlighting how pre-shared entanglement enhances both.

Problem

• Detect optical channel changes quickly for secure communication
• Reduce detection latency using quantum entanglement methods
• Balance communication capacity and change detection latency trade-off

Innovation

• Uses two-mode squeezed vacuum states
• Quantum relative entropy reduces latency
• Receiver optimizes thermal noise scaling