Table of Contents
Fetching ...

Quantum Radar System Using Born-Feynman path integrals approach

Kumar Gautam, Akshit Dutta, Kumar Shubham

TL;DR

This work tackles enhancing radar sensitivity and discrimination in noisy or stealthy scenarios by proposing a quantum radar that uses a quantum-dot based entangled photon source to generate signal-idler pairs. It implements a complete system with a microwave-beamforming transmission module, a delay line to preserve coherence, a cryogenic SNSPD detector, and a signal-processing unit that leverages joint measurements of the entangled pair. Target detection is formulated as a binary quantum hypothesis test between $\rho_0$ (idler plus noise) and $\rho_1$ (phase-modified, return-entangled state), with theoretical performance bounded by the Helstrom bound $P_e$ and quantified by fidelity $F(\rho_0, \rho_1)$. The paper discusses deployment trade-offs, EMI/EMC mitigation, and the potential advantages over classical radars, including very low transmitted power around $-130$ to $-100$ dBm and improved resilience to noise and jamming.

Abstract

The paper relates to a quantum radar deployment by the Born-Feynman path integrals approach based on quantum dots. The radar system comprises a quantum dot-based entangled photon generator, a transmission module, a delay line, a detection module, and a signal processing unit. The quantum dot-based entangled photon generator produces entangled photon pairs via spontaneous parametric down-conversion or stimulated emission. The signal transmission module, equipped with a microwave antenna and beamforming elements, directs the signal photon toward a target. The delay line module synchronizes the retained idler photon with the returning signal photon, preserving quantum coherence. The detection module collects the reflected signal photon and uses a cryogenically cooled superconducting nanowire single photon detector (SNSPD) for detection. Finally, the signal processing unit analyzes the quantum correlation between the scattered and idler photons to enable precise quantum state comparison.

Quantum Radar System Using Born-Feynman path integrals approach

TL;DR

This work tackles enhancing radar sensitivity and discrimination in noisy or stealthy scenarios by proposing a quantum radar that uses a quantum-dot based entangled photon source to generate signal-idler pairs. It implements a complete system with a microwave-beamforming transmission module, a delay line to preserve coherence, a cryogenic SNSPD detector, and a signal-processing unit that leverages joint measurements of the entangled pair. Target detection is formulated as a binary quantum hypothesis test between (idler plus noise) and (phase-modified, return-entangled state), with theoretical performance bounded by the Helstrom bound and quantified by fidelity . The paper discusses deployment trade-offs, EMI/EMC mitigation, and the potential advantages over classical radars, including very low transmitted power around to dBm and improved resilience to noise and jamming.

Abstract

The paper relates to a quantum radar deployment by the Born-Feynman path integrals approach based on quantum dots. The radar system comprises a quantum dot-based entangled photon generator, a transmission module, a delay line, a detection module, and a signal processing unit. The quantum dot-based entangled photon generator produces entangled photon pairs via spontaneous parametric down-conversion or stimulated emission. The signal transmission module, equipped with a microwave antenna and beamforming elements, directs the signal photon toward a target. The delay line module synchronizes the retained idler photon with the returning signal photon, preserving quantum coherence. The detection module collects the reflected signal photon and uses a cryogenically cooled superconducting nanowire single photon detector (SNSPD) for detection. Finally, the signal processing unit analyzes the quantum correlation between the scattered and idler photons to enable precise quantum state comparison.
Paper Structure (1 section, 15 equations, 2 tables)

This paper contains 1 section, 15 equations, 2 tables.

Table of Contents

  1. Introduction