Integrated Satellite-Ground Variational Quantum Sensing Networks

Quantum sensing networks (QSNs) embody a fusion of quantum sensing and quantum communication, achieving both Heisenberg precision and unconditional security through the exploitation of quantum phenomena such as superposition and entanglement. However, the scalability and sensing capability of QSNs in the noisy intermediate-scale quantum (NISQ) era face challenges due to technological constraints, device imperfections, quantum noise, and dynamic sensing scenarios. Recent advancements in integrating quantum non-terrestrial networks (NTNs) and terrestrial networks (TNs) have paved the way for a global-scale quantum internet. Furthermore, leveraging variational quantum sensing (VQS), which capitalizes on hybrid quantum-classical computing, enhances quantum sensing capabilities. VQS tailors quantum sensing probes for dynamic sensing scenarios and noisy environments, significantly advancing application-specific NISQ sensing. We propose an integrated framework by combining VQS for optimal probe preparation and dynamic utility, as well as satellite-ground quantum networking for establishing on-demand entanglement across remote TN nodes. The integrated framework is advantageous over the standalone ground QSNs in terms of network scalability and sensing capability. Simulation results validate the effectiveness of the proposed framework, thereby introducing prospects for scalable and efficient quantum sensing on a global scale.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-10-01
DOI
https://doi.org/10.1109/mcom.005.2300844
Citations
9
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
4.81

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article

Integrated Satellite-Ground Variational Quantum Sensing Networks

Uman Khalid, Hyundong Shin, Muhammad Shohibul Ulum, Moe Z. Win
9 citations
IEEE Communications Magazine
Earthquake Detection and Analysis
4.81
article

Integrated Satellite-Ground Variational Quantum Sensing Networks

Uman Khalid, Hyundong Shin, Muhammad Shohibul Ulum, Moe Z. Win
article en
9 citations

Abstract

Quantum sensing networks (QSNs) embody a fusion of quantum sensing and quantum communication, achieving both Heisenberg precision and unconditional security through the exploitation of quantum phenomena such as superposition and entanglement. However, the scalability and sensing capability of QSNs in the noisy intermediate-scale quantum (NISQ) era face challenges due to technological constraints, device imperfections, quantum noise, and dynamic sensing scenarios. Recent advancements in integrating quantum non-terrestrial networks (NTNs) and terrestrial networks (TNs) have paved the way for a global-scale quantum internet. Furthermore, leveraging variational quantum sensing (VQS), which capitalizes on hybrid quantum-classical computing, enhances quantum sensing capabilities. VQS tailors quantum sensing probes for dynamic sensing scenarios and noisy environments, significantly advancing application-specific NISQ sensing. We propose an integrated framework by combining VQS for optimal probe preparation and dynamic utility, as well as satellite-ground quantum networking for establishing on-demand entanglement across remote TN nodes. The integrated framework is advantageous over the standalone ground QSNs in terms of network scalability and sensing capability. Simulation results validate the effectiveness of the proposed framework, thereby introducing prospects for scalable and efficient quantum sensing on a global scale.

IEEE Communications MagazineVol. 62(10)
Kyung Hee University (KR), Massachusetts Institute of Technology (US)
National Natural Science Foundation of China, National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 4%
Earthquake Detection and Analysis
4.81
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