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STQS: A Unified System Architecture for Spatial Temporal Quantum Sensing

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Authors: Anastashia Jebraeilli, Chenxu Liu, Keyi Yin, Samuel Stein, Erik Lentz, Yufei Ding, Ang Li

Year

2026

Paper ID

52091

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

189

Citations

N/A

Abstract

We present STQS, a unified system architecture for spatiotemporal quantum sensing that interlaces four key quantum components: sensing , memory , communication , and computation . By employing a comprehensive gate-based framework, we systemically explore the design space of quantum sensing schemes and probe the influence of noise at each state in a sensing workflow through simulation. We introduce a novel distance-based metric that compares reference states to sensing states and assigns a confidence level. We anticipate that the distance measure will serve as an intermediate step toward more advanced quantum signal processing techniques like quantum machine learning. To our knowledge, STQS is the first system-level framework to integrate quantum sensing within a coherent, unified architectural paradigm. STQS provides seamless avenues for unique state preparation, multi-user sensing requests, and addressing practical implementations. We demonstrate the versatility of STQS through evaluations of quantum radar and qubit-based dark matter detection. To highlight the near-term feasibility of our approach, we present results obtained from IBM’s Marrakesh and IonQ’s Forte devices, validating key STQS components on present day quantum hardware. We have made the simulation code and experimental data used in this work publicly available.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • We present STQS, a unified system architecture for spatiotemporal quantum sensing that interlaces four key quantum components: sensing , memory , communication , and computation .

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