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QUASAR: QUantum-based Absolute in-SAtellite Radiometric-calibration

Catello Leonardo Matonti, Ivano Ruo Berchera, Alessandro Piro, Stefano Aliberti, Riccardo Apa, GIUSEPPE GOVERNALE, Marco Genovese, Jonas L. Bentell

Published Jan 1, 2026• 0 citations
OpenAlex

Abstract

The reliability and long-term stability of Earth Observation (EO) data products depend fundamentally on the accurate calibration of optical and infrared detectors. Current spaceborne radiometers, spectrometers, and imaging payloads rely on onboard blackbody sources, sun diffusers, deep space calibration port and ground-based reference targets. Although these techniques are mature, they remain limited by ageing effects and degradation, contamination, spectral non-uniformity, and the absence of true absolute traceability. These limitations impact climate data records, the reliability and stability of the data, the performances and quality of the products, inter-mission consistency, and the ability to meet increasingly stringent scientific and user requirements in domains such as environmental monitoring, atmospheric composition, disaster management, and climate services. The QUASAR concept proposes a quantum-based on-board calibration architecture that derives detector efficiency from fundamental photon pair correlations. By exploiting the absolute properties of quantum states, this approach removes the dependence on external radiometric reference standards and enables intrinsically traceable, self-contained, and highly stable in-flight calibration. The study investigates the feasibility of implementing a compact quantum optical source within EO payloads, with the objective of providing real-time, absolute calibration of Charge-Coupled Device, Complementary Metal-Oxide-Semiconductor, and Single-Photon Avalanche Diode-array detectors across the visible to short-wave infrared spectrum. The work presented assesses QUASAR as an integrated application that links advanced quantum technologies with the operational needs of EO user communities. The study addresses four dimensions essential to end-to-end solution development: 1. Scientific relevance, by identifying EO application sectors where improved calibration stability directly enhances societal and environmental decision-making; 2. Future potential, by quantifying performance improvements relative to current techniques and evaluating benefits for users who depend on long-term climate records and high-precision retrievals; 3. Feasibility, through architectural and engineering analyses that consider mass, power, thermal stability, and optical integration constraints for space deployment; 4. Strategic alignment, by situating the concept within the broader service value chain that supports climate services, environmental monitoring, and policy-driven EO programmes. By introducing an absolute radiometric reference that is independent of ageing and external targets, QUASAR has the potential to reinforce the robustness and societal impact of EO applications that rely on continuous, high-quality and stable data streams. The concept represents a cross-disciplinary pathfinder that bridges quantum technology, space engineering, and user-driven climate services, and offers a promising avenue for future integrated EO systems. The study is conducted as part of an activity funded by the European Space Agency and carried out in collaboration between INRIM, Starion Italia S.p.A., ASTRO S.r.l., and Politecnico di Torino.

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\section{Abstract} Quantum D Royale Smart Satellite is a quantum-enhanced intelligent satellite system integrating doped quantum dots, perovskite materials, advanced sensing systems, and artificial intelligence for defence, communication, earth observation, and space exploration. The system utilizes quantum physics principles including photon emission, quantum entanglement, and nanoscale material engineering to achieve high-efficiency sensing, secure communication, and adaptive structural performance. The satellite incorporates chromufusion surfaces, self-powered energy systems, and AI-driven mission control, enabling next-generation space operations. \section{Physics Principles} The operation of the system is based on fundamental physics concepts. Quantum dots exhibit size-dependent bandgap energy, enabling tunable photon emission and absorption. Perovskite materials provide high quantum efficiency and strong light-matter interaction for sensing and communication. 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By combining quantum optics, thermodynamics, and orbital physics, the system provides enhanced sensing, communication, and operational efficiency, positioning it as a transformative innovation in modern space and defence technology.

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The reliability and long-term stability of Earth Observation (EO) data products depend fundamentally on the accurate calibration of optical and infrared detectors. Current spaceborne radiometers, spectrometers, and imaging payloads rely on onboard blackbody sources, sun diffusers, deep space calibration port and ground-based reference targets. Although these techniques are mature, they remain limited by ageing effects and degradation, contamination, spectral non-uniformity, and the absence of true absolute traceability. These limitations impact climate data records, the reliability and stability of the data, the performances and quality of the products, inter-mission consistency, and the ability to meet increasingly stringent scientific and user requirements in domains such as environmental monitoring, atmospheric composition, disaster management, and climate services. The QUASAR concept proposes a quantum-based on-board calibration architecture that derives detector efficiency from fundamental photon pair correlations. By exploiting the absolute properties of quantum states, this approach removes the dependence on external radiometric reference standards and enables intrinsically traceable, self-contained, and highly stable in-flight calibration. The study investigates the feasibility of implementing a compact quantum optical source within EO payloads, with the objective of providing real-time, absolute calibration of Charge-Coupled Device, Complementary Metal-Oxide-Semiconductor, and Single-Photon Avalanche Diode-array detectors across the visible to short-wave infrared spectrum. The work presented assesses QUASAR as an integrated application that links advanced quantum technologies with the operational needs of EO user communities. The study addresses four dimensions essential to end-to-end solution development: 1. Scientific relevance, by identifying EO application sectors where improved calibration stability directly enhances societal and environmental decision-making; 2. Future potential, by quantifying performance improvements relative to current techniques and evaluating benefits for users who depend on long-term climate records and high-precision retrievals; 3. Feasibility, through architectural and engineering analyses that consider mass, power, thermal stability, and optical integration constraints for space deployment; 4. Strategic alignment, by situating the concept within the broader service value chain that supports climate services, environmental monitoring, and policy-driven EO programmes. By introducing an absolute radiometric reference that is independent of ageing and external targets, QUASAR has the potential to reinforce the robustness and societal impact of EO applications that rely on continuous, high-quality and stable data streams. The concept represents a cross-disciplinary pathfinder that bridges quantum technology, space engineering, and user-driven climate services, and offers a promising avenue for future integrated EO systems. The study is conducted as part of an activity funded by the European Space Agency and carried out in collaboration between INRIM, Starion Italia S.p.A., ASTRO S.r.l., and Politecnico di Torino.
Quantum sensing has emerged as a promising approach for spaceborne Earth Observation (EO) with the potential to offer higher accuracy, sensitivity and stability than instruments used in EO missions so far. While several quantum sensors have been developed and successfully tested in ground-based experiments, with some of them even available as commercial devices, the identification of their potential applications in space remains a challenge. Nevertheless, there are some promising technologies, including cold-atom interferometers, Rydberg receivers, atomic vapor- and Nitrogen-Vacancy center-based magnetometers, and quantum lidar, that show potential for enhancing EO capabilities. In this presentation, we will discuss the latest developments and challenges in quantum sensing for EO at the European Space Agency (ESA), highlighting the most promising technologies and their potential applications. We will also discuss ongoing efforts at ESA to identify potential applications of these sensors and the roadmap for their deployment. Finally, we will conclude with a discussion of the future prospects for quantum sensing in EO and the wider space exploration domain.
Globally, space agencies actively evaluate quantum sensing for its practical applications in space-based Earth Observation (EO), focusing on how it can improve accuracy, stability and enable new operational concepts. The near future looks promising for specific quantum technologies like Cold-Atom Interferometers (CAI), Rydberg Receivers (RR), and Nitrogen-Vacancy (NV) center-based magnetometers. These have the potential to enhance existing EO instrumentation in specific areas. A key task ahead is to identify and evaluate these potential improvements in the context of EO missions and to explore new observational concepts that may be enabled by these technologies. In our presentation, we will discuss the ongoing and planned activities in this area supported by the European Space Agency’s (ESA). This includes work on CAI for gravimetry, RRs in microwave radiometry, and NV center-based magnetometers for studying the Earth’s magnetosphere.
Optical quantum computing, as well as sensing technology based on quantum correlations are in preparation. These require photodiodes with close to perfect quantum efficiency for the detection of about 10^16 to 10^18 photons per second. Already the radiometric calibration is a challenge. Here, we provide the proof of concept of the quantum radiometric calibration (QRC) method, which is based on Heisenberg's uncertainty principle, derive the formula for its precision, and exclude the potential sources of systematic error. As an example, we calibrate a pair of the most efficient commercial photodiode at 1550 nm to the previously unknown system detection efficiency of (97.20 +/- 0.37)% using 10-dB-squeezed vacuum states. This value is unexpectedly low, too low for planned gravitational wave detectors and for continuous-variable optical quantum computing. With further improved precision, our work opens up the second true end-user application of the advantage provided by quantum correlations.
Earth observation (EO) is increasingly driven by large-scale remote sensing (RS) data, acquired from satellite and airborne platforms across diverse temporal and spatial resolutions. These datasets are characterized not only by volume, but by complex properties such as multi-source heterogeneity, high dimensionality, nonlinear feature distributions, and spatio-temporal variability. Processing such data at operational scale introduces significant algorithmic and computational challenges, particularly in high resolution environmental monitoring and planetary-scale inference tasks. Quantum computing (QC) offers a computational paradigm fundamentally different from classical computing, leveraging the principles of quantum mechanics to perform operations in high-dimensional state spaces. This theoretical advantage makes QC a compelling candidate for selected EO tasks, especially those involving combinatorial optimization and learning tasks. However, the limited qubit fidelity and scale of current quantum hardware constrain their direct applicability to operational applications in Earth observation. This PhD thesis investigates the application of annealing-based and circuit-based quantum algorithms to EO, as well as the integration of quantum algorithms with classical devices, such as those in high-performance computing (HPC) environments. It examines acquisition scheduling and data classification tasks within EO workflows. Experiments assess practical algorithmic benefits, computational scalability, and constraints imposed by hybrid quantum-classical execution. Results demonstrate that quantum modules, when carefully embedded into HPC architectures, can enhance selected stages of EO pipelines, specifically using quantum machine learning and quantum optimization approaches.
\section{Abstract} Quantum D Royale Smart Satellite is a quantum-enhanced intelligent satellite system integrating doped quantum dots, perovskite materials, advanced sensing systems, and artificial intelligence for defence, communication, earth observation, and space exploration. The system utilizes quantum physics principles including photon emission, quantum entanglement, and nanoscale material engineering to achieve high-efficiency sensing, secure communication, and adaptive structural performance. The satellite incorporates chromufusion surfaces, self-powered energy systems, and AI-driven mission control, enabling next-generation space operations. \section{Physics Principles} The operation of the system is based on fundamental physics concepts. Quantum dots exhibit size-dependent bandgap energy, enabling tunable photon emission and absorption. Perovskite materials provide high quantum efficiency and strong light-matter interaction for sensing and communication. Quantum key distribution (QKD) relies on quantum entanglement and the no-cloning theorem to ensure secure data transmission. Energy harvesting systems utilize photovoltaic, piezoelectric, and thermoelectric effects. Orbital mechanics governs satellite motion, while electromagnetic theory supports communication systems. Thermal radiation and heat transfer principles are applied for temperature regulation in space environments. \section{Tagging and Functional Explanation} \subsection*{Quantum Materials and Structure (1--10)} \begin{itemize} \item Quantum Smart Satellite: Integrated intelligent satellite platform. \item Doped Quantum Dots: Nanocrystals enabling tunable optical properties. \item Perovskite Smart Materials: High-efficiency light-sensitive materials. \item Chromufusion Technology: Dynamic color and optical modulation system. \item Adaptive Surfaces: Materials responding to environmental changes. \item Quantum Sensors: High-sensitivity detectors for physical parameters. \item Laser Communication: High-frequency optical communication system. \item Quantum Key Distribution: Secure communication via quantum entanglement. \item Earth Observation Satellite: Monitoring of terrestrial systems. \item Defence Surveillance: Strategic monitoring and intelligence gathering. \end{itemize} \subsection*{Sensing and Monitoring (11--20)} \begin{itemize} \item Climate Monitoring: Observation of atmospheric conditions. \item Disaster Prediction: Early warning system using sensor analytics. \item Space Weather Sensing: Detection of solar radiation and cosmic events. \item Radiation Protection: Shielding against cosmic radiation. \item Self-Healing Surface: Materials repairing structural damage. \item Anti-Jamming Communication: Resistant communication systems. \item Satellite Swarm Coordination: Multi-satellite networking. \item AI Decision Making: Autonomous mission control. \item Digital Twin Simulation: Virtual replication for analysis. \item Secure Data Transmission: Encrypted communication channels. \end{itemize} \subsection*{Energy and Materials (21--30)} \begin{itemize} \item Solar Energy Harvesting: Photovoltaic energy generation. \item Piezoelectric Energy: Mechanical-to-electrical energy conversion. \item Thermal Energy Harvesting: Heat-based energy generation. \item Graphene Composite Structure: Lightweight and strong material. \item Anti-Microbial Coating: Protection against biological contamination. \item Smart Payload Management: Dynamic allocation of satellite resources. \item Fault Detection and Recovery: System resilience mechanisms. \item Orbit Optimization: Efficient trajectory management. \item Collision Avoidance: Prevention of space debris impact. \item High-Speed Data Link: Rapid communication systems. \end{itemize} \subsection*{AI, Communication and Control (31--40)} \begin{itemize} \item Cloud Data Systems: Remote data storage and analysis. \item Global Connectivity: Worldwide communication coverage. \item Autonomous Navigation: Self-guided orbital movement. \item Adaptive Thermal Control: Temperature regulation system. \item Magnetic Field Detection: Measurement of geomagnetic activity. \item Gravitational Sensing: Detection of mass variations. \item Multi-Spectral Imaging: Data capture across wavelengths. \item Image Processing AI: Automated data interpretation. \item Target Detection: Identification of objects or threats. \item Space Communication Network: Inter-satellite communication. \end{itemize} \subsection*{Applications and Future Systems (41--50)} \begin{itemize} \item Defence Operations: Strategic military applications. \item Space Exploration: Deep space missions. \item Navigation Systems: GPS and positioning support. \item Disaster Management: Emergency response systems. \item Climate Science Research: Environmental studies. \item Secure Communication Systems: Encrypted global networks. \item Smart Space Infrastructure: Integrated orbital systems. \item Future Satellite Systems: Next-generation technologies. \item Advanced Surveillance: High-resolution monitoring. \item Global Data Intelligence: Large-scale data analytics. \end{itemize} \section{Conclusion} The Quantum D Royale Smart Satellite integrates advanced quantum materials, AI systems, and physical principles to create a robust, adaptive, and secure satellite platform. By combining quantum optics, thermodynamics, and orbital physics, the system provides enhanced sensing, communication, and operational efficiency, positioning it as a transformative innovation in modern space and defence technology.
A system for calibrating single photon detector efficiency that is traceable to the SI through a state-of-the-art classical optical fibre radiometer has been developed and is in the process of being vetted as a calibration service at the National Institute of Standards and Technology (NIST). The method of calibration is direct substitution to power meters relative to NIST's optical fibre cryogenic primary standard and builds on the existing measurement infrastructure for the calibration of optical fibre power meters. Recent improvements to the optical fibre cryogenic radiometer make it more robust and deployable. The traceability of the single photon detector calibration service under development to these classical measurements is discussed, along with a description of the technique used in this calibration service to calibrate the detection efficiency of single photon detectors. Finally, we discuss work on the development of these technologies so that in the future they may be deployable to the point-of- use.