Intelligent Environments (IE) are physical spaces where computing technologies, such as the Internet of Things (IoT) and Computer Vision, work together to enhance user experience and optimize environmental management. These environments rely heavily on interconnected devices, such as cameras and sensors, to collect and process real-time data for tasks like facial recognition, activity monitoring, and environmental awareness. However, the growing number of IoT devices introduces significant security challenges, particularly due to the vulnerabilities of existing cryptographic systems.

With the advent of quantum computing, traditional cryptographic methods are increasingly at risk. Quantum computers can potentially break the complex algorithms underlying current public-key cryptography. To counter this threat, Post-Quantum Cryptography (PQC) is being developed to safeguard data from quantum-based attacks. This workshop will explore the integration of PQC into resource-constrained IoT devices, including those used for computer vision, ensuring secure and resilient Intelligent Environments.

Additionally, we will examine how quantum computing is poised to revolutionize computer vision applications by improving image processing tasks such as pattern recognition, object detection, and feature extraction, leveraging the power of quantum algorithms. This emerging field holds the potential to transcend the limitations of classical systems, opening new horizons for Intelligent Environments.

Areas of interest include, but are not limited to, the following:

• Post-Quantum Cryptography (PQC) for IoT devices in Intelligent Environments

• Quantum computing applications in computer vision for pattern recognition, object detection, and image processing

• Security vulnerabilities and challenges in IoT networks and vision systems in the context of quantum computing

• Integration of PQC in resource-constrained embedded systems within smart environments

• Quantum machine learning algorithms for enhanced vision systems in Intelligent Environments

• Transition strategies from classical cryptographic methods to PQC in IoT ecosystems

• Impact of quantum computing on data privacy and security in Intelligent Environments

• Use cases of PQC implementation in real-world Intelligent Environments (e.g., smart cities, healthcare, industrial networks)

• Future trends in quantum technologies and their influence on Intelligent Environments development and security

• Cross-disciplinary approaches combining AI, IoT, and quantum computing in Intelligent Environments