Quantum Technologies and AI supported Sustainable Healthcare: Innovations in Green Chemistry, Soft Robotics, Flexible Electronics and Smart Nanomaterials

Quantum technology, Artificial Intelligence (AI), and Machine Learning (ML) represent powerful tools with transformative potential across different sectors. Quantum computing, with its ability to process vast datasets through qubits, offers computational capabilities far beyond traditional systems. When combined with AI and ML, quantum sensor technology can tackle complex problems in healthcare, from improving diagnostic accuracy to optimizing treatment plans. In sustainability, these technologies can enhance green chemistry processes, advance eco-friendly smart nanomaterials, and monitor environmental changes with unprecedented precision. The convergence of quantum technology with AI/ML is a frontier in science, promising to address global challenges by fostering innovations in health, environmental stewardship, and advanced smart sensor technologies.

The growing complexity of healthcare and environmental sustainability challenges requires innovative solutions that go beyond current technological limitations. Quantum technology and artificial intelligence (AI) offer promising approaches to address these issues. Existing AI and machine learning systems, while advanced, face challenges in handling large, complex datasets essential for breakthroughs in healthcare diagnostics, personalized treatments, and environmental sustainability efforts. At the same time, many current healthcare devices rely on energy-inefficient or environmentally harmful materials.

Quantum technology, with its immense computational power and precision, can help overcome these hurdles by optimizing AI-driven processes more effectively. Recent advances in AI have also accelerated drug discovery and molecular simulations, creating opportunities for the integration of AI, quantum technologies, soft robotics, smart nanomaterials, and flexible electronics. These advancements can lead to innovations in minimally invasive surgeries, real-time health monitoring, and sustainable medical devices. In sustainability efforts, quantum and AI technologies can design eco-friendly materials, reduce waste, and improve environmental monitoring through green chemistry and microfluidics. By addressing both healthcare and environmental challenges, this Research Topic aims to provide innovative, sustainable solutions for a better future.

We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:

• Quantum and AI for advanced healthcare diagnostics, and personalized treatment.
• Soft robotics in healthcare and sustainable applications.
• Flexible electronics for real-time health monitoring.
• Quantum technology for sustainable green chemistry solutions.
• Microfluidics and AI for point-of-care diagnostics.
• Quantum-AI hybrid approaches for smart nanomaterials in healthcare devices.
• Quantum cryptography for securing AI-driven healthcare systems.
• Soft robotics and AI in agricultural sustainability.
• Flexible, AI-integrated electronics for energy-efficient ecosystems.
• Development of eco-friendly smart nanomaterials using quantum and AI technologies.
• Quantum-AI hybrid approaches for green chemistry and efficient resource management.