Quantum computing has been under constant progress and resulted in introducing a transformative computational paradigm marked by its capability of processing information through the use of quantum states and operations that are defined by matrices and linear algebra. Quantum optics, on the other hand, employs photons as qubits and forms a basis for exploring light-matter interactions at quantum level, which has the potential to enable innovative advancements in science, engineering, medicine and technology. In view of these, quantum entanglement, which is to say a phenomenon where particles remain interconnected regardless of distance, has made applications like quantum cryptography, secure quantum communication, teleportation of information, and so on viable. To illustrate further, tasks such as fault-tolerant quantum computing, quantum simulation and error correction can be implemented efficiently by incorporating quantum optics, quantum resources and atomic systems along with innovative architectures developed.
When it comes to the significance of mathematical modeling in relation to quantum computing, applications such as machine learning, deep learning, artificial intelligence (AI), cryptography, among others, it can be noted that mathematical modeling enables bridging quantum computing through applications spanning across various disciplines, including mathematics, applied sciences, medicine, radiology, epidemiology, engineering, education sciences, computer informatics and data science, among many others. This interconnection translates complex quantum systems into actionable discernments, which emphasizes the vitality of mathematical modeling in terms of understanding, developing and advancing quantum computing-related technologies to make the most of computation and solve real-world problems.
Taken together, atomic systems alongside optical techniques are of focal importance for quantum memory and quantum networking, establishing the pillar of scalable quantum technologies having real-world impacts. Furthermore, quantum optics, quantum computing and quantum AI lay the underpinning for a new era of science, technology and industry, redefining the boundaries of what is experimentally and computationally possible. The aim of our special session is to broaden and deepen our understanding of quantum optics, quantum entanglement, quantum AI and mathematical modeling by expounding on their theoretical and application-related aspects.
The topics include but are not limited to: