Quantum computing has rapidly evolved in recent years, transitioning from theory to practical experimentation. As the field is still in its early stages, there is a significant need for continued research to advance the technology and fully unlock its capabilities. Quantum computing holds immense promise for accelerating computationally intensive tasks across artificial intelligence, optimization, and simulations. It also presents new opportunities—and challenges—in cybersecurity.
The session particularly welcomes work exploring emerging applications, practical implementations, and novel algorithms that push the boundaries of current quantum capabilities.
This special session aims to foster progress in quantum computing by providing a platform for researchers to present their latest findings, exchange ideas, and collaboratively explore solutions to the technical and theoretical challenges they face.
The scope of the session includes, but is not limited to, the following topics:
- Quantum Optimization in Operational Research
- Practical Implementations of Quantum Algorithms
- Classification with Quantum Neural Networks
- Quantum Machine Learning for Time Series, Forecasting, and Signal Processing
- Hybrid Approaches in Quantum Machine Learning
- Compilation Techniques for Gate-Based Superconducting Quantum Computers
- Control Systems and Architectures of Quantum Computers
- Quantum Key Distribution and Quantum Cryptography
- Generation of True Quantum Random Numbers
- Error Mitigation and Noise-Resilient Techniques for NISQ Devices
- Quantum Simulation of Physical, Chemical, and Material Systems
- Integration of Quantum Computing with High-Performance Classical Infrastructure