The conference will cover the following topics:
• machine-learning methods in medical applications
• machine-learning methods in high energy physics and astrophysics
• application for generative models for fast simulations both in medicine and particle physics.
• simulations and quantum algorithms
• Quantum computing algorithms and quantum-inspired computing algorithms
• novel methods in medical imaging
• big data processing techniques in physics and medicine with the High-Performance Computing platforms as well as heterogeneous ones such as FPGA and GPU
-
Quantum algorithms and methods
The scope of the track covers among others quantum simulations, quantum algorithms, ɑnd quantum machine learning algorithms with a focus on application in Physics ɑnd Medicine.
List of topics:
- quantum machine learning,
- quantum simulations,
- quantum ɑnd quantum-inspired computing algorithms
-
Machine Learning in Physics
The scope of the track covers among others machine learning algorithms with a focus on application in Physics.
List of topics:
- machine learning methods in high-energy physics ɑnd astrophysics,
- generative models for fast simulations both in particle physics
-
Machine Learning in Medicine
The scope of the track covers among others machine learning algorithms with a focus on application in Medicine.
List of topics:
- machine learning methods in medical applications,
- generative models for fast simulations both in medicine,
- novel methods in medical imaging
-
High Performance Computing
The scope of the workshop covers among others High-Performance Computing (HPC) in physics ɑnd medicine, in particular on heterogeneous platforms such as FPGA ɑnd GPU.
-
Medical imaging
