Fleck will use quantum computing to address three key application domains: contrast agent discovery; drug design; and brain cancer detection using ultra-low field (ULF) MR imaging. The project will build a scalable, integrated quantum-AI platform which will automate algorithms between classical (CPU, GPU) and quantum (QPU) resources.
The platform architecture will afford researchers one of the first opportunities to integrate quantum-derived descriptors, molecular dynamics sampling, free-energy calculations and quantum machine learning models into a single design loop. This endeavour will accelerate the development of Switzerland’s first quantum computer, improve application technologies for Switzerland’s only ULF MRI scanner and be the first in the world to provide open-source platform code for quantum-AI single job execution.
Main objectives and vision
To create one-job quantum-AI computing resources that let researchers run calculations for novel anticancer drugs and contrast agents for ultra-low field MRI.
Open-source code
Quantum, AI and classical computing run as a single job, with open-source code.
Shared pipeline
Quantum algorithms for glioblastoma drug and MRI contrast agent design.
Swiss ecosystem
Hardware, software and end users from all partners on one platform.
