Quantum algorithms, sensors and communications for life sciences and healthcare
We apply quantum technologies to help improve the quality of people’s lives and of the environment. Together with partners, we are identifying, promoting and unlocking the potential of quantum technology in life science applications and are developing a platform to integrate quantum computing into industry.
Research focus areas
Quantum and AI hybrid algorithms and systems
Our team explores methods for short term use of imperfect quantum computers, which currently operate in the Noisy Intermediate Scale Quantum era. These methods include parallel quantum computing approaches, quantum simulations or hybrid quantum-classical algorithms. We study how to scale up quantum computing systems.
Quantum communication and encryption
Securing healthcare data in hospitals.
Drug and material discovery
We are developing a solver based on AI and quantum computing engines for de novo molecular structure, dynamics and interactions elucidation from various spectral data. It enables high-throughput advantage for time-sensitive analytics required in a variety of life science applications such as drug and material discovery. Usage ranges from efficient energy harvesting and storage to uncovering novel pharmaceutical drug candidates.
Quantum sensing
We also investigate more sensitive sensing devices using advanced quantum sensors to detect or visualize human physiology accurately at the body or molecular levels. Our work focuses on developing the next generation of (bio)medical quantum sensors for healthcare. Our aim is to speed up and improve patient care decisions, starting with diagnosing cardiovascular diseases.
Open science and venture building
We are committed to open science. We use arXiv and Zenodo as freely accessible repositories for sharing our research publications and data sets when applicable. Our measurements and data analysis codes are made available online to allow scientists to reproduce the results from our publications.
We launched HackLife to bring top global AI, quantum computing and healthcare experts from both industry and academia to explore solutions to challenges from drug discovery to pharmacovigilance, integration of clinical, lab, digital and multi-omics data, prediction of pandemics, radiology, and healthcare access in developing regions. Please contact us if you are interested in participating.
Stories
Collaboration
If you are interested in collaborating on academic or industrial projects, please contact clement.javerzac@fhnw.ch. We can run various types of projects such as Innosuisse projects, direct industrial research projects and consulting projects. We also support the creation and development of start-ups. Our knowledge transfer and IP policies are highly favorable for external collaborations.
If you are interested in proposing a subject for a student project or internship, please contact clement.javerzac@fhnw.ch.
Contact
Prof. Dr. Clément Javerzac
- Phone
- +41 61 228 51 89
- clement.javerzac@fhnw.ch