Quantum machine learning and complex quantum networks
The core fields of research of our group are quantum machine learning and complex quantum networks. Our interestes also include adjacent topics such as quantum computing. We are part of the Laboratory of Theoretical Physics, University of Turku.
The group leader is Johannes Nokkala. You will find contact details behind the link. Alternatively, drop by in the office 138 in Quantum.
Our publications are on Google scholar .
Research & teaching
Our main research interest is currently quantum reservoir computing, a paradigm for harnessing quantum dynamics for solving machine learning tasks. The working principle is conceptually simple: drive the dynamics with a time series of interest and post process the response to accomplish, e.g., chaotic time series forecasting. The mild requirements facilitate harnessing a great variety of different systems. Quantum reservoir computing is appealing due to its suitability to currently available hardware, remarkably fast training, rapidly growing capacity to process information, and ability to coherently process also quantum information to accomplish tasks without a classical counterpart. In particular, it is completely immune to, e.g., the infamous barren plateaus phenomenon plaguing quantum neural networks. Speaking of networks, we have also recently published a topical review concerning research in the intersection of quantum physics and network theory.
Teaching currently includes the advanced level course Seminar in Theoretical Physics. A new advanced level course on quantum machine learning is planned.
BSc & MSc thesis opportunities
This group is the perfect choice for you if you are looking for a BSc or MSc thesis in theoretical physics, and you are interested in the following or similar topics:
- Quantum machine learning, especially quantum reservoir computing. Multiple theses on this topic are currently underway.
- Complex quantum networks, especially in the context of quantum key distribution, entanglement distribution, networks of interacting quantum systems, quantum walks, state transfer, quantum-applied network theory. See example thesis.
- Quantum computing, including the simulation of quantum hardware and its use over cloud. See example thesis.
- We are also open for other suggestions!
For further information, contact the group leader.
Join as a PhD student
Our research is currently heavily focused on quantum reservoir computing, especially in quantum optical platforms. If you have a MSc in theoretical physics and are interested to join us to work on a strong candidate for a future quantum technology, contact the group leader. We can discuss the prospects of a research plan or consider a research proposal pitched by you. Other topics, including quantum networks and quantum computing, are welcome!
Collaboration
The group has contacts and collaboration with multiple national and international researchers from Finland, Norway, Sweden, Denmark, France, Spain, and UK with expertise spanning from network theory to quantum computing and from reservoir computing to quantum optics. Whether you wish to work with models corresponding to superconducing qubits, continuous variables of optical modes, or pure theory, there will be ample opportunities to collaborate and grow your network.