The track trains students in the contemporary theory and foundations of quantum-enhanced computing, quantum communications, and quantum information science. This multidisciplinary program bridges the gap between theory and practice when it comes to near-term and existing quantum enhanced technology, including quantum enhanced simulators being built in Russia and abroad.
The track is self-contained and is accessible for students of all backgrounds across the mathematical and physical sciences. It is based on several core computer science techniques and contains segments on proof theory, formal logic, complexity science, the mathematical theory of computation and some techniques from quantum physics. The concepts of the track often reference ideas and concepts from quantum theory and the theory of statistical mechanics and utilises machine learning and tensor network methods.
The track consists of a research project specific to the field of quantum-enhanced technology, and the electives span across both data science, theoretical physics, and applied mathematics. A successful graduate will be able to:
- Solve challenging academic research problems at the theoretical foundations of quantum information and quantum enhanced computation
- Utilise quantum effects for the enhancement of computational tasks such as machine learning, optimisation and the simulation of physical systems
- Perform computer based classical simulations of quantum systems, including HPC simulations of quantum simulators and quantum computers