Rapporteur: Vladimir Radunovic, Geneva Internet Platform
- Quantum technology will allow us to solve very complex problems. Possible applications include optimisation of operations, simulations in chemistry, biology and physics, design of advanced materials, machine learning, and complex quantum networks (‘quantum internet’), as well as breaking (traditional) encryption.
- There is increasing global competition and investment in developing quantum computing for practical use. Current state of the art technology is still very limited and there are no broadly useful applications yet.
- Classical machine learning can help solve complex quantum problems and describe quantum systems. Future steps could include hybrid quantum-classical machine learning, as well as quantum machine learning. Yet quantum supremacy is not so likely soon; to avoid quantum bubble burst (quantum hype), we need to identify the real areas where quantum machine learning outperforms classical machine learning.
- Social challenges due to quantum computing include geopolitical misuse and some sort of ‘armed race’, endangering privacy (due to high ability to break traditional encryption) and disrupting the job market. Society should ‘democratise’ access to quantum technology by all.