Deputy Director of the Digital Operations Division at the AP-HP
Jean Langlois-Berthelot
Doctor of Applied Mathematics
Key takeaways
While quantum computing is a major technological revolution, it also represents an unprecedented threat to digital security.
A quantum computer could, in a matter of hours, solve asymmetric encryption algorithms (which secure electronic communications)
that would take conventional computers thousands of years to solve.
The development of such machines could have disastrous consequences for governments (industrial espionage, manipulation of elections, etc.).
It is therefore imperative that governments adopt post-quantum cryptography by developing encryption algorithms that are resistant to quantum attacks.
To guarantee the security of government services, a thorough assessment of the risks associated with quantum technologies must be carried out.
Assistant Professor of AI and Quantum Physics at Ecole Polytechnique (IP Paris)
Key takeaways
There is a belief that quantum computing could revolutionise artificial intelligence and in particular deep learning.
However, quantum computing will not necessarily advance AI because it encounters difficulties in processing information from neural networks and voluminous data.
In particular, quantum computers are very slow and only very short calculations can be carried out without breakdowns.
However, AI machine learning is an essential tool for learning how to design and operate quantum computers today.
Founding Director of the EDHEC Quantum Institute and Director of Research at the CFA Institute Research Foundation
Key takeaways
In finance, quantum technologies could overcome some of the limitations of classical computing architectures that financial institutions currently face.
Properties such as superposition, interference, and entanglement could be of interest in finance, but must be measured against real-world findings of current research.
A quantum advantage in finance would consist of improving portfolio returns or reducing risk, though the associated costs must be carefully considered.
Techniques such as quantum approximate optimisation algorithms or QUBO formulations could offer promising prospects in this area.
However, caution is warranted regarding “quantum washing” — the tendency to artificially construct use cases in order to highlight the supposed advantages of quantum computing.