Written by:
Arjun Jayaraman
Supervised by: Elise Alsteens and Kevin Whitehead
Edited by: Edoardo Dall’Amico
Abstract:
Quantum computing, or computing powered by qubits, can resolve many issues with classical computing. The latter lacks the processing power required to create optimal logistics solutions, accurately simulate molecular behaviour in materials science research, fuse information from multi-modal sensors for predictive analytics, or resist attacks on neural networks. Error-corrected quantum computers can use algorithms like Quantum Phase Estimation and Quantum Variational Classifiers to resolve these issues. Europe has invested heavily in the quantum computing sector, having inaugurated two Noisy Intermediate-Scale Quantum computers in 2025. However, it must resolve issues of fragmentation, talent retention, and supply chain stability to retain its long-term quantum edge.
