Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 140+ brilliant minds from over 20 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
One of the goals of the Machine Learning & Optimization team is to estimate efficiently the physical parameters of a cat qubit. This involves designing a physical model, an optimization routine, and a strategy for selecting the next measurement to perform. This strategy may either be a model-based, interpretable routine or a model-free, high-performance neural network.
The goal of the internship is to study and optimise this measurement selection process.
This internship offers a unique opportunity to develop advanced machine learning algorithms and test them directly on quantum hardware. You will collaborate with a young, dynamic and talented team with a wide range of expertise. You’ll gain experience in both research and the practical implementation of these algorithms in real-world quantum systems.