Quantum computing with neutral atoms: new strategies and perspectives (23'+7')

• Andrea Alberti (MPQ)

**Abstract**: Quantum computing holds the potential to efficiently solve problems that are currently intractable for classical computers. However, to surpass classical computing capabilities, quantum computers must be able to handle a large number of qubits—a major challenge for any quantum computing platform. Ultracold atoms trapped in optical lattices provide a universal quantum computing platforms with gate quantum fidelities exceeding 99% and the potential to scale up to thousands of qubits. In this colloquium, I will outline the Munich Quantum Valley (MQV) plans to develop a quantum computer using Rydberg excitations of strontium atoms, review the current progress in cooperation with our MQV partners, and explore future perspectives in the field. **Short bio**: Andrea Alberti (born 1982) is a Senior Scientist (Akademischer Rat) at the University of Munich (LMU) and a group leader in the Quantum Many-Body Systems Division at the Max Planck Institute of Quantum Optics. His primary research focus is quantum computing with neutral atoms. Prior to his current position, Andrea gained over a decade of experience as a group leader at the University of Bonn, where he conducted experiments with single neutral atoms trapped in optical lattices. Andrea received the Rudolf Kaiser Prize 2017 for his experimental tests of quantum superposition states with neutral atoms. He also served as a member of the Young Academy of Sciences of North Rhine-Westphalia from 2018 to 2021.

Quantum computing for solving industrial optimization problems: Potential and pitfalls (23'+7')

• Jeanette Lorenz (Fraunhofer IKS)