Nathan Lacroix wins Division of Quantum Information Thesis Award of the American Physical Society

We are proud to announce that Nathan Lacroix from our Quantum Device Lab and the Quantum Center won the Division of Quantum Information (DQI) Thesis Award of the American Physical Society! Nathan concluded his thesis on “Quantum Error Correction with Superconducting Circuits” in 2025 and now works at Google Quantum AI. The award recognizes doctoral thesis research of outstanding quality in quantum information science and technology, and encourages effective presentation of research results. Congratulations Nathan! Picture credits: ETH Zurich/Daniel Winkler

Functional building blocks for lattice-surgery on superconducting qubits

Innovative solutions for quantum error correction are needed to implement quantum computing, which requires the use of hundreds of logical qubits in a fault-tolerant manner. Researchers from our group, in collaboration with the theory team of Professor Markus Müller at RWTH Aachen University and Forschungszentrum Jülich, have now demonstrated a technique that makes it possible to perform a quantum operation between superconducting logical qubits while correcting for potential errors occurring during the operation. The results were just published in Nature Physics. This demonstration of lattice surgery on superconducting qubits marks an important step towards the ambitious goal of building useful quantum computers.

New quantum computing project launched

The Quantum Device Lab has been granted the project SuperMOOSE by IARPA, the US research funding agency. Coordinated by our group, the project aims to establish a connection between two error-corrected qubits, laying the foundation for future quantum computers. Our team collaborates with researchers from MIT, Forschungszentrum Jülich, Université de Sherbrooke in Canada and two industry partners, Zurich Instruments and Atlantic Quantum.