High-quality quantum computers
Research Project, 2025
– 2026
We will plan an excellence cluster that leverages existing Swedish strengths to build high-quality quantum computers. Emerging quantum technologies make use of quantum phenomena like entanglement and superposition; quantum computing is widely projected to have the greatest impact of these technologies. If components and operations in a quantum computer are of high enough quality, these quantum phenomena can be harnessed to, e.g., simulate chemistry for medicine and materials science, solve optimization problems in logistics and finance, and expand the capabilities of machine learning. Quality is key here; only for low error rates does it make sense to scale up a quantum computer.Our excellence cluster will use hardware platforms where Sweden has proven prominence: superconducting qubits at Chalmers (main thrust), trapped ions at Stockholm University, photonics at KTH, and rare-earth ions in Lund. We aim for world-leading quality across the board. The applicants and additional partners are a mix of theoreticians and experimentalists from Swedish and international universities, with expertise spanning hardware, modelling, software, materials science, societal impact of technology, and more. We will bring together the quantum-computing community in a large workshop, possibly with other planned clusters, identify directions and topics, and then analyze specific areas in smaller sessions. The applicants will meet regularly online throughout, and prepare the final report.
Participants
Anton Frisk Kockum (contact)
Chalmers, Microtechnology and Nanoscience (MC2), Applied Quantum Physics
Göran Johansson
Chalmers, Microtechnology and Nanoscience (MC2), Applied Quantum Physics
Giovanna Sammarco Tancredi
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology
Collaborations
Royal Institute of Technology (KTH)
Stockholm, Sweden
Stockholm University
Stockholm, Sweden
University of California
Oakland, USA
University of Copenhagen
Köbenhavn, Denmark
Funding
Swedish Research Council (VR)
Project ID: 2025.07614
Funding Chalmers participation during 2025–2026