The convergence of Quantum with AI
Qubits built from superconducting circuits cooled to near absolute zero. The most industrially mature approach, favoured by IBM, Google, and Rigetti; fast gates, but short coherence times and demanding cryogenics.
62 stories
IBM and Qedma demonstrated quantum advantage in simulating the Floquet Ising model on a superconducting quantum processor, using Qedma's error mitigation to extract accurate dynamics beyond classical verification.
This could catalyze adoption of quantum simulation for short-time dynamics in materials science, as error mitigation proves sufficient to extract physically meaningful results on near-term devices.
IBM will install a Quantum System Two, its latest superconducting system with the Nighthawk processor, at the Swiss National Supercomputing Centre by the end of 2026. The installation is part of a defence-offset agreement with armasuisse and anchors a new innovation hub at ETH Zurich run with Lockheed Martin. The partners plan joint research in quantum sensing, additive manufacturing, and AI-adjacent algorithms.
The Zurich hub could become an operational testbed where Lockheed Martin and Swiss researchers run defence-relevant quantum sensing and additive-manufacturing algorithms on IBM's Nighthawk processor without moving data or hardware across US export boundaries.