Computing

NTNU and the Niels Bohr Institute report a method to track quantum data loss in superconducting qubits 100x faster, speeding the path to reliable quantum AI.

A university-industry team demonstrated a scalable logical qubit using surface code error correction, advancing quantum computing and opening new paths for quantum AI.

QuiX Quantum reports the first ‘below-threshold’ photonic error mitigation using photon distillation with NASA, cutting errors and lowering costs for scalable quantum AI.

New scalable error-mitigation techniques reduce logical noise on medium-scale quantum processors, enabling deeper variational circuits and nearer-term quantum AI gains.

Caltech and Oratomic say 10,000 to 20,000 qubits could enable fault tolerant machines by 2030. What this means for security and Quantum AI.

How superconducting qubits and the SqDRIFT algorithm enabled C13CL2, a half-Möbius molecule, opening new paths for materials, sensors, and drug discovery.

IQM raises €50M to scale quantum processor R&D, expand global operations and fast-track commercial quantum AI use cases.

Decision-makers must act now on the ‘harvest now, decrypt later’ risk. Learn about PQC, QKD, NIST standards (ML-KEM, ML-DSA, SLH-DSA) and practical next steps.

Fujitsu and Osaka University combine STAR Architecture Version 3 and Molecular Model Optimization to make complex chemical calculations feasible on early-FTQC.

Researchers unveil a scalable qubit architecture that cuts error rates and extends coherence times, advancing practical quantum computing and AI use cases.