A university-industry team demonstrated a scalable logical qubit using surface code error correction, advancing quantum computing and opening new paths for quantum AI.
Scalable Logical Qubit Demonstrated: What It Means for Quantum Computing and Quantum AI Read More »
Quanscient and Haiqu demonstrated a 15-step quantum fluid benchmark on IBM Heron R3 using OSSLBM, cutting qubit needs and advancing industrial CFD on quantum hardware.
Quanscient and Haiqu Run 15-Step Quantum Fluid Benchmark on IBM Heron R3 Read More »
QuiX Quantum reports the first ‘below-threshold’ photonic error mitigation using photon distillation with NASA, cutting errors and lowering costs for scalable quantum AI.
University of Manchester researchers developed an AI model that stabilizes molecular simulations at extreme temperatures, enabling faster, more reliable drug and materials research and paving the way for quantum-enhanced simulation.
AI Breakthrough Stabilizes Molecular Simulations at Extreme Temperatures Read More »
New scalable error-mitigation techniques reduce logical noise on medium-scale quantum processors, enabling deeper variational circuits and nearer-term quantum AI gains.
Scalable Error-Mitigation Paves Way for Deeper Quantum Circuits Read More »
A concise update on breakthroughs in quantum computing that affect AI: improved qubits, error mitigation, hybrid systems and near-term applications investors and builders should track.
How Recent Quantum Computing Advances Are Accelerating AI Read More »
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.
Quantum Computing Takes a Leap: Functional Machines Possible by 2030 Read More »
SEALSQ commits $200M to accelerate sovereign quantum infrastructure with QSOC satellites, QKD, QRNG, secure semiconductors and QaaS deployments.
SEALSQ Expands Quantum Fund to $200M to Build Sovereign Quantum Infrastructure Read More »
How superconducting qubits and the SqDRIFT algorithm enabled C13CL2, a half-Möbius molecule, opening new paths for materials, sensors, and drug discovery.
A concise look at Google Quantum AI’s dual-path bet on superconducting qubits and neutral atoms, what each offers, and implications for AI and machine learning by 2030.
Google’s Dual Quantum Strategy: How Superconducting Qubits and Neutral Atoms Advance AI Read More »
