Researchers develop revolutionary algorithmic fault tolerance technique that slashes quantum error correction time by 100x, detecting and fixing errors during computation instead of pausing for checks, dramatically accelerating the timeline for practical large-scale quantum computing.
Amazon holds 850,000 shares in quantum computing company IonQ as the stock rockets 90% since September, with IonQ's room-temperature trapped-ion technology offering superior accuracy over competitors and the CEO projecting $1 billion in annual sales by 2030.
Replit generates 15x more revenue than competitor Lovable despite lower traffic while ranking third in AI startup spending, as open source AI models now cost organizations up to $30,000+ monthly in compute expenses that often exceed proprietary alternatives.
Scientists develop revolutionary molecular qubits using erbium that seamlessly connect light and magnetism at quantum frequencies, potentially enabling ultra-secure quantum internet through existing fiber-optic networks while serving as biological quantum sensors.
Scientists achieve breakthrough by successfully transmitting quantum data over standard fiber-optic internet cables for the first time, using a revolutionary Q-Chip that allows routers to navigate quantum signals without destroying them, proving quantum communications can operate on existing networks rather than requiring dedicated infrastructure.
MIT researchers develop SCIGEN, an AI tool that generates millions of quantum materials with exotic properties like Kagome lattice structures for quantum computing, successfully creating two new compounds with predicted magnetic characteristics.
Tech giants pump over $70 billion into the U.K. for AI and quantum computing initiatives as Trump and Starmer near landmark deal on technology collaboration.
In a groundbreaking partnership, Saudi Aramco and Google AI firm SandboxAQ use quantum computing to transform carbon emissions into profitable products, making fighting climate change lucrative for oil giants and accelerating the shift to cleaner energy.
The US government initiates an 'AI Manhattan Project' consolidating private sector resources and investing a fraction of GDP, aiming for a 2e29 FLOP training run by 2027, around 500 times larger than the most compute-intensive model to date and 10,000 times larger than GPT-4.
The University of California awarded $18 million to fund ambitious AI research projects in genomics, quantum materials, and geothermal energy, bringing together expertise from UC campuses and national labs to accelerate scientific breakthroughs and innovation at unprecedented scale.