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Poland's economy has grown to become the world's 20th largest, driven by strong institutions and EU membership, with notable advances in AI and quantum computing.
Ewin Tang developed a groundbreaking classical algorithm for recommendation systems that matched quantum performance, challenging quantum advantage assumptions. She was awarded the 2025 Maryam Mirzakhani New Frontiers Prize for her contributions to bridging classical and quantum computing.
DeepMind highlights the expanded impact of AlphaEvolve, a Gemini-powered coding agent, demonstrating its ability to optimize algorithms for genomics, grid optimization, earth sciences, quantum physics, and mathematics.
Google DeepMind highlights the broad impact of its Gemini-powered coding agent, AlphaEvolve, demonstrating significant advancements in genomics, grid optimization, earth sciences, and quantum physics research.
This paper introduces the Generative Quantum-inspired Kolmogorov-Arnold Eigensolver (GQKAE), a parameter-efficient architecture that replaces traditional neural components with Kolmogorov-Arnold modules to significantly reduce memory usage and improve convergence in quantum chemistry simulations.
MIT and IBM have launched the MIT-IBM Computing Research Lab to advance joint research in AI and quantum computing. The lab aims to redefine computational foundations and accelerate the integration of these technologies for real-world applications.
An analysis clarifies that quantum computers do not pose a threat to 128-bit symmetric cryptographic keys like AES-128, contrary to common misconceptions about Grover's algorithm. The article explains why symmetric key sizes do not need to change as part of post-quantum transition efforts, aligning with expert and standardization body consensus.
Researchers from University College London published findings in Science Advances showing that a quantum computer connected to a supercomputer at the Leibniz Supercomputing Centre can enhance AI model predictions for complex fluid dynamics simulations, demonstrating practical quantum advantage over classical computing alone.
DARPA announces that combining different types of qubits may be more effective for quantum computing than using homogeneous qubit systems, signaling a shift in quantum hardware development strategy.
MIT.nano announced that 16 new startups have joined its START.nano accelerator program in 2025, focusing on hard-tech innovations in health, climate, energy, and quantum computing.
Google CEO likens today's quantum computing stage to AI in 2015, while Motley Fool pitches 7 quantum-related stocks as a "Tier ZERO" investment opportunity projected to unlock $700B by 2035.
Google Quantum AI researchers explain quantum mechanics basics, qubit superposition, and how early quantum computers could one day simulate molecules for drug screening.