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This technology uses photons as qubits, manipulated on silicon chips for quantum computation, leveraging existing semiconductor manufacturing techniques. Key players include Xanadu, PsiQuantum, and researchers at MIT and the University of Bristol. These processors are primarily in the prototype and early commercialization phase, with companies like Xanadu offering cloud access to their 64-mode Borealis device. In November 2021, Xanadu achieved quantum computational advantage using Borealis to perform Gaussian boson sampling. This approach offers a potential alternative to superconducting or trapped-ion systems, aiming for room-temperature operation.
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Why It Matters
Addresses the scalability and extreme cooling requirements of other quantum architectures, potentially democratizing access to quantum computing. When mainstream, these processors could accelerate drug discovery simulations, financial modeling, and AI algorithms, running complex calculations faster and more energy-efficiently. Chip manufacturers like Intel and Nvidia could win by integrating these, while traditional supercomputer manufacturers might face disruption. Key barriers include photon loss, detector efficiency, and realizing fault-tolerant error correction, with a timeline of 10-20 years for widespread impact. China and the US are heavily competing, and a second-order consequence could be the redefinition of 'Moore's Law' for photonics.
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