A new arXiv paper details a comprehensive approach to scaling quantum computers from hundreds to millions of qubits. The research proposes leveraging existing semiconductor fabrication techniques to improve qubit quality and implementing systems engineering strategies for better hardware. It also advocates for distributed, heterogeneous quantum-classical computing and introduces high-performance architectures for quantum-probabilistic computing with custom accelerators. AI
IMPACT This research outlines a path for scaling quantum computers, which could significantly accelerate AI and machine learning tasks that are currently intractable for classical systems.
RANK_REASON The item is an arXiv preprint detailing a research paper on quantum computing. [lever_c_demoted from research: ic=1 ai=0.7]
- arXiv
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