Event JSON
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"Google's AI Breakthrough Brings Quantum Computing Closer to Real-World Applications"
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"The new AI system, AlphaQubit, uses a sophisticated neural network architecture to identify and correct quantum errors, showing 6% fewer errors than previous best methods in large-scale experiments. The system is designed to work with quantum systems ranging from 17 qubits to 241 qubits, suggesting it could scale to larger systems needed for practical quantum computing. However, the system still faces significant hurdles before practical implementation, including speed optimization, scalability, and integration."
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"content": "nostr:nprofile1qy3hwumn8ghj7un9d3shjtt5v4ehgmn9wshxkwrn9ekxz7t9wgejumn9waesqgp2xxkjwclvq23ath8wunczcrxzqrv9dkag8vj8prufrujh4gaa95mzysv4\nGOOGLE'S AI BREAKTHROUGH BRINGS QUANTUM COMPUTING CLOSER TO REAL-WORLD APPLICATIONS\n\nhttps://img.decrypt.co/insecure/rs:fill:1024:512:1:0/plain/https://cdn.decrypt.co/wp-content/uploads/2024/11/ComfyUI_00404_-gID_7.png@png\n--\n✍️ Google researchers have developed a new AI system, AlphaQubit, that can accurately identify and correct errors in quantum computers, making them more practical for real-world use.\n--\n👉 AlphaQubit uses a two-stage approach to achieve high accuracy\n👉 The system first trains on simulated quantum noise data, then adapts to real quantum hardware using a limited amount of experimental data\n👉 AlphaQubit can handle complex real-world quantum noise effects, including cross-talk between qubits, leakage, and subtle correlations between different types of errors\n👉 The system still faces significant hurdles before practical implementation, including speed optimization, scalability, and integration\n\n--\n#technology\n--\nnostr:nevent1qvzqqqqqqypzq23345nk8mqz502aemhy7qkqessqmptdh2pmy3cglzgly4a280fdqy3hwumn8ghj7un9d3shjtt5v4ehgmn9wshxkwrn9ekxz7t9wgejumn9waesqgqxa6mxnj25066kpeykv5fjmrd9sjmsch9uantmulg359nhsy08xvnp238c \n ",
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