Part 3/8:
Despite ongoing efforts, current quantum computers operate with about one error per 1,000 operations. Achieving the reliability necessary for significant quantum computations requires this error rate to minimize to just one in a trillion—a formidable challenge. One of the toughest hurdles is the decoding process, particularly since the noise affecting qubits is unpredictable.
DeepMind's AlphaQubit Model
Enter AlphaQubit, the innovative neural network developed by DeepMind, designed to address the error correction issue within quantum computing. Drawing an analogy from classical computing, where bits can be encoded with redundancy, AlphaQubit trains on vast datasets to analyze quantum states and identify errors effectively.