The new system developed by Google, 'AlphaQubit,' makes it possible to reduce the error rate in quantum computers by up to 30% compared to conventional methods. Significant improvement in error rates is necessary for the practical implementation of quantum computers, and AlphaQubit achieves high-precision error detection and correction by utilizing artificial intelligence.
This technology is applicable to systems ranging from 17 quantum bits to 241 quantum bits, demonstrating flexibility to scale up. This achievement holds the potential to propel future technological innovations through the co-evolution of AI and quantum computers.
Specific technological advancements brought by AlphaQubit to quantum computing.
AlphaQubit is an AI system that significantly improves the accuracy of error detection and correction in quantum computers. Quantum bits have traditionally faced instability due to external factors such as heat and electromagnetic waves, with error rates of 1 in 100 to 1 in 1,000 being common.
This new system utilizes simulation data to learn noise patterns and has mechanisms to address complex issues such as crosstalk and leakage.

AI has transitioned from the Kakuhen mode to the normal mode. The software has caught up with the semiconductors, Mega -> Potential fish. Megatech is relatively expensive compared to GOOGL.