Quantum computers have the potential to revolutionize drug discovery, materials design, and fundamental physics if we can make them work reliably.
Certain problems that would take traditional computers billions of years to solve can be solved in just hours with quantum computers. However, these new processors are more prone to noise than their predecessors. These errors must be accurately identified and corrected, especially if we want to increase the reliability of large-scale quantum computers.
In a paper published today in Nature, we introduce AlphaQubit, an AI-based decoder that identifies errors in quantum computing with state-of-the-art accuracy. This collaboration brings together Google DeepMind’s machine learning knowledge and Google Quantum AI’s error correction expertise to accelerate progress in building reliable quantum computers.
Pinpointing errors is a critical step toward enabling quantum computers that can perform long-running calculations at scale, opening the door to scientific breakthroughs and many new areas of discovery.
