Quantum computers can revolutionize the discovery of drugs, material design and fundamental physics – that is, if we can act reliably.
Some problems that would take conventional billions of computers to solve would take a quantum computer for only many hours. However, these new processors are more susceptible to noise than conventional. If we want quantum computers to be more reliable, especially on a scale, we must carefully identify and correct these mistakes.
IN Article published today in natureWe introduce Alphaqubit, a decoder based on AI, which identifies quantum computing errors with the latest accuracy. This cooperation combined Google Deepmind knowledge in the field of machine learning and knowledge about the amendment to Google Quantum AI errors to accelerate the progress in building a reliable quantum computer.
Accurate error identification is a key step towards creating quantum computers capable of making long calculations on a large scale, opening the door to scientific breaks and many new areas of discovery.
