Google Quantum AI is a research division of Google focused on developing quantum computing technologies. Started on 2012, it was started by Google scientist Hartmun Neven. Its plan is to eventually build large-scale, error-corrected quantum computers and advance quantum hardware, software, and algorithms for scientific and practical applications beyond the capacities of classical computers.
History In 2006, Google Quantum AI originally started out as an idea by Google scientist Hartmut Neven for how quantum computing might help to accelerate advances in machine learning. In 2014, Google recruited professor John Martinis a prominent physicist at University of California at Santa Barbara and his research team to join in building Google's proprietary quantum computer. In 2019, Google claimed "quantum supremacy". Using their 53-qubit Sycamore processor, they claimed to be able to perform in about 200 seconds a task that they estimated would take the world's most powerful classical supercomputer 10,000 years to solve. In 2023, Google published a paper with the first demonstration of a logical qubit prototype, showing the possibility of suppressing computational errors by scaling up the number of qubits in a scheme known as quantum error correction. The latest quantum computing chip was announced in 2025, named Willow. Willow achieved exponential error reduction. In a maximum complexity benchmark (Random Circuit Sampling), Willow completed a computational task in under five minutes that would take the fastest modern supercomputers 10 septillion ( 10 25 {\displaystyle 10^{25}} ) years.
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