Our journey

Google launches the Quantum AI Lab, a research initiative in partnership with NASA and D-Wave to explore quantum algorithms (video).

Google partners with UCSB to open a quantum hardware lab for building new quantum processors. Google’s decision to partner with UCSB was influenced by the research team’s history in developing superconducting processors for error correction.

Google publishes a paper that outlines theory performing a beyond classical computation by sampling random circuits. Original theory is developed into an experimental blueprint using 9 qubits.

Google releases Cirq, a python library for writing, manipulating, and running quantum circuits on quantum computers and simulators, in order to improve the productivity of NISQ algorithm developers and researchers.

The Sycamore processor performs a target computation in 200 seconds that would be impractical with algorithms and supercomputers available at the time (blog).

The Quantum Computing Service enables scientists to remotely run quantum algorithms on Google’s processors. One of the first experiments demonstrated the largest quantum chemistry computation to date.

The prototype will demonstrate a decreasing logical error rate as the code distance increases.

The logical qubit will have 10^3 qubits.

The logical gate will have 10^4 qubits.

The quantum computer will run logical gates and demonstrate reduced logical error.