Oliver Dial, IBM Fellow, is giving the keynote for Q2B 2024.
He describes what is needed for practical quantum computers.
IBM achieved the minimum of more accurate answers than classical (regular computers). However, they are not yet to the scale needed for practically useful problems.
How much scaling? Things start getting useful with about 100 times more scale and definitely at 1000 times more scal.
IBM has improved error correction beyond the surface code to the gross code.
Scale quality and speed matter for logical qubits as well.
Gross code can achieve logical error rates of one in a trillion. A trillion operations to one error.
Gross code can achieve low error rates with 14X fewer qubits than surface code systems.
IBM thinks they will have practical error corrected scale by 2029. IBM already has 3 of 5 needed things needed for this goal.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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