Wednesday, December 09, 2020

IonQ's roadmap: Quantum machine learning by 2023, broad quantum advantage by 2025

Good news, albeit ambitious plans!

"... IonQ projects that its third next-gen quantum computer coming in 2025 will feature 64 Algorithmic Qubits by employing 16:1 error-correction encoding. In the three years that follow, the Algorithmic Qubits metric will take off further and IonQ will rely on 32:1 error-correction encoding.

“Most people agree at about 72 qubits or so is the place where broad quantum advantage starts,” Chapman said. “That’s where quantum computers start to take on supercomputers. We’re probably looking into a roughly 2024-2025 timeframe for that.  ..."

IonQ's roadmap: Quantum machine learning by 2023, broad quantum advantage by 2025 | VentureBeat IonQ today laid out its five-year roadmap for trapped ion quantum computers. The company plans to deploy rack-mounted modular quantum computers small enough to be networked together in a datacenter by 2023.

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