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IBM will make 20-qubit quantum computing machine available as a cloud service by end of 2017 and unveils 50-qubit quantum computing prototype

Ron Miller / TechCrunch :

TechCrunch Ron Miller

Context & Ripple Effects

IBM's quantum program has been climbing a steady ladder of public access: in 2016 it opened a five-qubit machine as a free cloud service for students and researchers, and this announcement moves that same cloud-delivery model to a 20-qubit system while showing off a 50-qubit prototype behind it.

The significance is that IBM is treating qubit count as a published roadmap rather than a lab result — a cadence that continued with the 53-qubit machine opened for external use in 2019 and now runs all the way to the planned fault-tolerant IBM Quantum Starling targeted for 2029. Each step keeps IBM's hardware claims visible to the developer base its cloud service cultivates.

First-order effects

  • Researchers and developers on IBM's cloud gain roughly four times the qubits of the 2016 five-qubit service, letting them run experiments that were previously out of reach without building their own hardware.
  • The unveiled 50-qubit prototype signals to customers and rivals that IBM's next generation is already on the bench, not just on slides.

Second-order effects

  • Rival quantum efforts face pressure to match IBM's cloud-access model, since free or cheap remote access is how IBM locks in the researcher community that will define early use cases.
  • Cloud providers and enterprise buyers can begin budgeting for quantum as a rented resource alongside classical compute, shifting demand from bespoke lab installations toward platform subscriptions.

Third-order effects

  • If the doubling cadence holds, quantum computing consolidates into a utility delivered over cloud platforms, with the eventual destination being fault-tolerant systems like the planned Starling rather than today's noisy prototypes.
  • Whoever owns the access layer — as IBM does with its quantum cloud — accumulates the developer ecosystem and benchmark data that shape which algorithms and vendors matter when fault tolerance arrives.

The trend: Quantum computing is moving from laboratory hardware to cloud-delivered platforms, with IBM publishing a qubit-count roadmap that runs from the 2016 five-qubit service toward fault-tolerant machines.