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Boulder Opal leverages physics-informed AI to automate the calibration of superconducting quantum processors, reducing device bring-up time from days to under three hours per feedline. This deterministic approach significantly improves median 1-qubit gate fidelity to 99.95% while freeing technical teams from repetitive manual operations. The system's compatibility with existing controllers like Quantum Machines and Qblox facilitates immediate deployment for scaling quantum computing infrastructure.

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Free up your team, Boulder Opal automates quantum calibration

Quantum ZeitgeistSeptember 30, 20263 min read

Boulder Opal automates complex workflows for QuantWare devices, achieving less than 3 hours bring-up time per feedline.

QuantWare has reduced quantum processor bring-up time from days to under three hours per feedline with Boulder Opal, a new autonomous calibration system, the company says. The automation also achieves 99.95% median 1-qubit gate fidelity across an entire device, a key metric for reliable quantum computation. “By encoding physics-informed AI into an autocalibration framework, Boulder Opal is a repeatable, deterministic, and…

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