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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.
Free up your team, Boulder Opal automates quantum calibration
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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