Quantum Machines QUAlibrate Automates Calibration, Boosting Novera Fidelity to 99.5%

Rigetti’s commercially available Novera quantum processor has achieved 99.5% median two-qubit gate fidelity when operated with Quantum Machines’ OPX1000 platform and QUAlibrate software, a result Quantum Machines believes represents the highest full-system Novera performance to date with a control systems partner. This milestone demonstrates stable, high-performance operation of an advanced superconducting quantum processor outside of its original developer’s environment, signaling progress as quantum computing expands beyond internal labs. The nine-qubit Novera is designed for on-premises deployment and is currently being utilized by organizations including Fermilab, Montana State University, Horizon Quantum, and TreQ. “We’ve shown that commercially deployed superconducting quantum processors can now be calibrated and operated at a very high level using Quantum Machines’ Orchestration Platform,” said Yonatan Cohen, CTO of Quantum Machines, adding that this is an important step toward making scalable quantum computing deployable across the broader ecosystem.

OPX1000 and QUAlibrate Achieve 99.5% Fidelity on Novera QPU

A median two-qubit gate fidelity of 99.5% was realized through the integration of Quantum Machines’ OPX1000 hardware and QUAlibrate software, signifying a crucial step toward reliable quantum computation beyond the confines of internal hardware development teams. The Novera is a commercially available nine-qubit superconducting processor intended for on-premises installation, reflecting a move toward broader accessibility of quantum technology for research and development. This achievement isn’t simply about a high percentage; it translates to performing quantum operations with remarkably low error rates consistently across the entire chip, a critical factor for practical applications. Quantum Machines’ team calibrated and operated the full Novera system onsite at Rigetti, reaching 99.5% median two-qubit gate fidelity across all 11 available qubit couplings, and 99% median single-qubit fidelity across all nine qubits. This means the processor was able to perform quantum operations across the full device with consistently low error rates.

Rigetti Computing’s Andrew Bestwick emphasized the significance of this broader adoption, stating, “These results demonstrate the growing maturity of the broader quantum ecosystem and show that high-performance operation can be achieved with external control and software stacks, such as Quantum Machines’ Orchestration Platform.” The workflow involved automated calibration routines and real-time control optimization, highlighting a shift from manual tuning to scalable, automated operation as quantum computing matures.

Novera Platform Demonstrates Scalable Operation Beyond Original Development

The pursuit of practical quantum computing is steadily shifting from isolated hardware development toward broader accessibility and reliable operation; recent results with Rigetti’s Novera processor highlight this transition. Quantum Machines has demonstrated 99.5% median two-qubit gate fidelity, indicating progress toward broader industry adoption. This milestone signifies a move beyond internal calibration and tuning, demonstrating stable, high-performance operation outside of Rigetti’s original development environment, a crucial step as quantum computing expands into research institutions and commercial settings. This success is particularly notable given the historical reliance on manual, internal workflows for achieving top-tier superconducting quantum performance. Itamar Sivan, CEO of Quantum Machines, emphasized that “As systems scale, calibration and orchestration become fundamental infrastructure challenges,” suggesting that future progress will depend on both improved qubits and the ability to reliably operate complex systems across diverse environments.

We’ve shown that commercially deployed superconducting quantum processors can now be calibrated and operated at a very high level using QM’s Orchestration Platform.

Yonatan Cohen, CTO of Quantum Machines
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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