Quantum Machines hits 99.5% gate fidelity on Rigetti’s Novera QPU
By AI, Created 8:51 PM UTC, May 26, 2026, /AGP/ – Quantum Machines said it operated Rigetti Computing’s commercial Novera superconducting QPU with its OPX1000 hardware and QUAlibrate software, reaching 99.5% median two-qubit gate fidelity. The result underscores how external control and calibration stacks are becoming key to scaling superconducting quantum systems beyond a vendor’s internal lab.
Why it matters: - Quantum computing systems need more than qubits to scale. Control, calibration and automation are becoming core infrastructure for reliable performance across different deployments. - The result suggests commercially available superconducting processors can reach high fidelity with an external control stack, not only with the original hardware developer’s internal workflow. - Quantum Machines said the milestone supports broader industry adoption in national labs and commercial environments.
What happened: - Quantum Machines said it successfully operated Rigetti Computing’s commercially available Novera superconducting quantum processing unit using the OPX1000 hardware and QUAlibrate software. - The system reached 99.5% median two-qubit gate fidelity. - Quantum Machines said the work was done onsite at Rigetti. - Quantum Machines said the same platform is already running with Novera systems at Montana State University, Fermilab and Horizon Quantum. - TreQ selected the QM OPX1000 for its multi-QPU system, which includes the Rigetti Novera, to develop its first Open Architecture Quantum specification.
The details: - Novera is a commercially available 9-qubit superconducting quantum processor designed for on-premises deployment in research and development labs. - The processor uses the same underlying architecture as Rigetti’s larger superconducting quantum systems. - The system hit Rigetti’s 99.5% median two-qubit fidelity target across all 11 available qubit couplings. - The system also reached 99.93% median single-qubit fidelity across all nine qubits. - The calibration workflow included automated calibration routines, parallelized tuning across the device, real-time control optimization and continuous system-level performance monitoring. - Quantum Machines described the workflow as a full-device calibration and control process using its OPX1000 control stack and QUAlibrate software. - Quantum Machines said the result was the highest full-system Novera performance it knows of with a quantum control partner, based on benchmarking data. - Rigetti said Novera was designed to provide flexible access to Rigetti’s superconducting quantum technology. - Quantum Machines said its Quantum Orchestration Platform and Rigetti’s Novera QPU are deployed across organizations including Fermilab, Montana State University, Horizon Quantum and TreQ’s broader multi-QPU system. - Quantum Machines’ technical blog and Rigetti researchers detail the workflow and calibration results in a separate post. - Quantum Machines’ website is available here: Learn more - Quantum Machines’ LinkedIn page is available here: Quantum Machines on LinkedIn
Between the lines: - The milestone reflects a shift in quantum computing from one-off lab tuning to repeatable operation across broader environments. - The competitive value is not only in hardware performance, but also in the software and orchestration layer that keeps the system stable over time. - The result points to a growing market for control stacks that can support multiple qubit modalities and multiple deployment settings.
What’s next: - Quantum Machines said the technical workflow will be covered in more detail in its blog with Rigetti researchers. - The broader test case may help determine how quickly superconducting quantum systems can move into more external, repeatable and scalable deployments. - Quantum Machines said future progress will depend on reliable operation across many environments, not just better qubits.
The bottom line: - Quantum Machines and Rigetti are using the Novera result to argue that high-performance quantum computing is becoming an ecosystem problem, not just a chip problem.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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