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Interview
At the APS March Meeting, Qolab presented a rare live demonstration of quantum hardware control: a real-time calibration of superconducting qubits executed remotely on a Qolab QPU in Madison. With no pre-recorded steps or fallback sequences, the experiment unfolded in front of a live audience—and ran flawlessly.
The calibration sequence was powered by Quantum Machines’ QUAlibrate platform, enabling complete automation of pulse-level procedures including qubit spectroscopy, Rabi oscillations, drag tuning, randomized benchmarking, and coherence measurements. For researchers working hands-on with superconducting qubit systems, the demo provided a clear and realistic view of how robust automation can simplify even the most delicate tuning workflows.
Key Insights
• Live pulse-level control: The calibration ran in real-time on physical hardware, with no manual retuning—showcasing system stability under real operating conditions.
• End-to-end automation: QUAlibrate orchestrated the entire routine—spectroscopy through benchmarking—via an intuitive, menu-driven interface ideal for iterative lab work.
• Infrastructure designed for reproducibility: Qolab’s mount featured short wire bonds, superconducting ground planes, and clean DC routing—reducing noise and thermal instability.
• Practical for multi-qubit scaling: The workflow demonstrated how pulse-level calibration can be structured for repeatability across more complex devices.
• Enables state-of-the-art experimentation: The setup supports researchers in conducting high-fidelity experiments with direct pulse-level access and minimal overhead.
This wasn’t a proof of concept—it was a working system. And by running it live, Qolab and Quantum Machines demonstrated what’s possible when precision hardware and orchestration software are tightly integrated. The demo provided not just confidence in the tools—but a practical benchmark for how advanced quantum calibration can be reliably performed, even in front of a crowd.
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CTO
BIO
John Martinis is a pioneering experimental physicist in quantum computing, best known for leading Google’s Quantum AI team in achieving quantum supremacy in 2019. With decades of experience in superconducting qubits, he has held positions at NIST and UC Santa Barbara, where he advanced quantum device engineering and error correction strategies. Today, he is co-founder of **Qolab**, a quantum hardware startup focused on building scalable, low-error quantum systems through deep industry collaboration and system-level design.
Product Solutions Physicist
BIO
Dr. Lorenzo Leandro is a Product Solutions Physicist at Quantum Machines, where he leads product outreach and solutions for the photonics market. With a Ph.D. in Experimental Quantum Optics from the Technical University of Denmark and years of experience in scientific communication, he strives to connect scientific endeavor and results with the vision of quantum computing technologies, engaging and inspiring the current and next generations of scientists.
Have a specific experiment in mind and wondering about the best quantum control and electronics setup?
Want to see what our quantum control and cryogenic electronics solutions can do for your qubits?