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Contents:
Chicago, IL – July 16, 2026 – We are excited to welcome QMill Circuit Compression to qBraid Lab. Built by the team at QMill in Espoo, Finland, Circuit Compression is an AI-powered quantum circuit optimization service, and it is now available as a prepackaged environment to the thousands of developers, researchers, and enterprise teams building on qBraid.
QMill Circuit Compression is a record-breaking method for shrinking quantum circuits while preserving their full functionality. By reformulating compression as an AI-driven optimization problem, trained on the LUMI supercomputer, the service typically delivers a 20–50% reduction in gate count and circuit depth, and has outperformed previous state-of-the-art optimizers across multiple benchmarks. Users can choose to focus on reducing 2-qubit gates, circuit depth, or total gate count.
For developers, that translates directly into results that matter on today’s hardware:
We’ve worked with QMill to make getting started as frictionless as possible. Launching the compression project from qBraid Explore clones the example notebooks into your Lab workspace and installs the QMill QAS SDK environment automatically — no manual setup required. From there, developers activate the environment, authenticate with a single device-code login, and start submitting circuits:
QMill Circuit Compression supports a demo mode for quick experimentation as well as full HPC runs on the LUMI supercomputer and AWS Parallel Computing Service, with configurable gate sets, GPU allocation, and live progress monitoring. Example notebooks are open source and available in the QAS SDK repository.
“Circuit compression is one of the most effective ways to get more out of today's noisy hardware, and QMill's results speak for themselves. Having QMill's compression on qBraid Lab means our users can run it on their own circuits right in the workflows they already use,” said Ryan Hill, CTO at qBraid.
“We are happy that QMill Circuit compression is easily accessible for one of the most active developer communities in quantum. Our method has outperformed the previous state of the art optimizers across multiple gate sets, and it's now just a click away for qBraid Lab users. We're excited to see how the community puts it to use,” said Janne Heikkinen, Chief Product Officer at QMill.
qBraid Lab brings the best tools in the ecosystem into one workspace, so developers can reach for them without leaving the environment they already work in. The QMill team has built deep expertise in quantum circuit optimization, and bringing their compression service to qBraid Lab puts it in front of a large community of developers who can put it to work. For enterprise teams evaluating quantum for real problems, compression is one of the most practical levers available today for getting more out of current hardware.
Launch QMill Circuit Compression on qBraid Lab: account.qbraid.com
Learn more about QMill Circuit Compression: qmill.com
Explore the open-source SDK: github.com/qmill-org/qas-sdk
About qBraid
qBraid is a quantum computing platform providing cloud-based access to QPUs, HPC, and a full scientific software stack with over 29,000 developers. With partnerships across IBM, IonQ, Rigetti, QuEra, AQT, NVIDIA, and Microsoft, qBraid brings the full quantum software and hardware ecosystem together through a single, unified cloud interface. Learn more at qbraid.com.
About QMill
QMill is a quantum software company based in Espoo, Finland, developing AI-powered quantum algorithms and tooling. Its QMill Circuit Compression service holds world-record results in quantum circuit compression. Learn more at qmill.com.
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