Pasqal Launches AI Workflow for Cloud Quantum Experiments

Insider Brief

• Pasqal has launched an AI-assisted workflow on Pasqal Cloud that helps users turn scientific ideas or published protocols into experiments executed on quantum processing units (QPUs).
• The workflow coordinates protocol formalization, quantum job preparation, emulation-based validation, cloud submission and processing of results into scientific observables.
• The plugin works with agentic coding environments including Claude Code, Cursor and Codex, and supports three Pasqal Cloud QPUs in France, Canada and Saudi Arabia.

PRESS RELEASE — Pasqal (Nasdaq: PSQL), a global leader in neutral-atom quantum computing, today announced the availability of an AI-assisted workflow on Pasqal Cloud. Available as a plugin for leading agentic coding environments, the new feature can take a well-defined scientific idea to a running experiment on a quantum processing unit (QPU), significantly reducing the engineering effort that has long stood between an idea for a quantum use case and its execution on hardware.

As quantum computers become easier to access through the cloud, the challenge is shifting from hardware availability to how researchers design, run and interpret quantum experiments. Translating a protocol into a hardware-ready job still requires specialized engineering expertise and significant time. As a result, many promising ideas go untested, even when suitable hardware exists.

The AI-assisted workflow orchestrates the full pipeline. Starting from an experiment described in a paper or conceived as an original idea, it extracts or formalizes the protocol, translates it into a hardware-ready quantum job, validates it in emulation, submits it through the cloud and processes the results into scientific observables.

“The bottleneck in quantum computing is shifting,” said Wasiq Bokhari, CEO of Pasqal. “The engineering work that once demanded a researcher’s attention can increasingly be automated, allowing researchers to focus more fully on the science. Our QPUs are deployed and accessible in the cloud today. With this AI-assisted workflow lowering the barrier to using them, we are making quantum computing power available to a much broader community.”

Rather than replacing scientists, the workflow is designed to keep scientific judgment at the center. It coordinates the engineering and removes friction, while ideation, validation and decisions about what to measure and whether a result genuinely supports a physical claim, remain with the users.

The AI-assisted workflow can be installed as a plugin in leading agentic coding environments, including Claude Code, Cursor, Codex and others. Experiments can then be run on three Pasqal Cloud QPUs available to external users: Ruby, operated by GENCI at CEA, located in France, FC1, located in Sherbrooke (Québec, Canada) and SA1, located in the Kingdom of Saudi Arabia.

To learn more about the AI-assisted workflow, read our blog post, “Turning Ideas into QPU Experiments: How Agentic Workflows Make Quantum Computing More Accessible,” for a full technical deep dive, or visit the documentation.