Pasqal Launches an AI-Assisted Workflow to Accelerate Cloud QPU Experiments

By lowering the engineering effort between an idea and the hardware, the new feature enables faster experimentation while keeping scientists in control

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.

Also Read: AiThority Interview with Gou Rao, co-founder and CEO at NeuBird AI

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.

Also Read: ​​AI and The Future of Work: Artificial Intelligence Is Expanding Organizational Intelligence Beyond Human Limits