Pasqal’s AI workflow cuts time to run quantum cloud experiments

Pasqal is delivering a new AI-assisted workflow as a plugin for agentic coding environments like Claude Code and Cursor to accelerate quantum cloud experiments. The company reports the feature takes a scientific idea and runs it on a quantum processing unit, reducing the engineering needed to translate concepts into usable data. As quantum computers become more accessible, Pasqal identifies the primary challenge as shifting from hardware access to experiment design and interpretation. “The bottleneck in quantum computing is shifting,” said Wasiq Bokhari, CEO of Pasqal.

AI Workflow Automates Pipeline from Protocol to QPU Results

The new AI-assisted workflow from Pasqal coordinates the entire quantum experiment pipeline, starting with a research paper or initial concept and culminating in scientifically meaningful results from a quantum processing unit. This automation extends beyond simply submitting a job to a QPU. It extracts and formalizes experimental protocols, translates them into hardware-compatible instructions, and validates them through emulation before cloud submission. Pasqal’s system then processes raw data into observable scientific values, reducing the time and specialized expertise previously required to move from theory to experimentation.

The company reports this workflow addresses a critical shift in the challenges facing quantum computing; hardware access is no longer the primary obstacle, but rather the complex process of experiment design and interpretation. “The engineering work that once demanded a researcher’s attention can increasingly be automated, allowing researchers to focus more fully on the science,” said Wasiq Bokhari, CEO of Pasqal.

The system maintains human oversight by keeping scientific judgment central to the process, automating engineering tasks while leaving ideation, validation and result interpretation to the user. This approach aims to amplify, not replace, the expertise of quantum researchers. Currently, the AI-assisted workflow supports experiments on three Pasqal Cloud QPUs: Ruby, operated by GENCI at CEA in France; FC1, located in Sherbrooke, Québec, Canada; and SA1, located in the Kingdom of Saudi Arabia.

Pasqal emphasizes that its QPUs are deployed and accessible in the cloud, and this new feature is intended to broaden access to quantum computing power by lowering the barrier to entry for researchers. A detailed technical overview of the workflow is available in the company’s blog post, “Turning Ideas into QPU Experiments: How Agentic Workflows Make Quantum Computing More Accessible,” providing further insight into the system’s capabilities and implementation.

The bottleneck in quantum computing is shifting.

Wasiq Bokhari, CEO of Pasqal
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