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Quantum

Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

Constantin Dalyac, Alexandre Dauphin, Loïc Henriet, Christophe Jurczak

Featured August 4, 2026

Original Paper

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Simply

A smart computer program helps scientists run quantum experiments by automatically turning research papers into instructions for quantum computers, even figuring out what new hardware is needed.

In depth
The paper introduces an agentic workflow that automates the entire pipeline for translating theoretical quantum protocols into hardware experiments on neutral-atom quantum processors. This system, powered by large language models, extracts protocols from scientific literature or patents, compiles them into device-level controls, validates them via noise-aware emulation, and executes them on cloud QPUs. A second agent also performs a corpus-scale analysis of quantum literature to identify implementable protocols and guide future hardware development.

Key Takeaways

  • 1
    The study demonstrates an agentic workflow that automates the end-to-end process of running quantum experiments, from scientific literature to cloud QPU execution.
  • 2
    The agent effectively identifies hardware constraints and orchestrates complex multi-round quantum algorithms, significantly reducing the engineering effort for researchers.
  • 3
    A separate agent performs a corpus-scale analysis of Rydberg-array papers, classifying their implementability on current hardware and pinpointing critical future hardware upgrades.

Conceptual Flow

HIGH LEVEL
1
Methodology: Automating Quantum Experiments

A smart computer program reads science papers, plans experiments, checks them with fake runs, and then tells the real quantum computer what to do.

Science Paper
Human Goal
Plan & Run
Quantum Computer
Experiment Results
2
Results: Bridging Theory to Hardware

The program successfully runs complex experiments and also checks many papers to see which ideas can be built today, helping design better future quantum computers.

Theory Ideas
Current Hardware
Connect & Assess
Working Experiments
Future Hardware Needs