From Natural language to quantum code

Classiq's Quantum AI Agents

The AI that thinks in quantum.

Most AI tools are built for code completion and general use. They pattern-match against what already exists. That works well for languages with millions of examples and predictable structure.
Quantum is different. And generic AI tools struggle with it for reasons that matter.

Classiq’s Quantum Agents are built specifically for quantum engineering. It doesn't just generate code. It reasons about the problem, draws on the deepest and most up-to-date library of production-grade quantum algorithms available, and produces output that is optimized, and ready for any simulator or quantum hardware.

Think of it as a quantum expert embedded in your workflow, ready to help your team build real quantum capability today.

Making quantum engineering practical for:

Industry Domain Experts

Turn your domain and algorithm expertise into working quantum applications and IP today. Classiq enables you to explore new approaches to hard problems and translate your ideas directly into functional quantum code, using the deep industry expertise and skills you already have.

Quantum Developers

If you know quantum, Classiq makes you faster and your code more efficient. Work at a higher level of abstraction than traditional SDKs, move quickly from algorithm to optimized hardware-ready output, and let the platform handle the implementation details that slow you down today.

Why quantum is hard for most AI tools.

Generic AI coding agents hit a ceiling quickly in quantum. Four reasons:

Limited training data

High-quality quantum code is scarce. Most models have almost nothing reliable to learn from, which means outputs that look plausible but frequently aren't.

Rapid Pace of Change

Quantum concepts, breakthroughs, and the ecosystem change rapidly, outpacing even the most advanced public models. Public examples that worked before are not usually backward compatible, requiring the most up to date syntax, research, and approaches.

Hardware dependencies

Optimized quantum code has to account for qubit topology, gate depth, and connectivity constraints. That requires reasoning about physical systems, not just syntax.

No repeatable patterns

Quantum algorithms don't follow templates. Each one requires genuine understanding of the underlying mechanics, not pattern recognition.

Classiq is built around these realities. The result is outputs you can trust rather than outputs you have to verify from scratch.

Calssiq’s AI agents.
Solving real-world problems

See how real-world problems and domain expertise can be turned into working quantum code and IP.

Ready to see what Quantum+AI can do for your team?

Get in touch with the experts now and discover how Classiq can bring your quantum ideas to life!