Classiq Introduces AI Agent for Quantum Software Development
Insider Brief
- Classiq introduced an AI agentic layer that converts natural language inputs into structured, executable quantum applications.
- The system operates on Classiq’s model-based platform to generate, optimize, and validate quantum programs for real hardware.
- The approach aims to improve enterprise quantum development by enabling scalable, maintainable, and hardware-agnostic workflows.
PRESS RELEASE — Classiq, the leading quantum computing software company, today announced a significant acceleration for quantum software development: a new AI agentic layer that enables users to move from natural-language intent to structured, executable quantum applications, powered by a first-generation, expert-level quantum agent.
Unlike traditional code assistants, the Classiq Quantum Agent operates on top of its model-based quantum software platform, allowing it to generate, refine and optimize quantum programs within a validated, scalable development environment. This approach now enables AI to not only suggest code, but to function as a trained development partner. It is now capable of guiding and implementing complex quantum workflows across enterprise domains such as pharmaceuticals, finance, aerospace, automotive and quantum error correction.
“AI in quantum computing has so far been limited to helping write code,” said Nir Minerbi, CEO and co-founder of Classiq. “Classiq created the foundational modeling and abstraction layer for quantum software. It’s the only stack designed to be natively understood by large language models, allowing AI to develop expert-grade quantum applications that are not just theoretical, but fully compilable and ready to run on real hardware.”
From Prompts to Production-Ready Portable Quantum Applications
Classiq’s new capability enables users to describe high-level goals, algorithms or domain-specific problems in natural language, and generate structured quantum programs that can be analyzed, optimized and executed.
Crucially, this is not free-form code generation because the AI-generated outputs are built on top of Classiq’s model-based architecture, ensuring that programs remain:
- Structured and maintainable
- Fully validated and compilable
- Optimized for real hardware constraints
- Hardware-agnostic and forward-compatible with evolving quantum systems
By combining natural-language interaction with its synthesis and optimization engine, Classiq enables a shift from experimental coding to repeatable, enterprise-grade quantum development.
An Emerging AI Category: Expert Quantum Agents
The agentic workflow is designed to operate across the full lifecycle of quantum application development, including:
- Translating domain problems into quantum models
- Designing scalable algorithms across abstraction layers
- Optimizing circuits under real-world constraints
- Iterating within structured development workflows
Because it operates on top of Classiq’s validated modeling layer and curated algorithm libraries, the agents can reason about quantum systems at a higher level than traditional LLM-based tools. The result is a system that combines the flexibility of AI with the rigor required for serious quantum software development.
Accelerating Quantum Projects to Practical Long-Term Quantum Assets
Classiq’s approach reflects a broader shift in how enterprises engage with quantum computing. As the quantum ecosystem continues to move toward larger-scale systems, software abstraction, automation, developer productivity and implementation quality are becoming critical.
Rather than producing one-off experiments or disposable code, organizations can now build persistent, evolving capabilities, where knowledge is captured, validated and continuously improved over time.
“Enterprises don’t want to ‘play with quantum,’” added Minerbi. “They want to build something that lasts. By combining AI with a validated modeling foundation, we’re enabling teams to create quantum applications and knowledge assets that remain relevant as the technology evolves.”
AI-native development workflows are the next step in that evolution, enabling more teams to participate in quantum development while maintaining the depth and rigor required for real-world applications.
By introducing expert-level AI into the quantum development process, Classiq is expanding what is possible, and democratizing who can build it.