Classiq - Software Partner
Design quantum applications with high-level modeling and AI assistance. Execute them with automated synthesis and less manual circuit coding. Classiq helps teams design, refine, and run quantum algorithms using high-level modeling, automated synthesis, and hardware-aware execution. With Classiq, participants can compare implementation paths, evaluate tradeoffs, and move from concept to testable results without rebuilding each circuit by hand.
Partner Overview
Classiq is the quantum software partner for this challenge and a quantum application development platform for high-level design, automated circuit synthesis, and hardware-aware execution. Classiq helps teams create quantum applications with high-level quantum modeling, then automatically synthesize those models into circuit implementations optimized for their chosen backend. For challenge teams, Classiq supports fast iteration, clear design logic, and efficient testing under real constraints. For the broader quantum ecosystem, Classiq supports reproducibility, strong quantum software development practices, and collaboration across different skill levels and hardware environments. For enterprise quantum teams, Classiq supports maintainable workflows, reusable models, and portability as hardware, requirements, and organizations change.
Classiq’s role in the Challenge
How participants use Classiq during the challenge
Participants can use the Classiq platform to model solution ideas, generate quantum circuit implementations, and benchmark alternatives as their approach matures. This helps teams test more options in less time, document design decisions clearly, and focus effort on the parts of the problem that matter most.
What is automated vs what teams design
Teams define the problem, the algorithmic logic, and the success criteria, while using Classiq’s algorithm library and AI-assisted coding tools. Classiq automates much of the lower-level work required to turn that intent into an executable quantum circuit, including implementation choices, optimization tradeoffs, and adaptation to different target backends.
Where optimization and abstraction matter most
Optimization and abstraction matter most when teams move beyond small hand-built circuits and need to compare multiple design paths under real constraints. High-level quantum modeling helps teams work faster and with more clarity. Classiq’s logic-based circuit visualization helps teams inspect and debug quantum programs more effectively. Automated optimization helps generate circuits aligned with backend constraints, resource budgets, and execution goals.
