Quantum Software Engineering, Not Quantum Circuit Design
Build quantum software at the algorithm level using natural-language AI assistance and a Python-like language, not gate-level circuits.
How it Works
Define the Algorithm
You define the algorithm at a high level using functions, composition, and constraints, the same software engineering techniques you already know from classical programming. Natural-language AI assistance translates ideas into working models, while the logic stays explicit and controllable.
Compile and Optimize
Classiq compiles your algorithm into optimized quantum circuits by exploring a vast space of valid implementations and automatically managing qubit allocation, uncomputation, and performance tradeoffs, with no need to manually optimize or maintain quantum circuits.
Target Execution
Classiq recompiles the same algorithm for different quantum hardware or simulators, so you can change targets without changing code, keeping algorithms portable as hardware evolves.
Classiq Execution
Built-in abstractions to specify execution flows, including hybrid algorithms. Your streamlined gateway to all simulation and leading hardware providers available on the cloud. Manage jobs, costs, and credits with different providers in one place.
Run on all QPUs, GPUs and CPUs
Simulate on GPUs and hardware from different providers.
Hybrid
A single execution session manages any hybrid flow efficiently.
Quantum Applications
Library
Find almost any quantum algorithm or application you can think of. Use the Classiq algorithms or build your own.
Open source
Explore, contribute, and innovate together with the Classiq Community!
Contribute!
We’re looking forward to being part of your quantum journey. Let us know what you like and what you’re looking for.