Quantum platform: MAIN FEATURES
work at a higher level
Python SDK to design
sophisticated circuits at scale
If you can imagine it, our Quantum Algorithm Design platform can synthesize it into an optimized and hardware-aware circuit that you can execute on the cloud and hardware provider of your choice.contact us
Combine built-in quantum computing modules with user-defined functions. Set constraints such as the number of gates, circuit depth and level of entanglement. Simply define what you need, and within seconds, the Classiq platform will synthesize an optimized circuit that might have taken weeks to build manually.
Don't be constrained by traditional quantum computing platforms and simulators. Our platform analyzes quantum circuits at the fundamental level, no matter how many qubits they contain. Use our system-level optimizations to squeeze the most out of your hardware, isolate and resolve potential issues at any scale.
Classiq works seamlessly with all quantum programming languages, as well as any universal gate-based quantum computer. Easily deploy on any major cloud computing provider.
Classiq allows you to incorporate hardware-specific knowledge such as qubit connectivity, native gate set or noise model, generating an optimized output that perfectly fits your hardware of choice.
At the core of Quantum Algorithm Design is the Classiq Engine, combining domain insights and quantum intelligence to design, synthesize and analyze any quantum circuit.