Every quantum workload, optimized from algorithm to execution on your hardware.
Classiq integrates your machine, compiles and optimizes each workload to your architecture, and gives your team fault-tolerant resource and fidelity analysis calibrated to your noise.
Working across the quantum hardware ecosystem
What Classiq does for your hardware
Optimized from algorithm to execution
Integration and execution
Classiq runs your hardware as an execution target, so the quantum workloads built on the platform can run on your machine.
Compilation and optimization
Classiq decomposes, places, and routes each workload to your connectivity and native gates, optimized for your architecture.
Fault-tolerant analysis
Give Classiq an algorithm and your noise model, and your team gets the physical qubit count, code distance, and projected fidelity to run it on your hardware.
What we build together
Three ways your hardware gets stronger and more used on the platform
Classiq estimates the resources and projects the fidelity to run a real algorithm fault-tolerantly on your hardware, calibrated to your own noise model, and shows where to make it leaner.
Introducing Classiq’s Fault Tolerance Engine
Advanced fault-tolerant quantum compilation powered by automated lattice surgery, surface-code routing, and hardware-aware resource estimation.

Surface code off-the-hook: diagonal syndrome-extraction scheduling
By: Gilad Kishony and Austin Fowler
Error Correction and Fault Tolerance
Towards Lattice Surgery Compilation for the Color Code Using Pipe Diagrams
By: Laura S. Herzog, Gilad Kishony, Robert Wille, and Austin Fowler
Error Correction and Fault Tolerance
Color code off-the-hook: avoiding hook errors with a single auxiliary per plaquette
By: Gilad Kishony and Austin Fowler
Error Correction and Fault Tolerance
Alice & Bob
Superconducting
Clifford+T logical compilation
By: Gilad Kishony, Avi Elazari, Ron Cohen, Lior Gazit
Compilation and Optimization
Error Correction and Fault Tolerance
Classiq compiles workloads to your architecture, its connectivity, native gates, and constraints, so they run better on your machine.
Scalable Memory Recycling for Large Quantum Programs
By: Israel Reichental, Ravid Alon, Lior Preminger, Matan Vax and Amir Naveh
Compilation and Optimization
Alice & Bob
Superconducting
Clifford+T logical compilation
By: Gilad Kishony, Avi Elazari, Ron Cohen, Lior Gazit
Compilation and Optimization
Error Correction and Fault Tolerance
QuEra
Neutral atoms
CZ-depth optimization
By: Gilad Kishony and Avi Elazari
Compilation and Optimization
Classiq + CUDA-Q: Faster Hybrid Quantum Workflows
By: Sara Kisch
Compilation and Optimization
Efficient Quantum Control via Automatic Control Skips
By: Peleg Emanuel, Eyal Cornfeld, Ravid Alon, Shmuel Ur and Israel Reichental
Compilation and Optimization
Qmod: Expressive High-Level Quantum Modeling
By: Matan Vax, Peleg Emanuel, Eyal Cornfeld, Israel Reichental, Ori Opher, Ori Roth, Tal Michaeli, Lior Preminger, Lior Gazit, Amir Naveh and Yehuda Naveh
Compilation and Optimization
スケーラブルな量子プログラムの設計と合成
By: The Classiq research team
Compilation and Optimization
Classiqプラットフォームにおけるハードウェアに対応した合成
By: Israel Reichental
Compilation and Optimization
Your hardware becomes a live execution target.
Users run their workloads on your QPU or simulator directly through Classiq.
Users run their workloads on your QPU or simulator directly through Classiq.
Leonardo
Simulation
GPU-cluster quantum simulation
Integration and Execution
IQCC
Superconducting
HPC job orchestration
Integration and Execution
AQT
Trapped ions
Design-to-execution integration
Integration and Execution
Let's put your hardware in front of the teams building on it.
Run your hardware through the Classiq platform and reach the people building on it. We co-develop integrations, benchmarks, and case studies with our hardware partners.