Webinar: Building Practical Quantum Finance Applications with Classiq and NVIDIA CUDA-Q

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.
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.
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

What our partners say

Classiqとの連携により、当社のお客様は、高度に最適化されハードウェア特性を考慮した量子回路を設計し、当社のクラウド上で容易に実行できる環境を提供できることを大変嬉しく思います。

Richard Moulds
General Manager of Amazon Braket at AWS

Classiq との提携により、当社のお客様は複雑な量子回路のモデリングから実行まで、容易に取り組めるようになりました。

Paul Lipman
Infleqtion

Classiq’s software helps unlock the power of quantum by abstracting away complexity for developers.

Ilana Wisby
CEO of OQC

This partnership brings together the best quantum software and ion-trap hardware, allowing innovation to thrive.

Dr. Thomas Monz
CEO of AQT

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.