Qoro Quantum provides a hardware‑agnostic orchestration platform that unifies CPUs, GPUs, simulators, and quantum processors into a single execution layer. It automates workload pipelines, real‑time resource allocation, and intelligent routing, letting developers write hybrid algorithms once and run them across on‑premise and cloud environments with multi‑vendor quantum backends and a digital twin for testing.
Funding
$750K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PCSFounders
Product
Problem
Modern scientific and enterprise workloads increasingly require a mix of CPUs, GPUs, simulators, and emerging quantum processors. Coordinating these heterogeneous resources across on‑premise clusters, cloud environments, and specialized accelerators introduces significant orchestration complexity, limiting scalability and increasing operational overhead.
Solution
Qoro Quantum offers a hardware‑agnostic orchestration platform that abstracts the underlying diversity of compute resources into a single execution layer. The platform provides automated workload pipelines, real‑time resource allocation, and intelligent routing to match tasks with the most suitable accelerator, whether classical or quantum. By exposing a unified cloud‑based controller and APIs, developers can write hybrid algorithms once and deploy them across any combination of CPUs, GPUs, simulators, and quantum processors. Integrated modules handle simulator selection, parallelization, and multi‑vendor quantum backend access, enabling seamless hybrid execution at scale. The solution also includes a digital twin of quantum hardware for testing and optimization before running on physical QPUs.
Target Audience
Primary customers are HPC centers, research institutions, and enterprises that run large‑scale scientific or data‑intensive workloads requiring coordinated classical and quantum computing resources, as well as developers building hybrid algorithms.
Features
- Composer: cloud orchestration, scheduling, and resource management for distributed quantum and classical computing
- Maestro: automated selection of the optimal simulator for batch quantum simulations
- Divi: high‑level parallelization framework that splits quantum programs for efficient execution on heterogeneous clusters
- Multi‑vendor QPU interfaces supporting IBM, IQM, AWS Braket, and other quantum backends
- Virtual QPU (digital twin) providing a software replica of quantum hardware for development and testing
- Unified API and cloud controller that abstracts CPU, GPU, simulator, and quantum resources into a single execution model
- Real‑time workload routing and intelligent resource allocation across on‑premise and cloud environments