Qambria develops high‑performance computing software that integrates quantum‑accelerated nodes with existing classical HPC infrastructure. By eliminating traditional bottlenecks, its platform delivers low latency and high throughput for hybrid algorithms, enabling seamless scaling of massive‑parallel classical systems alongside state‑of‑the‑art quantum computers.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional high‑performance computing (HPC) environments lack a standardized way to incorporate quantum processors, leading to custom integration efforts, high communication latency, and limited throughput for hybrid quantum‑classical workloads.
Solution
Qambria delivers a software platform that links quantum‑accelerated nodes with existing classical HPC clusters. The platform presents quantum resources through standard HPC interfaces, enabling job schedulers to allocate quantum and classical compute as part of a unified workload. Optimized communication pathways and data pipelines reduce latency and increase throughput between CPUs/GPUs and quantum processors. It supports hybrid algorithms that partition tasks across both domains, allowing massive‑parallel applications to scale transparently. The architecture integrates with typical HPC stacks without requiring extensive hardware modifications, facilitating adoption in enterprise and research environments.
Target Audience
Primary customers are large‑scale HPC centers, cloud service providers, and research organizations in fields such as materials science, pharmaceuticals, and finance that require hybrid quantum‑classical computing capabilities.
Features
- Software abstraction layer that exposes quantum processors as native HPC compute nodes
- Low‑latency, high‑throughput data exchange mechanisms between classical and quantum hardware
- Compatibility with common HPC job schedulers and resource managers
- Hybrid algorithm runtime that orchestrates workload distribution across quantum and classical resources
- Scalable architecture that extends massive‑parallel classical clusters with state‑of‑the‑art quantum computers
- API and SDK for developers to integrate quantum‑accelerated functions into existing codebases