Qangles provides a hybrid platform that lets scientists, developers, and enterprises design, simulate, and optimize quantum algorithms alongside classical workloads.
Funding
Funding not disclosed
Founders
Product
Problem
Classical computing faces exponential growth in state space for tasks such as molecular simulation and large‑scale combinatorial optimization, making exhaustive evaluation impractical and limiting insight into complex systems.
Solution
Qangles provides a hybrid quantum‑classical platform that consolidates the entire quantum algorithm lifecycle—design, simulation, and deployment—into a single environment. The platform automatically adapts circuit configurations, sampling strategies, and optimization policies to the characteristics of each target quantum hardware architecture. Pre‑built workbenches deliver validated pipelines for chemistry, optimization, and quantum machine learning, allowing users to start projects without extensive low‑level coding. A hybrid orchestration engine coordinates classical and quantum processes within unified execution flows, while built‑in provenance tracking captures execution lineage for reproducible, traceable results. By removing the friction between existing classical infrastructure and quantum resources, the platform enables more efficient exploration of problem spaces that exceed classical limits.
Target Audience
Primary customers are scientists, developers, and enterprise teams that require quantum‑enhanced capabilities for complex simulations, optimization problems, and quantum‑based machine‑learning workloads.
Features
- Unified quantum workflows that let users design, test, and deploy algorithms as reusable pipelines across simulators and hardware
- Backend‑optimized execution that automatically tunes circuits, sampling methods, and optimization policies for each quantum processor
- Domain‑specific workbenches with ready‑to‑use, validated pipelines for chemistry, combinatorial optimization, and quantum machine learning
- Hybrid orchestration engine that seamlessly integrates classical computation steps with quantum execution in a single flow
- Reproducible execution and provenance tracking that records run metadata and lineage across simulations and hardware deployments
- High‑performance workflow management that bridges existing classical infrastructure with quantum acceleration