Xanadu offers a cloud‑based quantum computing platform that provides access to photonic quantum processors via a subscription model. Developers can submit circuits through the PennyLane Python SDK or a REST API, receiving high‑fidelity results with built‑in error mitigation and automatic compilation for hybrid quantum‑classical workflows. The service abstracts hardware complexity, enabling researchers and enterprise teams to prototype, benchmark, and deploy quantum algorithms at scale.
Funding
$2.8M 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.
FFounders
Product
Problem
Access to scalable, fault-tolerant quantum computing resources is limited, forcing researchers and enterprises to rely on scarce, expensive hardware or simulators that cannot capture real quantum behavior at scale.
Solution
Xanadu provides a cloud-based quantum computing platform that delivers photonic quantum processors via a subscription service. Users can submit quantum circuits through a Python SDK or REST API, which are executed on Xanadu’s hardware and returned with high-fidelity results. The platform includes built-in error mitigation, automatic circuit compilation for photonic architectures, and integration with popular machine‑learning frameworks to enable hybrid quantum‑classical workflows. By abstracting hardware complexities, Xanadu allows developers to prototype, benchmark, and deploy quantum algorithms without managing physical devices.
Target Audience
Primary customers are quantum researchers, data‑science teams, and enterprise developers seeking to experiment with or integrate quantum algorithms into their applications.
Features
- Photonic quantum processors with continuous‑variable qubits offering low decoherence and room‑temperature operation
- Python SDK (PennyLane) and REST API for seamless integration with existing data‑science and ML pipelines
- Automatic circuit compilation and error mitigation tailored to photonic hardware
- Real‑time job monitoring and result retrieval through a web dashboard
- Hybrid quantum‑classical execution support for variational algorithms and quantum neural networks
- Scalable cloud infrastructure with pay‑as‑you‑go usage billing