Pasqal develops programmable quantum simulators and quantum computers using neutral atoms trapped in optical tweezers, enabling the realization of superposition and entanglement for quantum information processing. This technology addresses the limitations of classical computing by providing scalable solutions for complex problem-solving across various industries, including finance, healthcare, and energy.
Funding
$147.8M 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.
Founders
Product
Problem
Classical computers face exponential scaling limits when modeling quantum‑scale phenomena, solving large combinatorial optimizations, or performing graph‑based machine learning on complex industrial datasets. This hampers the ability of sectors such as energy, finance, logistics, and defense to derive timely insights from high‑dimensional problems.
Solution
Pasqal delivers quantum computing services built on a neutral‑atom architecture that directly emulates physical laws, enabling physics‑informed machine learning and quantum‑enhanced graph analytics. Customers can access the Pasqal quantum processing unit (QPU) remotely through Pasqal Cloud or integrate on‑premise hardware into existing classical workflows. The full‑stack platform provides standardized SDKs, specialized optimization libraries, and middleware that bridge classical and quantum processing, allowing hybrid applications to run at scale. By leveraging analog quantum operations, Pasqal accelerates solution times for complex problem sets that are intractable for conventional hardware.
Target Audience
Primary customers are large enterprises and research teams in energy, finance, logistics, and defense that require advanced optimization or machine‑learning solutions, as well as developers building hybrid quantum‑classical applications.
Features
- Neutral‑atom QPU that natively mimics quantum dynamics for high‑fidelity analog computation
- Cloud‑native and on‑premise deployment options supporting seamless integration with existing IT stacks
- Standardized software development kit (SDK) and optimization libraries for rapid hybrid application development
- Scalable middleware that orchestrates classical‑quantum workflow orchestration and data exchange
- Proven industrial use cases across energy, finance, logistics, and defense with over 25 commercial deployments
- Physics‑informed machine‑learning models and quantum‑enhanced graph analytics capabilities