By PasqalLearning Objectives
- Understand what makes Pasqal's neutral-atom approach to quantum computing distinct from other hardware platforms.
- See where Pasqal's Orion processors are deployed around the world and how you can access them through the cloud.
- Connect Pasqal's quantum hardware to AI workloads like quantum graph machine learning and drug discovery.
What Is Pasqal?
Pasqal is a quantum-computing company founded in 2019 in France. Its co-founders include Georges-Olivier Reymond and the Nobel laureate physicist Alain Aspect, and the company is headquartered in Massy, just outside Paris. Pasqal is currently a private company, but it has announced a planned merger worth roughly 2 billion dollars that would take it public on Nasdaq through a special-purpose acquisition company (SPAC), under the ticker BBCQ, with the deal expected to close in the second half of 2026.
What sets Pasqal apart is its hardware approach. Rather than the superconducting circuits used by many other players, Pasqal builds neutral-atom quantum computers — machines that arrange individual atoms in space using lasers. This design is particularly well suited to analog quantum simulation and to optimization problems, and Pasqal has grown into one of the broadest commercial cloud footprints in neutral-atom computing.
Neutral-Atom Quantum Computing
To understand Pasqal, it helps to understand the physical trick at its core. Most quantum computers store quantum information in qubits — the quantum equivalent of a classical bit. Where the platforms differ is in what the qubit physically is. Pasqal uses neutral atoms as its qubits, holding each atom in place with finely focused beams of laser light often called optical tweezers.
💡Key Concept
A neutral-atom quantum computer uses individual, electrically neutral atoms as its qubits. Lasers act as tiny tweezers that trap each atom and arrange them into patterns, and additional laser pulses nudge the atoms into excited states and let nearby atoms interact. Because the atoms can be positioned flexibly, this approach is especially strong for analog quantum simulation (directly mimicking the behavior of other physical systems) and for optimization problems where the layout of the atoms can be matched to the structure of the problem.
This flexibility is the key advantage. Because the atoms are arranged by light rather than etched permanently into a chip, the geometry of a Pasqal processor can be reconfigured to suit the problem at hand. That makes neutral-atom machines a natural fit for simulating molecules and materials, and for tackling certain optimization tasks that map cleanly onto how the atoms are positioned and how they interact.
The Orion Systems and Global Deployments
Pasqal's processors are sold under the Orion series name. The Orion Gamma machine carries more than 140 qubits, and the broader Orion line anchors Pasqal's commercial cloud offering. Pasqal has built one of the widest commercial footprints in neutral-atom computing, with machines deployed across Europe and beyond.
A notable expansion came in May 2026, when Saudi Aramco and Pasqal launched Saudi Arabia's first quantum computer — a 200-qubit machine — along with the Middle East's first commercial quantum-computing-as-a-service platform. This put a Pasqal system at the center of a new regional quantum offering.
| System / deployment | Detail |
|---|---|
| Orion series | Pasqal's family of neutral-atom processors |
| Orion Gamma | More than 140 qubits |
| Saudi Arabia (with Saudi Aramco, May 2026) | 200-qubit machine; Middle East's first commercial quantum-computing-as-a-service platform |
| Europe and beyond | Additional commercial and research deployments |
The AI Angle
For an audience focused on AI, the most interesting part of Pasqal's story is how its quantum hardware connects to machine learning and scientific discovery. Quantum computers are not general-purpose replacements for classical AI systems — instead, the emerging pattern is hybrid quantum-classical computing, where a classical computer (often built around GPUs) handles most of the workload and hands specific subproblems to a quantum processor.
Pasqal supports this hybrid model by integrating NVIDIA NVQLink, a connection layer designed to let quantum processors and classical accelerators work together closely. On top of that foundation, Pasqal pursues several AI-adjacent research directions: quantum graph machine learning, which uses the natural structure of neutral-atom arrays to represent and learn from graph-shaped data, and quantum approaches to drug discovery and materials, where simulating molecules accurately is exactly the kind of task neutral-atom simulation is well suited to. These are early-stage, research-grade efforts, but they show why a quantum company belongs in a conversation about the future of AI tooling.
How You Access It
Pasqal is usable today through several cloud channels, so you do not need your own quantum hardware to experiment.
| Tool | Best For |
|---|---|
| Pasqal Cloud | Pasqal's own cloud platform for running jobs on its neutral-atom processors |
| Microsoft Azure | Pasqal systems available through the Azure cloud ecosystem |
| Google Cloud Marketplace | Pasqal access offered via the Google Cloud Marketplace |
Strengths
- Neutral-atom flexibility — atoms arranged by laser tweezers can be reconfigured to match the structure of a problem, which is a strong fit for simulation and optimization.
- Broad cloud footprint — one of the widest commercial reaches in neutral-atom computing, available through Pasqal Cloud, Microsoft Azure, and the Google Cloud Marketplace.
- Real deployments at scale — the Orion Gamma machine carries more than 140 qubits, and the Saudi Arabia system reaches 200 qubits.
- AI-ready integration — support for NVIDIA NVQLink positions Pasqal for hybrid quantum-classical workloads alongside GPU systems.
- Strong scientific pedigree — co-founded with Nobel laureate physicist Alain Aspect, grounding the company in foundational quantum science.
Limitations & Considerations
- Early-stage technology — quantum computing as a whole remains research-grade; clear, durable advantages over classical methods are still being established for most tasks.
- Specialized rather than general — neutral-atom machines shine at simulation and optimization, not as broad replacements for classical or AI compute.
- Public-listing uncertainty — the planned SPAC merger to list on Nasdaq is expected to close in the second half of 2026, but planned deals can shift or change terms.
- Requires hybrid thinking — getting value typically means combining quantum and classical resources, which adds workflow complexity for teams new to the field.
Best Use Cases
| Scenario | Why Pasqal fits |
|---|---|
| Simulating molecules and materials | Neutral-atom analog simulation directly mimics quantum physical systems |
| Optimization problems | Atom geometry can be matched to the structure of the problem |
| Quantum graph machine learning research | Atom arrays naturally represent graph-shaped data |
| Hybrid quantum-classical experiments | NVIDIA NVQLink integration pairs quantum processors with GPU systems |
| Cloud-based exploration without owning hardware | Available through Pasqal Cloud, Microsoft Azure, and the Google Cloud Marketplace |
Getting Started
- Visit the Pasqal website to review its platform, documentation, and the Orion processor lineup.
- Choose an access path that fits your environment — Pasqal Cloud, Microsoft Azure, or the Google Cloud Marketplace.
- Start with a small simulation or optimization problem that maps well onto neutral-atom strengths before scaling up.
- Explore Pasqal's hybrid tooling, including NVIDIA NVQLink integration, to combine quantum and classical resources.
- Track Pasqal's research in quantum graph machine learning and drug discovery to see where the platform is heading.
Key Takeaways
- Pasqal is a French quantum-computing company founded in 2019, co-founded with Nobel laureate physicist Alain Aspect and headquartered in Massy, near Paris.
- Pasqal builds neutral-atom quantum computers, where atoms arranged by laser tweezers serve as qubits — a design strong for analog simulation and optimization.
- The Orion series anchors its hardware, with the Orion Gamma machine carrying more than 140 qubits and a 200-qubit system deployed in Saudi Arabia with Saudi Aramco.
- The AI hook is hybrid quantum-classical computing via NVIDIA NVQLink, plus research in quantum graph machine learning and drug discovery.
- You can access Pasqal today through Pasqal Cloud, Microsoft Azure, and the Google Cloud Marketplace, with a planned roughly 2 billion dollar SPAC merger to list on Nasdaq expected in the second half of 2026.
