solutions
Pasqal Software Suite
Accelerate quantum innovation using Pasqal’s comprehensive software suite, featuring powerful solvers, developer SDKs, and scalable emulation tools.
Solve complex optimization and graph machine learning problems with speed and confidence, experiment at the cutting edge of neutral atom quantum technology with advanced SDKs, and rapidly prototype or scale your work with robust, industry-grade emulators. Pasqal’s open, Python-native software integrates smoothly into existing workflows, making it straightforward to apply quantum computing to real business needs, research challenges, or learning goals, and giving you a practical edge for today and the future.
Why Choose Pasqal Software Suite?
FLEXIBILITY FOR EVERY LEVEL AND INDUSTRY
Use tools that fit your expertise and needs, whether you’re a business user or a researcher. Adapt workflows and solutions to solve the problems that matter most to you.
ACCELERATE YOUR QUANTUM JOURNEY
Move quickly from concept to working quantum applications. Our integrated tools reduce complexity and shorten development cycles, helping you deliver results faster.
EVERYTHING YOU NEED IN ONE SUITE
Combine simulation, development, and deployment in a single suite. Easily design, test, and run quantum algorithms on real or simulated hardware without switching tools.
All-in-one software suite: from design to deployment
Design, emulate, and deploy quantum applications with a full-stack software suite optimized for real use cases.
Solvers
Pasqal’s quantum solvers provide ready-to-use algorithms designed to address challenging problems in optimization and machine learning. They enable faster, more effective solutions by leveraging quantum-inspired techniques tailored to real-world scenarios.
Optimization
MIS Solver (Maximum Independent Set)
Efficiently tackle complex optimization problems common in logistics, scheduling, and network design. The MIS solver leverages quantum techniques to uncover optimal solutions in scenarios where classical approaches struggle.
Machine learning
QEK (Quantum Evolution Kernel)
Apply advanced quantum machine learning for graph classification and data analysis. QEK brings quantum-powered capabilities to real-world graph-based problems, opening new avenues in AI and data science.
Software Development Kits
Our Software Development Kits empower developers and researchers with versatile tools to create, control, and experiment with neutral atom quantum processors. Whether through code or visual interfaces, Pasqal’s SDKs bridge the gap between theory and practice.
DEVELOPER SDK
Pulser
Unlock direct, pulse-level control over neutral atom quantum hardware. Pulser provides a Python-native interface—ideal for researchers and developers needing precise experiment design and hardware-specific programming.
Visual interface
Pulser studio
Access a visual, no-code interface for building and simulating quantum pulse sequences. Pulser Studio makes it easy to visualize, prototype, and understand quantum control without writing code.
Quantum Emulators
Simulate quantum experiments with Pasqal’s emulators, designed to mimic real device behavior. Whether locally or on the cloud, these tools help you develop, test, and refine quantum algorithms efficiently before deploying on actual hardware.
Simulation Platform
Emulate Locally or in the Cloud
Develop, test, and iterate quantum applications at scale—before running them on actual hardware. Pasqal’s emulators allow you to simulate quantum circuits on your local machine or securely in the cloud, supporting seamless development, troubleshooting, and scaling.
Flexible deployment
Pasqal’s software suite supports versatile deployment. Run experiments where it makes the most sense for you.
Local Development
Run emulators directly on your machine for rapid prototyping and testing
Pasqal Cloud
Secure cloud access to both emulators and quantum processing units
On-Premise QPU
Direct connection to your organization’s onsite Pasqal quantum hardware
Real world applications
Discover how organizations are leveraging Pasqal’s quantum software to solve complex challenges across industries, delivering measurable results.
Toxicology Screening
Pasqal’s QEK algorithm uses quantum machine learning on neutral atom hardware to efficiently predict chemical toxicity, demonstrating quantum potential in biochemical analysis.
QEK
MAchine learning
Smart Charging
With Pasqal’s quantum solvers, EDF optimized electric vehicle charging schedules and power distribution, increasing energy efficiency and cutting costs.
MIS
OPTIMIZATION
Early credit downgrade prediction
Pasqal helped Crédit Agricole CIB build quantum-powered models to detect early credit downgrades, enhancing risk management and financial decisions.
PULSER
SIMULATION
Network design
Pasqal and LINKS used a noise-resilient quantum-classical method to optimize cell identifier assignments in mobile networks with real quantum hardware.
MIS
OPTIMIZATION
Satellite Scheduling
Thales used Pasqal’s quantum software to enhance satellite task scheduling, boosting resource use and operational efficiency
MIS
OPTIMIZATION
Maritime and logistics Operations
Pasqal supports CMA CGM in optimizing maritime logistics and route planning, reducing costs and improving delivery times.
Emulators
OPTIMIZATION