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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. 

Design, emulate, and deploy quantum applications with a full-stack software suite optimized for real use cases.

Pasqal’s quantum solvers provide ready-to-use algorithms designed to address challenging problems in mathematical optimization and machine learning. They enable faster, more effective solutions by leveraging quantum-inspired techniques tailored to real-world scenarios and let you learn how to bring the value of hybrid classical-quantum algorithms to your business or research.

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.

Pasqal Quantum-Evlution-Kernel

Discover how organizations are leveraging Pasqal’s quantum software to solve complex challenges across industries, delivering measurable results.

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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

Charging electric car-icon

Smart Charging

With Pasqal’s quantum solvers, EDF optimized electric vehicle charging schedules and power distribution, increasing energy efficiency and cutting costs.

MIS

OPTIMIZATION

Pasqal-illustration-small-Research results

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

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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

Pasqal-illustration-small-Neutral atoms

Satellite Scheduling

Thales used Pasqal’s quantum software to enhance satellite task scheduling, boosting resource use and operational efficiency

MIS

OPTIMIZATION

Logistics Operations

Pasqal supports CMA CGM in optimizing maritime logistics and route planning, reducing costs and improving delivery times. 

Emulators

OPTIMIZATION

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