Tools

Run your own quantum simulations with our cutting edge programming tools.

Pulser

Open-source
Analog quantum simulations
Easy-to-use libraries

Discover Pulser, a versatile open-source Python software package designed for creating and simulating pulse sequences on programmable arrays of neutral atoms. Supporting digital-analog quantum computations, design and simulate pulse sequences seamlessly. Precisely manage qubit control interactions to enable high-fidelity simulations that mirror actual quantum processing units. Ideal for researchers and developers looking to deepen the transition from theoretical algorithms to practical quantum applications, making advanced quantum computing more accessible and efficient.

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Pulser Studio

Zero-code platform
Free to use
A unique user experience

Pulser Studio is an intuitive no-code interface ideal for rapidly prototyping and exploring neutral-atom quantum algorithms without requiring deep technical knowledge. Define the register shape or arrangement of qubits to your needs, providing unparalleled control over quantum register layouts. Choose specific pulses to simulate both analog and digital quantum computations, to help further understand quantum dynamics and gain valuable insights into quantum hardware capabilities.

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QEK

Quantum-driven graph learning
For beginners & experts
Scalability for Complex Datasets

Quantum Evolution Kernel is an open-source Python library for integrating quantum-driven similarity metrics into graph-based machine learning. It does not only simplify the use of quantum features, it proposes a way to extract features for graphs using a quantum simulation, following the framework from "Quantum feature maps for graph machine learning on a neutral atom quantum processor" . Designed for both beginners and experts, it provides an intuitive interface to explore quantum-enhanced graph learning with Pasqal's Neutral Atom QPU.

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