Pasqal Documentation

Pasqal's Software Stack

Quantum Applications

Ready-to-use libraries built around quantum-hybrid algorithms tailored to problem classes as combinatorial optimization, dynamical system simulation, or quantum-inspired machine learning, bridging customer needs to quantum solutions.

Quantum Applications

OptimizationMIS, QUBO

Graph MLQEK

SimulationPlanned 2026

Quantum SDKs

Python libraries to design and run quantum algorithms on neutral-atom hardware. Build and control pulse sequences with Pulser, or use high-level abstractions with QoolQit to focus on your application.

Quantum SDKs

Library & Studio

Execution

Run your algorithms on Pasqal’s quantum cloud (QPU) or test them on remote or local emulators before deploying to hardware.

Execution

QPURemote Emulators

Remote Execution

Local Emulators (on PC)

Quick Links

Quantum Applications

MIS

Solve Maximum Independent Set problems for optimization in logistics and scheduling.

QEK

Quantum-powered graph machine learning for AI and biochemical analysis.

QUBO

Tackle complex optimization problems in finance, economics, and ML.

Quantum SDKs

QoolQit

Simplified algorithm development for neutral atom quantum computers.

Pulser

Design and simulate pulse sequences for quantum computation and simulations.

Pulser Studio

Zero-code visual platform to program quantum computers without coding.

Execution

Pasqal Cloud

Execute quantum jobs on QPUs or emulators via our cloud platform.

EMU MPS

GPU-accelerated emulator for 60-100 qubit systems with high efficiency.

EMU SV

High-precision state vector emulator for algorithm testing and research.