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Pasqal (pasqal)

Pasqal is a French neutral-atom quantum computing company headquartered in Palaiseau, France and co-founded in 2019 by 2022 Physics Nobel Laureate Alain Aspect. Pasqal builds commercial-grade neutral-atom quantum processors (the Fresnel QPU family) that use arrays of laser-trapped Rydberg atoms to run both analog and digital quantum programs, and packages them as on-premise systems and as Pasqal Cloud Services — a pay-as-you-go quantum computing platform also distributed through Google Cloud, Microsoft Azure Quantum, OVHcloud, and AWS partners. The developer surface is anchored by the open-source Pulser SDK, the pasqal-cloud Python SDK, and the Pasqal Cloud Services REST API.

URL: Visit APIs.json

Run: Capabilities Using Naftiko

Tags

Quantum Computing, Neutral Atom, Quantum, QPU, Rydberg, Pulse-Level Control, Analog Quantum, Digital Quantum, HPC, Optimization, Quantum Machine Learning, Quantum Simulation, France

Timestamps

  • Created: 2026-05-24
  • Modified: 2026-05-24

APIs

Pasqal Cloud Services API

REST API for Pasqal Cloud Services — submit and manage quantum Batches and Jobs on Pasqal Fresnel QPUs and on emulator backends (EMU-FREE, EMU-TN, EMU-MPS, EMU-SV), query Devices and Device Specifications, run custom Workloads, and manage Projects, Members, Contracts, Credit Pools, and Monthly Credit Consumption. Endpoints are organized under /api/v1 and /api/v2. Authentication is Auth0-based.

Human URL: https://docs.pasqal.com/cloud/

Pulser SDK

Apache-2.0 open-source Python framework for composing, simulating, and executing pulse sequences on neutral-atom quantum devices. Supports digital quantum computing and analog quantum simulation; ships with pulser_simulation (QuTiP-based emulation); integrates with pasqal-cloud via pulser-pasqal. Current release v1.8.0 (May 2026).

Human URL: https://pulser.readthedocs.io

Qadence SDK

Higher-level digital-analog quantum programming interface for writing variational quantum programs with tunable qubit interactions on neutral-atom hardware. Ecosystem includes qadence-libs, qadence-protocols, qadence2-core/-ir/-expressions/-platforms, pyqtorch (PyTorch state-vector simulator), and horqrux (JAX simulator).

Human URL: https://pasqal-io.github.io/qadence/

Quantum Evolution Kernel (QEK)

Open-source graph machine learning library that uses quantum-driven similarity metrics derived from neutral-atom dynamics to build graph kernels for classification and regression.

QUBO Solver

Quadratic Unconstrained Binary Optimization solver library combining classical heuristics with quantum and quantum-inspired approaches on Pasqal neutral-atom hardware.

Maximum Independent Set Solver

MIS solver library exploiting the natural mapping of MIS onto Rydberg-blockade dynamics of neutral-atom QPUs.

QoolQit SDK

Python package for simplified algorithm development in the Rydberg Analog Model on neutral-atom hardware — a more approachable layer above Pulser for analog quantum algorithm authors.

Pasqal Emulators (EMU-MPS, EMU-SV)

PyTorch-based GPU-accelerated emulator monorepo housing EMU-MPS (matrix-product-state, 60-100 qubits) and EMU-SV (high-precision state-vector). Available locally and as Pasqal Cloud Services backends.

Features

  • Fresnel QPU — Pasqal's commercial neutral-atom quantum processor based on arrays of laser-trapped Rydberg atoms, scaling toward 1000+ atoms
  • Dual analog and digital quantum computing on a single neutral-atom architecture
  • Pulser open-source SDK (Apache-2.0) for pulse-level / analog programming
  • Pasqal Cloud Services REST API for batches, jobs, workloads, devices, projects, members, billing
  • pasqal-cloud Python SDK wrapping the Cloud Services REST API
  • Qadence digital-analog programming interface with PyTorch (pyqtorch) and JAX (horqrux) backends
  • Pulser Studio no-code visual programming environment
  • EMU-MPS and EMU-SV GPU-accelerated emulators (60-100 qubits)
  • Quantum Evolution Kernel (QEK) graph machine learning library
  • QUBO and Maximum Independent Set application libraries mapped to Rydberg-blockade dynamics
  • Auth0 authentication with username/password, token-provider, and Auth0TokenProvider flows
  • Credits-based pay-as-you-go billing via Credit Pools and Monthly Credit Consumption endpoints
  • NVIDIA CUDA-Q integration for hybrid quantum-HPC workflows
  • Multi-cloud distribution through Google Cloud, Microsoft Azure Quantum, OVHcloud, and AWS partners
  • On-premise deployment of commercial-grade neutral-atom quantum computers
  • May 2026 industry-first demonstration of neutral-atom logical qubits outperforming physical qubits

Use Cases

  • Combinatorial optimization (QUBO, MIS) for logistics, smart charging, routing, scheduling
  • Quantum machine learning via graph kernels (QEK) and variational models (Qadence)
  • Quantum chemistry and materials simulation via analog Hamiltonian methods
  • Drug discovery and molecular docking (partnership with True Nexus)
  • Finance and risk modeling
  • Smart charging and energy-grid optimization
  • Hybrid quantum-HPC workloads with CINECA, GENCI, EuroHPC centers
  • Space mission optimization (smo-qubo)

Integrations

NVIDIA CUDA-Q, Microsoft Azure Quantum (pulser-azure), Google Cloud Marketplace, AWS partners, IBM partnership, OVHcloud, Atos/Eviden myQLM (Pulser-myQLM), CINECA / GENCI / EuroHPC supercomputing centers, Saudi Aramco MENA platform.

Solutions

  • Pasqal Cloud Services — pay-as-you-go cloud access to Fresnel QPUs and emulators
  • On-premise neutral-atom quantum computers for customer facilities
  • Pulser Studio — no-code visual programming environment
  • Quantum application libraries — QEK, QUBO-Solver, MIS, smo-qubo, Molecular-Docking

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