technology
The race to
quantum advantage
Quantum advantage is an exploration
This kind of mission calls for…
Engineering
Ambition
Collaboration
Quantum advantage occurs when quantum computers, combined with classical ones, solve real-world problems faster, more energy-efficiently, or more accurately than classical alone—with fully verifiable, trustworthy results.
Pasqal aims to reach this through precise control of our neutral-atom hardware, proven by deep characterization and performance benchmarks.
Reaching new uncharted territories
Pasqal deploys enterprise-grade quantum computers at HPC centers like Jülich and CEA, demonstrating control over 250+ physical qubits with low noise.
From Europe’s first logical qubits on neutral atom platform to verifiable performance beyond classical limits, Pasqal’s engineering-driven roadmap delivers impact today while scaling to fault-tolerant quantum computing.
A practical framework for measurable progress
Pasqal developed together with IBM Quantum a comprehensive Quantum Advantage Framework that defines what trustworthy quantum advantage truly means—setting clear, measurable criteria to verify results and quantify performance beyond classical computing.
Bringing quantum materials into focus
Atom-thin materials like graphene and 2D magnets promise breakthroughs in energy storage and flexible electronics. Classical simulations fail on their complex quantum correlations.
Pasqal’s neutral-atom processors act as quantum microscopes, mimicking these systems—our latest work shows materials simulation as the clearest path to near-term quantum advantage under the IBM framework.
Scale matters. But control is what makes it science
Simulating real materials on quantum processors moves from vision to reality with Pasqal’s neutral-atom control over 324 entangled qubits.
This milestone preserves quantum coherence at scale, enabling real-time study of complex systems beyond classical methods for materials discovery.
Backed by science
Pasqal’s quantum advantage path rests on three key preprints advancing materials simulation: hybrid quantum-classical methods for complex models, rigorous benchmarks against state-of-the-art classical simulations, and analysis of energy/runtime gaps where advantage emerges soon.
Auxiliary spin
Hybrid quantum-classical analog simulation of two-dimensional Fermi-Hubbard models with neutral atoms
arXiv 2510.05897
October 7, 2025
NUMERICS BENCHMARKS
Simulating dynamics of the two-dimensional transverse-field Ising model: a comparative study of large-scale classical numerics
arXiv 2511.20388
November 24, 2025
energy consumption
Resource assessment of classical and quantum hardware for post-quench dynamics
arXiv 2511.19340
November 25, 2025