If you are a drug discovery firm dealing with complex molecular simulations — this project developed a quantum simulator with over 1000 neutral atoms that provides a practical advantage over traditional high-performance computing. This allows for faster and more accurate quantum chemistry modeling.
Large-Scale Quantum Simulators for Material Science and Industrial Optimization
Imagine trying to simulate how a complex new drug or battery material works using a standard computer; it's like trying to draw a 3D city on a flat piece of paper. This project builds a specialized machine that uses atoms as tiny building blocks to mirror nature exactly. By controlling thousands of these atoms, it can solve puzzles that would take today's fastest supercomputers forever to crack.
What needed solving
Classical supercomputers cannot efficiently simulate quantum-level interactions in materials and chemistry, leading to slow R&D cycles and high costs in drug and material discovery.
What was built
A software stack for control, verification, and validation of large-scale atomic quantum simulators, alongside hardware platforms using neutral atoms and trapped ions.
Who needs this
Who can put this to work
If you are a supply chain optimizer dealing with massive routing or scheduling problems — this project developed software stacks for analogue solutions to real-world optimization problems. This helps find the most efficient paths and schedules faster than classical systems.
If you are a battery material developer dealing with unstable chemical reactions — this project developed a programmable atomic simulator that can reach 2000 individual quantum systems. This enables the design of new materials with higher energy density and stability.
Quick answers
What is the cost or pricing for accessing these simulators?
Based on available project data, specific pricing is not mentioned, but the project aims to deliver cloud-based platforms and systems linked with existing high-performance computing infrastructure.
Can this be scaled for industrial use?
Yes, the project targets a scale of at least 2000 individual quantum systems and aims for 10000 quantum constituents by 2030.
How is the intellectual property and licensing handled?
The project includes a clear plan for developing and protecting intellectual property to facilitate the expansion of the supply chain and startup companies.
How long until these systems are ready for commercial use?
The project runs from 2023-04-01 to 2026-09-30, aiming for technology readiness levels of 6-7.
How does this integrate with current IT infrastructure?
The project is developing a software stack and user interfaces to link quantum simulators with existing high-performance computing infrastructure.
Who built it
The project is heavily geared toward commercialization, featuring a strong industry presence with 15 industrial partners (48% of the consortium), including 9 SMEs. With 31 partners across 8 European countries, the group balances academic research (16 partners) with technology enablers and end-users, ensuring that the hardware development is aligned with real-world industrial needs.
Max Planck Gesellschaft zur Förderung der Wissenschaften EV
Talk to the team behind this work.
Contact us to connect with the PASQuanS2.1 industrial consortium for early access to quantum simulation platforms.