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RoCCQeT · Project

Cloud-Based Quantum Computing for Faster Chemical and Material Design

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Imagine trying to solve a massive puzzle where the pieces constantly change shape; today's computers struggle with this. This technology uses a special kind of quantum hardware that mimics nature's own physics to find the right fit much faster. It's like having a specialized tool for a specific job rather than a general-purpose computer, making it easier to simulate complex molecules.

By the numbers
15
qubits in first generation processors
8–10 μs
coherence in initial measurements
3
qubits device demonstration
The business problem

What needed solving

Traditional computers cannot efficiently model the electronic behavior of complex molecules, which slows down the development of new medicines and batteries.

The solution

What was built

A full-stack quantum solution including fluxonium-based superconducting processors, a cloud-access API, and a web portal for running simulations.

Audience

Who needs this

Pharmaceutical R&D labsBattery material scientistsChemical engineering firmsQuantum software developers
Business applications

Who can put this to work

Pharmaceuticals
mid-size
Target: Drug discovery biotech

If you are a drug discovery biotech dealing with slow molecular simulation—this project developed analogue quantum processing units that accelerate the understanding of electronic behavior in medicines.

Energy Storage
enterprise
Target: Battery manufacturer

If you are a battery manufacturer dealing with inefficient material testing—this project developed a full-stack quantum solution that helps design better batteries through precise chemical simulation.

Green Chemistry
SME
Target: Sustainable materials startup

If you are a sustainable materials startup dealing with high R&D costs for cleaner energy tech—this project developed a Quantum as a Service suite to run complex simulations via the cloud.

Frequently asked

Quick answers

What is the cost or pricing model for this technology?

Based on available project data, the specific pricing is not listed, but the project developed a 'Quantum as a Service' (QaaS) model providing cloud access via a Public API.

Can this be scaled to industrial levels?

The project focused on scalable hardware using flip-chip integration and has already fabricated processors with up to 15 qubits to improve routing for larger devices.

How is the IP handled or licensed?

Based on available project data, specific licensing terms are not provided, but the technology is developed by a Spanish SME, Qilimanjaro Quantum Tech SL.

How does this integrate into existing company workflows?

It integrates via a modular control stack and a cloud pathway featuring a Public API and a web portal for external users.

What is the timeline for commercial availability?

The project period runs from 2023-03-01 to 2025-08-31, aiming for a technology ready to deliver value as soon as the project ends.

Consortium

Who built it

The project is led by a single Spanish SME, Qilimanjaro Quantum Tech SL, representing a 100% industry ratio. This lean structure suggests a highly focused commercial drive, as the company is managing the entire stack from hardware fabrication to cloud software delivery without relying on academic partners.

How to reach the team

Contact Qilimanjaro Quantum Tech SL in Spain

Next steps

Talk to the team behind this work.

Contact us to explore QaaS integration for your chemical simulations.