If you are a battery manufacturer dealing with inefficient energy density in lithium-ion cells — this project developed a quantum photonic platform that simulates molecular dynamics to improve capacity and efficiency.
High-Efficiency 3D Quantum Photonic Chips for Advanced Material Simulation
Imagine trying to build a complex maze for light inside a piece of glass using a super-fast laser. This project creates a way to guide light particles with almost no leaks, allowing them to perform calculations that regular computers find impossible. It's like upgrading from a flat map to a 3D city to solve incredibly complex puzzles about how molecules behave.
What needed solving
Classical computers cannot efficiently simulate complex quantum systems, such as those in lithium-ion batteries, and current quantum chips suffer from high signal loss and lack of scalability.
What was built
A 3D quantum photonic integrated circuit in glass and a software program to automatically map variational ansatz into circuit layouts.
Who needs this
Who can put this to work
If you are a hardware developer dealing with high signal loss between chips — this project developed 3D glass circuits with interface losses under 5% to enable scalable modular architectures.
If you are a research firm dealing with the inability of classical computers to model complex quantum mechanical systems — this project developed a QPIC platform to characterize these systems efficiently.
Quick answers
How much does this technology cost to produce?
Based on available project data, the use of femtosecond laser writing in glass is described as an affordable method compared to other quantum photonic integrated circuit techniques.
Can this be scaled for industrial use?
The project focuses on modular, scalable architectures using glass to keep interface losses below 5%, which supports the connection of multiple chips.
Who owns the IP and how is it licensed?
Based on available project data, specific licensing terms are not provided, but the consortium includes 4 industry partners and 2 SMEs who may hold joint IP.
How does this integrate with existing software?
The project is building a computer program that automatically maps variational quantum algorithms into a physical photonic circuit layout for end users.
What is the development timeline?
The project is active from 2024-01-01 to 2026-12-31.
Who built it
The consortium is well-balanced for technology transfer, featuring a 44% industry ratio with 4 industrial partners and 2 SMEs. This mix of 9 partners across Italy, Germany, and France suggests a strong pipeline from academic research (3 universities, 2 research centers) to commercial application, particularly in the specialized field of laser physics and amorphous solids.
Contact Politecnico di Milano regarding the QLASS project
Talk to the team behind this work.
Contact SciTransfer to connect with the QLASS consortium for early access to the VQA mapping software.