SciTransfer
QLASS · Project

High-Efficiency 3D Quantum Photonic Chips for Advanced Material Simulation

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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.

By the numbers
200
reconfigurable optical modes
5%
maximum interface losses
1000
phase shifters
200
cryogenic-detector channels
The business problem

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.

The solution

What was built

A 3D quantum photonic integrated circuit in glass and a software program to automatically map variational ansatz into circuit layouts.

Audience

Who needs this

Battery technology developersQuantum hardware manufacturersComputational chemistsOptical component suppliers
Business applications

Who can put this to work

Energy Storage
enterprise
Target: Battery Manufacturer

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.

Quantum Computing Hardware
SME
Target: Quantum Processor Developer

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.

Pharmaceuticals
enterprise
Target: Drug Discovery Firm

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.

Frequently asked

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.

Consortium

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.

How to reach the team

Contact Politecnico di Milano regarding the QLASS project

Next steps

Talk to the team behind this work.

Contact SciTransfer to connect with the QLASS consortium for early access to the VQA mapping software.