Quantum Optical Networks based on Exciton-polaritons
Q-ONE aims to develop a novel quantum neural network in integrated photonic devices for generating and characterizing quantum states, advancing quantum technology through a reconfigurable platform.
Projectdetails
Introduction
One of the main needs in Quantum Optics and Quantum Information is the ability to generate, manipulate, and characterize arbitrary quantum states both in discrete and continuous variable domains. Q-ONE aims at exploring a novel approach for sensing and generating quantum states of light based on quantum neural networks (QNN) in integrated photonic devices.
Objectives
This proposal has the ambition to solve one of the most interesting problems of quantum mechanics: the recognition of quantum states of photons, like Fock states or entangled pairs, without the need for correlation measurements.
Reversibility of the Platform
Moreover, our platform has the ability to be reversible:
- By injecting a quantum state into the QNN, the output gives access to the full characterization of the input quantum state.
- Conversely, with a classical state of light as input (a coherent state, emitted by a laser), an arbitrary quantum state can be generated on demand at the output of the QNN.
This is all realized in a single device.
Project Framework
The project idea places itself at the frontier between quantum physics and applied artificial intelligence, building on top of state-of-the-art semiconductor material growth and processing. The consortium targets the realization of a novel device based on strongly interacting photons (exciton-polaritons) that, using principles of neuromorphic computing, is able to recognize, characterize, and generate a variety of quantum states.
Innovative Approach
Importantly, we propose to exploit the properties of a quantum neural network which is able to identify and generate quantum states without the need to reach extreme single-particle interaction strengths. This innovative idea relies on the physical realization rather than the simulations of a massively parallel computing task.
Conclusion
If successful, the Q-ONE approach will enable the realization of a completely new, fully reconfigurable, and reversible universal quantum platform which will significantly advance the state of the art in the field of Quantum Technologies.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 3.980.960 |
Totale projectbegroting | € 3.980.960 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CONSIGLIO NAZIONALE DELLE RICERCHEpenvoerder
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
- UNIWERSYTET WARSZAWSKI
- HEWLETT PACKARD ENTERPRISE BELGIUM
- CENTRUM FIZYKI TEORETYCZNEJ POLSKIEJ AKADEMII NAUK
- SORBONNE UNIVERSITE
- UNIVERSITAT LINZ
- NANYANG TECHNOLOGICAL UNIVERSITY
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Neuromorphic Polariton AcceleratorPolArt aims to develop artificial intelligence circuits using room-temperature exciton-polariton neural networks as optical accelerators for efficient neuromorphic computation in compact devices. | EIC Pathfinder | € 2.997.641 | 2024 | Details |
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnidesThis project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies. | EIC Pathfinder | € 2.675.838 | 2024 | Details |
RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURERESPITE aims to develop a compact, scalable neuromorphic computing platform integrating vision and cognition on a single chip using superconducting technologies for ultra-low power and high performance. | EIC Pathfinder | € 2.455.823 | 2023 | Details |
Nano electro-optomechanical programmable integrated circuitsNEUROPIC aims to develop a programmable photonic chip architecture for diverse applications, leveraging nanoelectromechanical technologies to enhance efficiency and enable neuromorphic computing. | EIC Pathfinder | € 2.999.924 | 2023 | Details |
Neuromorphic Polariton Accelerator
PolArt aims to develop artificial intelligence circuits using room-temperature exciton-polariton neural networks as optical accelerators for efficient neuromorphic computation in compact devices.
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnides
This project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies.
RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE
RESPITE aims to develop a compact, scalable neuromorphic computing platform integrating vision and cognition on a single chip using superconducting technologies for ultra-low power and high performance.
Nano electro-optomechanical programmable integrated circuits
NEUROPIC aims to develop a programmable photonic chip architecture for diverse applications, leveraging nanoelectromechanical technologies to enhance efficiency and enable neuromorphic computing.
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