Grant: Alliance Grants
University of Victoria
$1,000,000.00
Consortium on integrated Quantum photonics with ferroelectric materials
EF 2024-25
Résumé
The quanta of light, called photons, provide unique advantages for information processing and computing. Photons travel at the speed of light, enabling ultrafast operations in contrast to other quantum computing architectures. They can also carry quantum information over long distances as "flying qubits", needed for a future quantum internet. Despite these inherent advantages, photon-based quantum computers are much less developed than other quantum computing architectures such as atomic ion traps and superconducting circuits. The key obstacle is efficient generation of entanglement with low photon loss. Pioneering experiments circumvented this problem by using large crystals of ferroelectric materials with periodically-poled ferroelectric domains. Unfortunately, these experiments require an optical table which is not scalable to the large number of qubits required for a quantum computer with error correction. The goal of the Consortium on Integrated Quantum Photonics with Ferroelectric Materials is to translate quantum photonics from an optical table to a silicon chip by incorporating ferroelectric materials such as barium titanite (BaTiO3) and lithium niobate (LiNbO3) into silicon photonic chips. The proposal is strategic in that it brings together researchers from across industry and 6 Canadian universities with expertise in materials' growth using molecular beam epitaxy (MBE), photonic chip design and fabrication, theoretical modeling, and quantum optics experimentation. The end goal is to demonstrate two key primitives for photon-based quantum computing and quantum sensing: photon squeezing above the threshold for fault-tolerant quantum error correction, and photon cluster states. Our research will develop the devices required to make photonic quantum computing commercially viable in both discrete and continuous-variable approaches. It will help position Canada as a leader in chip-based quantum photonics and positively impact the industrial sectors key to everyday Canadian life by underpinning the technologies needed for secure communications, advanced sensors and quantum computing.
Programme
Alliance Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
587352-2023
Name nom
de Sousa, Rogério R
Department département
Physics and Astronomy
Organization id
7
Institution établissement
University of Victoria
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
1000000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2505
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Photon devices
Research subject fr
Dispositifs photoniques
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Consortium on integrated Quantum photonics with ferroelectric materials
Keywords
ferroelectric materials; integrated photonics; photon cluster states; quantum computing; quantum photonics; silicon; squeezed states of light
Application summary
The quanta of light, called photons, provide unique advantages for information processing and computing. Photons travel at the speed of light, enabling ultrafast operations in contrast to other quantum computing architectures. They can also carry quantum information over long distances as "flying qubits", needed for a future quantum internet. Despite these inherent advantages, photon-based quantum computers are much less developed than other quantum computing architectures such as atomic ion traps and superconducting circuits. The key obstacle is efficient generation of entanglement with low photon loss. Pioneering experiments circumvented this problem by using large crystals of ferroelectric materials with periodically-poled ferroelectric domains. Unfortunately, these experiments require an optical table which is not scalable to the large number of qubits required for a quantum computer with error correction. The goal of the Consortium on Integrated Quantum Photonics with Ferroelectric Materials is to translate quantum photonics from an optical table to a silicon chip by incorporating ferroelectric materials such as barium titanite (BaTiO3) and lithium niobate (LiNbO3) into silicon photonic chips. The proposal is strategic in that it brings together researchers from across industry and 6 Canadian universities with expertise in materials' growth using molecular beam epitaxy (MBE), photonic chip design and fabrication, theoretical modeling, and quantum optics experimentation. The end goal is to demonstrate two key primitives for photon-based quantum computing and quantum sensing: photon squeezing above the threshold for fault-tolerant quantum error correction, and photon cluster states. Our research will develop the devices required to make photonic quantum computing commercially viable in both discrete and continuous-variable approaches. It will help position Canada as a leader in chip-based quantum photonics and positively impact the industrial sectors key to everyday Canadian life by underpinning the technologies needed for secure communications, advanced sensors and quantum computing.