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Grant: Strategic Projects - Group

Institut national de la recherche scientifique

$189,000.00

Optical reservoir computing for machine learning at the speed of light

EF 2019-20

Résumé
In analogy to how today's standard laptops have far exceeded the first punch-card computers, this three-year project targets the advancement of quantum computers capable of succeeding under real-world conditions, based on the reliable control of complex quantum states via 'high-dimensional gate operations'. The proposed research will allow the university team from INRS-EMT and its industrial partners (Passat Ltd. and few-cycle Inc.) to lead international efforts in improving the performance of quantum information processing (QIP), while using practical and low-cost platforms that are highly demanded by industry and academia. These needs can be addressed by quantum optics, as one can store large amounts of information in single photons (particles of light), which can also be transmitted over long distances in standard, low-cost telecommunications fibers. Since, however, photon detection rates are significantly higher in the visible, we will link these two regimes by up-converting photon frequencies. Full control over photons is crucial for QIP, which nevertheless requires quantum gates that are challenging to build, unsuitable for practical use, and still limited in dimensionality (d=4). We aim to boost that to d=8, which is a significant milestone, similar to the information increase from 2D X-Ray images to full 3D CT-scans. We will achieve this goal through three steps: (I) efficient up-conversion of photons through a programmable and compact thermal control unit; (II) universal scheme for arbitrarily mixing the spectral components of classical light with full control of amplitude and phase in the frequency domain; (III) extension of this universal scheme to coherently manipulate photons and arbitrarily mix their frequencies for performing the targeted gate operations on one and two photons. The proposed technology and the training of highly-qualified personnel will contribute to keep Canada at the forefront of the rapidly moving ""quantum revolution"", thereby enhancing its leading position across critical sectors that vitally require powerful quantum computation platforms, such as advanced environmental sensing, high-precision chemical analysis, and increased security protocols.
Programme
Strategic Projects - Group
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
521395-2018
Name nom
Morandotti, Roberto
Department département
Énergie Matériaux Télécommunications, Centre - Varennes
Organization id
56
Institution établissement
Institut national de la recherche scientifique
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
189000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1588
Committee name en
Strategic Projects - ICT
Committee name fr
Projets stratégiques - ICT
Area of application code
803
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer communications
Area of application fr
Téléinformatique
Research subject code
3112
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Photonics
Research subject fr
Photonique
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
Optical reservoir computing for machine learning at the speed of light
Keyword
NSERC
Application summary
In analogy to how today's standard laptops have far exceeded the first punch-card computers, this three-year project targets the advancement of quantum computers capable of succeeding under real-world conditions, based on the reliable control of complex quantum states via 'high-dimensional gate operations'. The proposed research will allow the university team from INRS-EMT and its industrial partners (Passat Ltd. and few-cycle Inc.) to lead international efforts in improving the performance of quantum information processing (QIP), while using practical and low-cost platforms that are highly demanded by industry and academia. These needs can be addressed by quantum optics, as one can store large amounts of information in single photons (particles of light), which can also be transmitted over long distances in standard, low-cost telecommunications fibers. Since, however, photon detection rates are significantly higher in the visible, we will link these two regimes by up-converting photon frequencies. Full control over photons is crucial for QIP, which nevertheless requires quantum gates that are challenging to build, unsuitable for practical use, and still limited in dimensionality (d=4). We aim to boost that to d=8, which is a significant milestone, similar to the information increase from 2D X-Ray images to full 3D CT-scans. We will achieve this goal through three steps: (I) efficient up-conversion of photons through a programmable and compact thermal control unit; (II) universal scheme for arbitrarily mixing the spectral components of classical light with full control of amplitude and phase in the frequency domain; (III) extension of this universal scheme to coherently manipulate photons and arbitrarily mix their frequencies for performing the targeted gate operations on one and two photons. The proposed technology and the training of highly-qualified personnel will contribute to keep Canada at the forefront of the rapidly moving ""quantum revolution"", thereby enhancing its leading position across critical sectors that vitally require powerful quantum computation platforms, such as advanced environmental sensing, high-precision chemical analysis, and increased security protocols.