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Grant: Alliance Grants

Université de Sherbrooke

$142,918.00

Quantum artificial intelligence with neutral atoms

FY 2024-25

Summary
Turing's mathematical concept of a universal computing machine revolutionized science, technology, and business across the globe. For Turing's vision to materialize into the general-purpose computer, algorithms that could exploit the limited capabilities of early digital computers were crucial. Hardware and software innovation thus progressed in tandem for decades to usher in the Information Age. As the digital revolution was unraveling, a new computing notion - the universal quantum computer - was conceived, promising another technological boom. Mirroring the early digital age, quantum computing today hinges on algorithms that fully exploit limited hardware, which is also inherently sensitive to environmental noise. Inventing these algorithms is a decisive challenge in quantum science. Already in the early digital age, Turing envisioned machines that learn and reason. Today, we live in the age of artificial intelligence (AI), arguably the most disruptive technology since agriculture. The importance of successfully deploying the most powerful computing paradigm allowed by known physics to AI technologies can hardly be overstated. The main objective of this project is to deliver algorithmic primitives for quantum AI with neutral atoms. Concretely, the specific objectives of the proposed research are to elucidate dynamical phenomena governing information flow in neutral atom quantum processors, employ these phenomena as algorithmic components for classically intractable AI workloads, and certify the utility of developed methods via high-performance classical simulation benchmarks. The outcomes of this project will be fundamental physical principles for the description of Rydberg-blockaded neutral-atom arrays, efficient analog quantum primitives for machine learning and intelligent agent design, and standardized benchmarks for quantum advantage certification. In achieving its objectives, this project will provide enabling innovations for near- to mid-term quantum AI at industrial scale, a prospect with significant impacts for Canada and the world.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
597653-2024
Name nom
Kourtis, Stefanos S
Department département
Institut quantique (IQ)
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
142918
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
1202
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Physical sciences
Area of application fr
Sciences physiques
Research subject code
3153
Research subject group en
Theoretical physics and chemistry
Research subject group fr
Physique et chimie théoriques
Research subject en
Classical and quantum physics
Research subject fr
Physique classique et quantique
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
Quantum artificial intelligence with neutral atoms
Keywords
artificial intelligence; machine learning; probabilistic inference; quantum algorithms; quantum computing; quantum simulation; reinforcement learning; rydberg atom computing; strongly correlated systems; tensor networks
Application summary
Turing's mathematical concept of a universal computing machine revolutionized science, technology, and business across the globe. For Turing's vision to materialize into the general-purpose computer, algorithms that could exploit the limited capabilities of early digital computers were crucial. Hardware and software innovation thus progressed in tandem for decades to usher in the Information Age. As the digital revolution was unraveling, a new computing notion - the universal quantum computer - was conceived, promising another technological boom. Mirroring the early digital age, quantum computing today hinges on algorithms that fully exploit limited hardware, which is also inherently sensitive to environmental noise. Inventing these algorithms is a decisive challenge in quantum science. Already in the early digital age, Turing envisioned machines that learn and reason. Today, we live in the age of artificial intelligence (AI), arguably the most disruptive technology since agriculture. The importance of successfully deploying the most powerful computing paradigm allowed by known physics to AI technologies can hardly be overstated. The main objective of this project is to deliver algorithmic primitives for quantum AI with neutral atoms. Concretely, the specific objectives of the proposed research are to elucidate dynamical phenomena governing information flow in neutral atom quantum processors, employ these phenomena as algorithmic components for classically intractable AI workloads, and certify the utility of developed methods via high-performance classical simulation benchmarks. The outcomes of this project will be fundamental physical principles for the description of Rydberg-blockaded neutral-atom arrays, efficient analog quantum primitives for machine learning and intelligent agent design, and standardized benchmarks for quantum advantage certification. In achieving its objectives, this project will provide enabling innovations for near- to mid-term quantum AI at industrial scale, a prospect with significant impacts for Canada and the world.
Université de Sherbrooke - $142,918 Grant (2024-25) | Canada Spends