Grant: Alliance Grants
University of Waterloo
$107,500.00
Canada-UK Quantum Technologies call: Making noisy quantum processors practical: from theory to applications
EF 2023-24
Résumé
Quantum computers harness the strange features of quantum mechanical systems in order to solve computational problems that cannot be solved using current (classical) computing technology. The most well-known task where quantum computers outperform classical computers is factoring large numbers, which can be used for breaking encryption. Quantum computers also naturally excel at simulating quantum systems, a notoriously difficult computational problem that has applications in materials science and drug design. The potential of quantum computers has attracted investments from technology giants including Google, IBM and Amazon, as well as from national governments and venture capitalists. Quantum technology has matured to the point where researchers now have excellent control over the elementary building blocks of a quantum computer: quantum bits (qubits). Unfortunately, state-of-the-art quantum processors still suffer from errors caused by unwanted interaction of the fragile qubits with their environment. In our project, we are developing robust implementations of quantum algorithms that can run successfully on today's error-prone quantum processors. Our project unites experts in industry and academia with extensive experience in quantum computing. The industrial partners two quantum software start-ups: Phasecraft, based in London (UK) and Quantum Benchmark, based in Kitchener (Canada). PhaseCraft has world-leading expertise in designing error-resilient algorithms for near-term quantum computing hardware. Quantum Benchmark is the leading provider of software tools for characterizing the errors that occur in different quantum processors, delivering a deep understanding of the capabilities and limitations of different quantum processors. The academic partners are the University of Waterloo, University College London, and Perimeter Institute for Theoretical Physics. All three are leading quantum computing research centres, with particular strength in the fields of quantum error correction and fault-tolerant quantum computing. Together, our work will hasten the demonstration of quantum advantage for industrially relevant problems such as the simulation of quantum systems.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
556319-2020
Name nom
Laflamme, Raymond R
Department département
Physics and Astronomy
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
107500
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1624
Committee name en
Canada-UK joint call on Quantum Technologies (QT)
Committee name fr
Appel de propositions conjoint entre le Canada et le Royaume-Uni sur les technologies quantiques (TQ
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
2700
Research subject group en
Information technology
Research subject group fr
Information technology
Research subject en
Technologie de l'information
Research subject fr
Technologie de l'information
Application title
Canada-UK Quantum Technologies call: Making noisy quantum processors practical: from theory to applications
Keyword
Implementation of Quantum Computers; Noise Characterization; Quantum Algorithms; Quantum Computing; Quantum Control; Quantum Error Correction; Quantum Information Science; Quantum Processors
Application summary
Quantum computers harness the strange features of quantum mechanical systems in order to solve computational problems that cannot be solved using current (classical) computing technology. The most well-known task where quantum computers outperform classical computers is factoring large numbers, which can be used for breaking encryption. Quantum computers also naturally excel at simulating quantum systems, a notoriously difficult computational problem that has applications in materials science and drug design. The potential of quantum computers has attracted investments from technology giants including Google, IBM and Amazon, as well as from national governments and venture capitalists. Quantum technology has matured to the point where researchers now have excellent control over the elementary building blocks of a quantum computer: quantum bits (qubits). Unfortunately, state-of-the-art quantum processors still suffer from errors caused by unwanted interaction of the fragile qubits with their environment. In our project, we are developing robust implementations of quantum algorithms that can run successfully on today's error-prone quantum processors. Our project unites experts in industry and academia with extensive experience in quantum computing. The industrial partners two quantum software start-ups: Phasecraft, based in London (UK) and Quantum Benchmark, based in Kitchener (Canada). PhaseCraft has world-leading expertise in designing error-resilient algorithms for near-term quantum computing hardware. Quantum Benchmark is the leading provider of software tools for characterizing the errors that occur in different quantum processors, delivering a deep understanding of the capabilities and limitations of different quantum processors. The academic partners are the University of Waterloo, University College London, and Perimeter Institute for Theoretical Physics. All three are leading quantum computing research centres, with particular strength in the fields of quantum error correction and fault-tolerant quantum computing. Together, our work will hasten the demonstration of quantum advantage for industrially relevant problems such as the simulation of quantum systems.