Grant: Alliance Grants
University of Waterloo
$334,322.00
Towards large-scale spin qubit quantum computers: simulation, modeling and experiment
EF 2023-24
Résumé
Quantum computing (QC) has advanced significantly, with recent demonstration of small-scale prototypes ranging from several to ~100 physical qubits (i.e. the basic computation units in QC). However, the critical challenge lies in the implementation of large-scale (LS) QC systems with millions of qubits that are uniformly integrated and accurately controlled. To overcome this bottleneck and work towards achieving quantum supremacy, it is crucial to develop sophisticated design and simulation tools for automated design, and address the issue of variation, which directly impacts yield, cost, and feasibility. In partnership with Nanoacademic Technologies, a pioneering company in quantum hardware simulation, we propose to tackle these primary challenges through a combination of simulation, modeling, and experimental approaches. We will target spin qubits, a semiconductor-based quantum technology that offers unique advantages for LS integration, thanks to its high-density and compatibility with well-established complementary metal-oxide-semiconductor (CMOS) integrated circuits. Through three interrelated thrusts, we aim to (1) develop state-of-the-art numerical simulation tools that account for process variation, material varieties, and qubit structural differences, (2) create compact models and design frameworks for qubits and cryogenic CMOS, enabling holistic simulation and design of QC/CMOS systems while accounting for variation effects, and (3) conduct experimental investigations to validate the model and demonstrate a scalable spin qubit QC solution.The anticipated outcome is a comprehensive toolkit addressing the challenges from device technology to system design for spin qubits, which is currently lacking but necessary for the development of LS quantum computers. The technological innovations, with a clear commercialization path, will benefit the global quantum community and accelerate the development of LS QC, further enhancing Canada's leadership in QC. The highly qualified personnel will receive extensive training in multidisciplinary knowledge, industry-ready skills, and equity, diversity, and inclusion practices, positioning them as future leaders in the quantum field.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
586297-2023
Name nom
Wei, Lan L
Department département
Electrical & Computer Engineering
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
2023
Award amount
334322
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
3312
Research subject group en
Condensed matterphysics
Research subject group fr
Mesoscopic physics
Research subject en
Physique de la matière condensée
Research subject fr
Physique mésoscopique
Application title
Towards large-scale spin qubit quantum computers: simulation, modeling and experiment
Keyword
compact model; cryogenic CMOS; electronic transport; Quantum dots; semiconductor qubits; spin qubits; statistical model
Application summary
Quantum computing (QC) has advanced significantly, with recent demonstration of small-scale prototypes ranging from several to ~100 physical qubits (i.e. the basic computation units in QC). However, the critical challenge lies in the implementation of large-scale (LS) QC systems with millions of qubits that are uniformly integrated and accurately controlled. To overcome this bottleneck and work towards achieving quantum supremacy, it is crucial to develop sophisticated design and simulation tools for automated design, and address the issue of variation, which directly impacts yield, cost, and feasibility. In partnership with Nanoacademic Technologies, a pioneering company in quantum hardware simulation, we propose to tackle these primary challenges through a combination of simulation, modeling, and experimental approaches. We will target spin qubits, a semiconductor-based quantum technology that offers unique advantages for LS integration, thanks to its high-density and compatibility with well-established complementary metal-oxide-semiconductor (CMOS) integrated circuits. Through three interrelated thrusts, we aim to (1) develop state-of-the-art numerical simulation tools that account for process variation, material varieties, and qubit structural differences, (2) create compact models and design frameworks for qubits and cryogenic CMOS, enabling holistic simulation and design of QC/CMOS systems while accounting for variation effects, and (3) conduct experimental investigations to validate the model and demonstrate a scalable spin qubit QC solution.The anticipated outcome is a comprehensive toolkit addressing the challenges from device technology to system design for spin qubits, which is currently lacking but necessary for the development of LS quantum computers. The technological innovations, with a clear commercialization path, will benefit the global quantum community and accelerate the development of LS QC, further enhancing Canada's leadership in QC. The highly qualified personnel will receive extensive training in multidisciplinary knowledge, industry-ready skills, and equity, diversity, and inclusion practices, positioning them as future leaders in the quantum field.