Grant: Discovery Grants Program - Individual
University of Waterloo
$70,000.00
Tensor networks for quantum matter, quantum fields, and holography
EF 2019-20
Résumé
Quantum Mechanics provides us with the basic rules of how microscopic objects behave at the atomic and subatomic scales. However, when we place many such quantum objects together, we are not capable of theoretically predicting how they will behave collectively. For instance, even though we know that the electrons in a class of high-temperature superconducting materials (called cuprates) obey the laws of Quantum Mechanics, and believe that we have an accurate microscopic model for how they interact with each other, we have not yet been able to derive the emergence of superconductivity from that microscopic model. Tensor networks are a new way of representing the collective state of quantum many-body systems, based on recent improvements in our understanding of quantum entanglement. ***This Discovery Grant will advance and further develop the tensor network formalism in three important directions. Firstly, for quantum matter on the lattice (e.g. a lattice model of quantum spins for antiferromagnetic materials). Tensor networks were originally developed for lattice models of quantum matter, which are simplified models believed to capture the essential features of a many-body system. Secondly, for quantum fields directly in the continuum. Tensor networks for continuous systems are currently under construction, and could revolutionize how we think about and compute with strongly interacting quantum fields. Thirdly, tensor networks will be investigated as a realization of the holographic principle, which relates a theory of quantum gravity with a quantum field theory.***Thus, through a bold, multi-disciplinary research program in theoretical physics, this Discovery Grant aims to further strengthening Canada's leading role and international visibility in the areas of condensed matter, quantum information, computational physics, and high energy physics. The Grant will also contribute significantly to the training of highly qualified personnel, which will be exposed to fore-front research by leading experts in one of the world's most prestigious institutes for theoretical physics. ***********
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2017-04209
Name nom
VidalBonafont, Guifre
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
2019
Competition year année de concours
2017
Award amount
70000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1505
Committee name en
Physics
Committee name fr
Physique
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
3100
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Physics
Research subject fr
Physique
Installment
inst:3 - 5
Partie
3
Nb partie
5
Application title
Tensor networks for quantum matter, quantum fields, and holography
Keyword
NSERC
Application summary
Quantum Mechanics provides us with the basic rules of how microscopic objects behave at the atomic and subatomic scales. However, when we place many such quantum objects together, we are not capable of theoretically predicting how they will behave collectively. For instance, even though we know that the electrons in a class of high-temperature superconducting materials (called cuprates) obey the laws of Quantum Mechanics, and believe that we have an accurate microscopic model for how they interact with each other, we have not yet been able to derive the emergence of superconductivity from that microscopic model. Tensor networks are a new way of representing the collective state of quantum many-body systems, based on recent improvements in our understanding of quantum entanglement. ***This Discovery Grant will advance and further develop the tensor network formalism in three important directions. Firstly, for quantum matter on the lattice (e.g. a lattice model of quantum spins for antiferromagnetic materials). Tensor networks were originally developed for lattice models of quantum matter, which are simplified models believed to capture the essential features of a many-body system. Secondly, for quantum fields directly in the continuum. Tensor networks for continuous systems are currently under construction, and could revolutionize how we think about and compute with strongly interacting quantum fields. Thirdly, tensor networks will be investigated as a realization of the holographic principle, which relates a theory of quantum gravity with a quantum field theory.***Thus, through a bold, multi-disciplinary research program in theoretical physics, this Discovery Grant aims to further strengthening Canada's leading role and international visibility in the areas of condensed matter, quantum information, computational physics, and high energy physics. The Grant will also contribute significantly to the training of highly qualified personnel, which will be exposed to fore-front research by leading experts in one of the world's most prestigious institutes for theoretical physics. ***********