Browsing University of Waterloo by Supervisor "Melko, Roger"
Now showing items 1-12 of 12
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Aspects of Anomaly in Condensed Matter Physics
(University of Waterloo, 2023-05-30)Anomalies have proven to be an important tool for unraveling the enigmatic properties of strongly-coupled condensed matter systems. Especially, it provides powerful constraints on the emergibility problem, i.e., whether a ... -
Augmenting Quantum Mechanics with Artificial Intelligence
(University of Waterloo, 2018-12-04)The simulation of quantum matter with classical hardware plays a central role in the discovery and development of quantum many-body systems, with far-reaching implications in condensed matter physics and quantum technologies. ... -
Data-driven and Hamiltonian-driven Quantum Simulations with Generative Models
(University of Waterloo, 2022-01-12)In the era of noisy intermediate-scale quantum devices (NISQ), a paradigm shift is occurring in the numerical physics community to transition towards developing algorithms that facilitate experimental realizations of quantum ... -
Explorations in machine learning for interacting many-body systems.
(University of Waterloo, 2020-09-03)Most interacting many-body systems in physics are not analytically solvable. Instead, numerical methods are needed for the study of these complex and high-dimensional problems. At present, there are many interesting problems ... -
Exploring many-body Physics with Recurrent Neural Networks
(University of Waterloo, 2023-06-22)Originally developed within the natural language processing community, Recurrent neural networks (RNNs) have enabled remarkable progress in speech recognition and machine translation. These architectures belong to the class ... -
Machine Learning and Optimization Techniques for Trapped-ion Quantum Simulators
(University of Waterloo, 2021-08-31)In recent years, quantum simulators have been the focus of intense research due to their potential in unraveling the inner workings of complex quantum systems. The exponential scaling of the Hilbert space of quantum systems ... -
Neural networks and quantum many-body physics: exploring reciprocal benefits.
(University of Waterloo, 2021-08-03)One of the main reasons why the physics of quantum many-body systems is hard lies in the curse of dimensionality: The number of states of such systems increases exponentially with the number of degrees of freedom ... -
Periodically-driven quantum many-body systems, many-body localization and machine learning
(University of Waterloo, 2018-03-09)Despite the exponentially large amount of information required in the quantum description of many-body systems, finite size numerical simulations have paved the way for recent progress in the understanding of quantum phases ... -
Probing universality with entanglement entropy via quantum Monte Carlo
(University of Waterloo, 2019-08-30)Our understanding of physical phenomena hinges on finding universal core mechanisms that unite them. The concept of universality is deeply ingrained in the study of quantum many-body systems. At zero temperature, microscopically ... -
Simulating quantum matter through lattice field theories
(University of Waterloo, 2017-05-16)Quantum many-body systems are comprised of complex networks of microscopic interactions that work together to produce novel collective phases and phenomena. For strongly-interacting systems, the connection between the ... -
Symmetry and Topology in Disordered Systems
(University of Waterloo, 2023-06-14)Global symmetries greatly enrich the landscape of topological quantum phases, playing an essential role from symmetry-protection of topological insulators to symmetry charge fractionalization on anyons in fractional quantum ... -
Topological Order in String Liquids and Weyl Semimetals
(University of Waterloo, 2022-08-22)Outside Landau's paradigm of symmetry-breaking orders is the class of topological orders, which cannot be described by a local order parameters. Such orders are generally defined by the presence of a gauge symmetry and ...