Format results

Talk

PSI 2016/2017  Condensed Matter (Review)  Lecture 12
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 11
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 10
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 9
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 8
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 7
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 6
Guifre Vidal Alphabet (United States)

PSI 2016/2017  Condensed Matter (Review)  Lecture 5
Guifre Vidal Alphabet (United States)


Talk


Solitons and SpinCharge Correlations in Strongly Interacting Fermi Gases
Martin Zwierlein Massachusetts Institute of Technology (MIT)

Hierarchical growth of entangled states
John McGreevy University of California, San Diego

Scaling geometries and DC conductivities
Sera Cremonini LeHigh University

Viscous Electron Fluids: HigherThanBallistic Conduction Negative Nonlocal Resistance and Vortices
Leonid Levitov Massachusetts Institute of Technology (MIT)  Department of Physics

Universal Diffusion and the Butterfly Effect
Michael Blake Massachusetts Institute of Technology (MIT)

ParticleVortex duality and Topological Quantum Matter
Jeff Murugan Institute for Advanced Study (IAS)  School of Natural Sciences (SNS)



Talk


Comparing Classical and Quantum Methods for Supervised Machine Learning
Ashish Kapoor Microsoft Corporation

Classification on a quantum computer: Linear regression and ensemble methods
Maria Schuld University of KwaZuluNatal

Rejection and Particle Filtering for Hamiltonian Learning
Christopher Granade Dual Space Solutions, LLC



Physical approaches to the extraction of relevant information
David Schwab Northwestern University

Learning with QuantumInspired Tensor Networks
Miles Stoudenmire Flatiron Institute


Talk


Superconductivity and Charge Density Waves in the Clean 2D Limit
Adam Tsen Institute for Quantum Computing (IQC)

Honeycomb lattice quantum magnets with strong spinorbit coupling
YoungJune Kim University of Toronto



Stochastic Resonance Magnetic Force Microscopy: A Technique for Nanoscale Imaging of Vortex Dynamics
Raffi Budakian Institute for Quantum Computing (IQC)

Spin Slush in an Extended Spin Ice Model
Jeff Rau University of Waterloo

Universal Dynamic Magnetism in the Ytterbium Pyrochlores
Alannah Hallas McMaster University


Quantum Spin Liquid Oasis in Desert States of Unfrustrated Spin Models: Mirage ?
Baskaran Ganapathy Institute of Mathematical Sciences

Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics


Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

The Stability of Gapped Quantum Matter and ErrorCorrection with Adiabatic Noise  VIRTUAL
Ali Lavasani University of California, Santa Barbara

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

PSI 2016/2017  Condensed Matter Review (Vidal)
PSI 2016/2017  Condensed Matter Review (Vidal) 
Low Energy Challenges for High Energy Physicists II
Low Energy Challenges for High Energy Physicists II


4 Corners Southwest Ontario Condensed Matter Symposium
4 Corners Southwest Ontario Condensed Matter Symposium 
PIUIUC Joint Workshop on Strongly Correlated Quantum ManyBody Systems 2015
PIUIUC Joint Workshop on Strongly Correlated Quantum ManyBody Systems 2015 
Condensed Matter Physics and Topological Field Theory
Condensed Matter Physics and Topological Field Theory 
Quantum Spin Liquid Oasis in Desert States of Unfrustrated Spin Models: Mirage ?
Baskaran Ganapathy Institute of Mathematical Sciences
Hilbert spaces are incomprehensibly vast and rich. Model Hamiltonians are space ships. They could take us to new worlds, such as cold \textit{spin liquid oasis} in hot regions in Hilbert space deserts. Exact decomposition of isotropic Heisenberg Hamiltonian on a Honeycomb lattice into a sum of 3 noncommuting (permuted) Kitaev Hamiltonians, helps us build a degenerate \textit{manifold of metastable flux free Kitaev spin liquid vacua} and vector Fermionic (Goldstone like) collective modes. Our method, \textit{symmetric decomposition of Hamiltonians}, will help design exotic metastable quantum scars and exotic quasi particles, in nonexotic real systems.
G. Baskaran, arXiv:2309.07119

Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics


Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

The Stability of Gapped Quantum Matter and ErrorCorrection with Adiabatic Noise  VIRTUAL
Ali Lavasani University of California, Santa Barbara
The code space of a quantum errorcorrecting code can often be identified with the degenerate groundspace within a gapped phase of quantum matter. We argue that the stability of such a phase is directly related to a set of coherent error processes against which this quantum errorcorrecting code (QECC) is robust: such a quantum code can recover from adiabatic noise channels, corresponding to random adiabatic drift of code states through the phase, with asymptotically perfect fidelity in the thermodynamic limit, as long as this adiabatic evolution keeps states sufficiently "close" to the initial groundspace. We further argue that when specific decoders  such as minimumweight perfect matching  are applied to recover this information, an errorcorrecting threshold is generically encountered within the gapped phase. In cases where the adiabatic evolution is known, we explicitly show examples in which quantum information can be recovered by using stabilizer measurements and Pauli feedback, even up to a phase boundary, though the resulting decoding transitions are in different universality classes from the optimal decoding transitions in the presence of incoherent Pauli noise. This provides examples where nonlocal, coherent noise effectively decoheres in the presence of syndrome measurements in a stabilizer QECC.


Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics