Format results
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Talk
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 12
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 11
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 10
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 9
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 8
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 7
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 6
Guifre Vidal Alphabet (United States)
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PSI 2016/2017 - Condensed Matter (Review) - Lecture 5
Guifre Vidal Alphabet (United States)
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Talk
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Solitons and Spin-Charge Correlations in Strongly Interacting Fermi Gases
Martin Zwierlein Massachusetts Institute of Technology (MIT)
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Hierarchical growth of entangled states
John McGreevy University of California, San Diego
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Scaling geometries and DC conductivities
Sera Cremonini LeHigh University
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Viscous Electron Fluids: Higher-Than-Ballistic Conduction Negative Nonlocal Resistance and Vortices
Leonid Levitov Massachusetts Institute of Technology (MIT) - Department of Physics
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Universal Diffusion and the Butterfly Effect
Michael Blake Massachusetts Institute of Technology (MIT)
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Particle-Vortex duality and Topological Quantum Matter
Jeff Murugan Institute for Advanced Study (IAS) - School of Natural Sciences (SNS)
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Talk
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Comparing Classical and Quantum Methods for Supervised Machine Learning
Ashish Kapoor Microsoft Corporation
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Classification on a quantum computer: Linear regression and ensemble methods
Maria Schuld University of KwaZulu-Natal
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Rejection and Particle Filtering for Hamiltonian Learning
Christopher Granade Dual Space Solutions, LLC
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Physical approaches to the extraction of relevant information
David Schwab Northwestern University
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Learning with Quantum-Inspired Tensor Networks
Miles Stoudenmire Flatiron Institute
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Talk
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Superconductivity and Charge Density Waves in the Clean 2D Limit
Adam Tsen Institute for Quantum Computing (IQC)
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Honeycomb lattice quantum magnets with strong spin-orbit coupling
Young-June Kim University of Toronto
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Stochastic Resonance Magnetic Force Microscopy: A Technique for Nanoscale Imaging of Vortex Dynamics
Raffi Budakian Institute for Quantum Computing (IQC)
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Spin Slush in an Extended Spin Ice Model
Jeff Rau University of Waterloo
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Universal Dynamic Magnetism in the Ytterbium Pyrochlores
Alannah Hallas McMaster University
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Replica topological order in quantum mixed states and quantum error correction
Roger Mong University of Pittsburgh
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Quantum Spin Liquid Oasis in Desert States of Unfrustrated Spin Models: Mirage ?
Baskaran Ganapathy Institute of Mathematical Sciences
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Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics
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The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL
Ali Lavasani University of California, Santa Barbara
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics
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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
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4 Corners Southwest Ontario Condensed Matter Symposium
4 Corners Southwest Ontario Condensed Matter Symposium -
Replica topological order in quantum mixed states and quantum error correction
Roger Mong University of Pittsburgh
Topological phases of matter offer a promising platform for quantum computation and quantum error correction. Nevertheless, unlike its counterpart in pure states, descriptions of topological order in mixed states remain relatively under-explored. We will give various definitions for replica topological order in mixed states. Similar to the replica trick, our definitions also involve n copies of density matrix of the mixed state. Within this framework, we categorize topological orders in mixed states as either quantum, classical, or trivial, depending on the type of information they encode.
For the case of the toric code model in the presence of decoherence, we associate for each phase a quantum channel and describes the structure of the code space. We show that in the quantum-topological phase, there exists a postselection-based error correction protocol that recovers the quantum information, while in the classical-topological phase, the quantum information has decohere and cannot be fully recovered. We accomplish this by describing the mixed state as a projected entangled pairs state (PEPS) and identifying the symmetry-protected topological order of its boundary state to the bulk topology.
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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 non-commuting (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---
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Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics
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The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL
Ali Lavasani University of California, Santa Barbara
The code space of a quantum error-correcting code can often be identified with the degenerate ground-space 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 error-correcting 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 ground-space. We further argue that when specific decoders -- such as minimum-weight perfect matching -- are applied to recover this information, an error-correcting 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 non-local, coherent noise effectively decoheres in the presence of syndrome measurements in a stabilizer QECC.
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics
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Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics