Optimising, Renormalising, Evolving and Quantising Tensor Networks

18.06.2018 - 22.06.2018 
09:00 AM - 04:00 PM 
Andrew G. Green, Roger Melko, Tobias J. Osborne 
part of series
MPI-PKS Workshops, Seminars and Conferences 
main topic
Physics: Theoretical Physics, Quantum Physics
Mathematics: Geometry and Topology
Computer Science: Machine Learning
Katrin Lantsch 

In the 25 years since the introduction of the density matrix renormalization group, tensor networks have become canonical quantum physics. The methods and applications have ramified, generating many new insights along the way. This meeting will explore these developments under several broad, physically-motivated themes, including chaos and hydrodynamics in quantum thermalisation, quantizing tensor networks, representing and evolving open quantum systems, renormalizing tensor networks, new network structures and connections to machine learning.

The aim is to advance both conceptual understanding of tensor networks representations of quantum Hamiltonians and wavefunctions, and practical algorithms for the study of condensed matter, atom and molecular optics, and quantum information. We encourage participants to step back from technical details and emphasise new insights, their relation to other approaches, and emerging opportunities. The recognition of close parallels in the mathematical underpinnings of machine learning, and modeling the structure and dynamics of quantum entanglement through tensor networks is an important development. This meeting will take advantage of a back-to-back meeting on machine learning in condensed matter physics.

Topics include

Chaos and hydrodynamics in quantum thermalisation
Quantizing tensor networks
Out-of-equilibrium quantum dynamics
Representing and evolving open quantum systems
Renormalising tensor networks
Connections between MERA and AdS/CFT
Tensor network Monte Carlo
New network structures
Connections between tensor networks and machine learning


Last update: 07.02.2018 20:20.


Max-Planck-Institut für Physik komplexer Systeme (Sem. rooms 1+2) 
Nöthnitzer Straße 38
01187 Dresden
+ 49 (0)351 871 0 
Max-Planck-Institut für Physik komplexer Systeme 


Max-Planck-Institut für Physik komplexer Systeme (MPI-PKS)
Nöthnitzer Straße 38
01187 Dresden
+ 49 (0)351 871 0 
Max-Planck-Institut für Physik komplexer Systeme (MPI-PKS) 
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