About
The Density Matrix Renormalization Group (DMRG) and its generalizations in the form of Tensor Network States have made significant contributions across a wide range of fields, including condensed matter physics, statistical physics, quantum chemistry, nuclear physics, and machine learning.
The Tensor Network States: Algorithms and Applications (TNSAA) workshops were established to highlight these developments, providing a platform to showcase new algorithmic advances and their applications in uncovering novel physics. Continuing this tradition, we are pleased to organize the next workshop in the series, bringing together leading researchers in Tensor Network States to present their latest results and explore future directions. In addition, we invite contributions from related fields such as Quantum Monte Carlo, Machine Learning, and Quantum Simulation, with the goal of encouraging cross-disciplinary dialogue and inspiring fresh perspectives.
The Tensor Network States: Algorithms and Applications (TNSAA) workshops were established to highlight these developments, providing a platform to showcase new algorithmic advances and their applications in uncovering novel physics. Continuing this tradition, we are pleased to organize the next workshop in the series, bringing together leading researchers in Tensor Network States to present their latest results and explore future directions. In addition, we invite contributions from related fields such as Quantum Monte Carlo, Machine Learning, and Quantum Simulation, with the goal of encouraging cross-disciplinary dialogue and inspiring fresh perspectives.
