The nonequilibrium quantum many-body problem as a paradigm for extreme data science
DOI10.1142/S0217979214300217zbMath1308.81188arXiv1410.6121OpenAlexW3106418665MaRDI QIDQ5179465
B. K. Nikolić, Ophir Frieder, James K. Freericks
Publication date: 20 March 2015
Published in: International Journal of Modern Physics B (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1410.6121
Research exposition (monographs, survey articles) pertaining to statistical mechanics (82-02) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Nonperturbative methods of renormalization applied to problems in quantum field theory (81T16) Many-body theory; quantum Hall effect (81V70) Quantum dynamics and nonequilibrium statistical mechanics (general) (82C10) Information storage and retrieval of data (68P20)
Cites Work
- Unnamed Item
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- CUR matrix decompositions for improved data analysis
- Voros resurrection and periods of hyperelliptic curves
- The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices
- Stochastic simulations of fermionic dynamics with phase-space representations
- Time asymptotics of the Schrödinger wave function in time-periodic potentials
- Lectures on non-perturbative effects in large N gauge theories, matrix models and strings
- A Filtered Lanczos Procedure for Extreme and Interior Eigenvalue Problems
- Blendenpik: Supercharging LAPACK's Least-Squares Solver
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- On the exponential solution of differential equations for a linear operator
- Compressed sensing
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