Locally accurate matrix product approximation to thermal states
arXiv:2106.03854 · doi:10.1016/j.scib.2021.08.011
Abstract
In one-dimensional quantum systems with short-range interactions, a set of leading numerical methods is based on matrix product states, whose bond dimension determines the amount of computational resources required by these methods. We prove that a thermal state at constant inverse temperature has a matrix product representation with bond dimension such that all local properties are approximated to accuracy . This justifies the common practice of using a constant bond dimension in the numerical simulation of thermal properties.
arXiv commentv2: abstract and introduction expanded
References in corpus (8)
- The density-matrix renormalization group in the age of matrix product states
- Matrix Product Density Operators: Simulation of finite-T and dissipative systems
- Mixed-state dynamics in one-dimensional quantum lattice systems: a time-dependent superoperator renormalization algorithm
- The iTEBD algorithm beyond unitary evolution
- Solving Gapped Hamiltonians Locally
- Approximating Gibbs states of local Hamiltonians efficiently with PEPS
- Efficient description of many-body systems with Matrix Product Density Operators
- Locally accurate MPS approximations for ground states of one-dimensional gapped local Hamiltonians