2010
DOI: 10.1088/1367-2630/12/5/055026
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Minimally entangled typical thermal state algorithms

Abstract: We discuss a method based on sampling minimally entangled typical thermal states (METTS) that can simulate finite temperature quantum systems with a computational cost comparable to ground state DMRG. Detailed implementations of each step of the method are presented, along with efficient algorithms for working with matrix product states and matrix product operators. We furthermore explore how properties of METTS can reveal characteristic order and excitations of systems and discuss why METTS form an efficient … Show more

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Cited by 274 publications
(286 citation statements)
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“…The latter is of significant interest in view of experimental realizations. Apart from a recent numerical study for local quenches [37], the spreading of signals in quenches from thermal states is basically unexplored.Our numerical simulations are based on a quench extension of a recently proposed algorithm utilizing an optimized wave function ensemble called Minimally Entangled Typical Thermal States (METTS) [38,39] product state (MPS) framework. We come back to the description of the algorithm and a discussion of its performance towards the end of this paper.…”
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confidence: 99%
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“…The latter is of significant interest in view of experimental realizations. Apart from a recent numerical study for local quenches [37], the spreading of signals in quenches from thermal states is basically unexplored.Our numerical simulations are based on a quench extension of a recently proposed algorithm utilizing an optimized wave function ensemble called Minimally Entangled Typical Thermal States (METTS) [38,39] product state (MPS) framework. We come back to the description of the algorithm and a discussion of its performance towards the end of this paper.…”
mentioning
confidence: 99%
“…[38,39] introduced a stochastic method in which the expectation value of a thermal density matrix is replaced by an average over an ensemble of wave functions, {|φ i }, that i) can be efficiently sampled (importance sampling) using Markov chains and ii) only hosts the minimal (small) amount of entanglement required at that temperature, thus allowing for an efficient representation in terms of MPS. This ensemble was therefore called METTS (minimally entangled typical thermal states) [38,39].We show that the METTS method, thus far only applied to static equilibrium problems, can be easily extended to study real time evolution by realizing that the expectation value of some real-time propagated operatorÂ(t) can be written aswhere the last term denotes an average over the time-evolved METTS ensemble [68]. We employ the numerical scheme illustrated in Fig.…”
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confidence: 99%
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“…The implementation of arithmetic operations with MPOs is well-known already [6,17] and is entirely independent of the specific form of the operands. In particular, the implementation can handle single-site operators as constructed in the previous section and MPOs resulting from earlier arithmetic operations on equal footing.…”
Section: Arithmetic Operations With Matrix Product Operatorsmentioning
confidence: 99%
“…Let us note that recently a new method has been developed to treat finite temperatures, 98,99 which is very promising to reach even lower temperatures.…”
Section: -27mentioning
confidence: 99%