2007
DOI: 10.26421/qic7.5-6-1
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Matrix product state representations

Abstract: This work gives a detailed investigation of matrix product state (MPS) representations for pure multipartite quantum states. We determine the freedom in representations with and without translation symmetry, derive respective canonical forms and provide efficient methods for obtaining them. Results on frustration free Hamiltonians and the generation of MPS are extended, and the use of the MPS-representation for classical simulations of quantum systems is discussed.

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Cited by 866 publications
(1,322 citation statements)
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References 38 publications
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“…The cluster model realizes an SPT phase with fourfold ground state degeneracy, protected by the global 2 × 2 symmetry identified above. The cluster state can be written in the matrix-product form with the bond dimension D = 2 [122]. The Schmidt values of a bipartition λ 1 = λ 2 = 1/ 2 result in the entanglement entropy S = log 2, which is in agreement with our numerical findings deep in the SPT region IV.…”
Section: B Gauging the Transverse-field Ising Chainsupporting
confidence: 85%
“…The cluster model realizes an SPT phase with fourfold ground state degeneracy, protected by the global 2 × 2 symmetry identified above. The cluster state can be written in the matrix-product form with the bond dimension D = 2 [122]. The Schmidt values of a bipartition λ 1 = λ 2 = 1/ 2 result in the entanglement entropy S = log 2, which is in agreement with our numerical findings deep in the SPT region IV.…”
Section: B Gauging the Transverse-field Ising Chainsupporting
confidence: 85%
“…We study a quench protocol [58,59] where the system is initialized in a low-entangled state, which we take to be a matrix product state (MPS) [60,61]…”
mentioning
confidence: 99%
“…These states can be mapped to quantum circuits by taking the MPS tensors in isometric form and identifying them with the circuit unitaries as described in the "Methods" section. A variety of techniques have been developed for the classical manipulation of these states for quantum simulation 3,17,18 . Here we confine ourselves to discussing the quantum circuit realisation.…”
Section: Parallel Simulation With Quantum Tensor Networkmentioning
confidence: 99%
“…Algorithms for manipulating iMPS (iDMRG, TDVP, etc.) 3,17,18 are classically efficient-they have the complexity of OðD 3 Þ. Where then is the room for improvement by implementation on a quantum circuit?…”
Section: Parallel Simulation With Quantum Tensor Networkmentioning
confidence: 99%