Quantifying matrix product state

DOI10.1007/S11128-017-1761-1zbMath1386.81025OpenAlexW2783918955MaRDI QIDQ1746859

Ajay Kumar, Amandeep Singh Bhatia

Publication date: 26 April 2018

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-017-1761-1

zbMATH Keywords

entanglementW statecluster statematrix product statequantum spin systemAKLT modelGHZ modelquantum finite-state machines

Mathematics Subject Classification ID

Quantum computation (81P68) Clifford algebras, spinors (15A66) Quantum coherence, entanglement, quantum correlations (81P40)

Related Items (5)

QPSO-CD: quantum-behaved particle swarm optimization algorithm with Cauchy distribution ⋮ Quantum \(\omega\)-automata over infinite words and their relationships ⋮ Neurocomputing approach to matrix product state using quantum dynamics ⋮ Matrix Product State–Based Quantum Classifier ⋮ On the power of two-way multihead quantum finite automata

Cites Work

• Unnamed Item
• A practical introduction to tensor networks: Matrix product states and projected entangled pair states
• Intrinsic quantum computation
• A new family of nonstochastic languages
• Computation in finitary stochastic and quantum processes
• MEASUREMENT-BASED QUANTUM COMPUTATION WITH CLUSTER STATES
• Compendium of Quantum Physics

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