v0.4.0

Tenet v0.4.0

Diff since v0.3.0

Merged pull requests:

• Add lu decomposition for Tensors (#94) (@jofrevalles)
• Simplify Tensor struct (#99) (@mofeing)
• Refactor TensorNetwork to class-based OOP organization (#103) (@mofeing)
• Remove all references to Infinite trait (#111) (@mofeing)
• Enhance qr function with mode argument (#114) (@jofrevalles)
• Format code of branch "master" (#118) (@github-actions[bot])
• Format code of branch "develop" (#119) (@github-actions[bot])
• Refactor TensorNetwork internals to incidence matrix representation (#120) (@mofeing)
• Merge developments in preparation for release v0.4 (#121) (@mofeing)

Closed issues:

• Implement Multi-scale Entanglement Renormalization Ansatz (MERA) (#10)
• Implement QR factorization for Tensor (#25)
• Implement LU factorization for Tensor (#26)
• Structured plots on Quantum ansatzes using LayeredLayouts (#33)
• Canonical form for MatrixProductState and MatrixProductOperator (#45)
• Update docs to match recent developments before v0.3 release (#84)
• Inconsistent node_attr behavior for invisible "ghost" nodes in plot (#85)
• Despecialize Tensor struct and methods to decrease compilation time (#89)
• Implement Product States Ansatz (#90)
• Documenter workflow has slowed down from 10-20min to 2h (#91)
• Refactor TN Ansatzes to traits (#96)
• Rename append! to merge! (#102)
• Refactor TensorNetwork internals to encode the dual graph of the Tensor Network (#104)
• Implement "multilayer-graph"-like functionality in QuantumTensorNetwork (#105)
• Design Ansatz subtypes as special cases of graph layers (#106)
• Consider deprecating Infinite<:Plug trait (#107)
• Consider a Classes.jl fork or build same functionality on top of other packages (#108)
• Test ProjectedEntangledPair ansatz (#109)
• Implement trace methods for QuantumTensorNetwork (#110)
• TensorNetwork(circ::Quac.Circuit) fails for circ with some empty lanes (#112)