2024-02-29 09:04:24 +00:00
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Tue Feb 27 20:12:07 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Update to 1.7.3
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## Enhancements:
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* qu.randn: support dist="rademacher".
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* support dist and other randn options in various TN builders.
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## Bug fixes:
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* restore fallback (to scipy.linalg.svd with driver='gesvd')
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behavior for truncated SVD with numpy backend.
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- Release 1.7.2
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## Bug fixes:
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* removed import of deprecated numba.generated_jit decorator.
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## Enhancements:
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* add normalized=True option to tensor_network_distance for
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computing the normalized distance between tensor networks,
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which is useful for convergence checks.
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Tensor.distance_normalized and
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TensorNetwork.distance_normalized added as aliases.
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* add TensorNetwork.cut_bond for cutting a bond index
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- Release v1.7.1
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## Enhancements:
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* add TensorNetwork.visualize_tensors for visualizing the actual
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data entries of an entire tensor network.
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* add ham.build_mpo_propagator_trotterized for building a
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trotterized propagator from a local 1D hamiltonian. This also
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includes updates for creating 'empty' tensor networks using
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TensorNetwork.new, and building up gates from empty tensor
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networks using TensorNetwork.gate_inds_with_tn.
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* add more options to Tensor.expand_ind and Tensor.new_ind:
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repeat tiling mode and random padding mode.
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* tensor decomposition: make eigh_truncated backend agnostic.
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* tensor_compress_bond: add reduced="left" and reduced="right"
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modes for when the pair of tensors is already in a canonical
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form.
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* add qtn.TN2D_embedded_classical_ising_partition_function for
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constructing 2D (triangular) tensor networks representing
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all-to-all classical ising partition functions.
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## Bug fixes:
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* fix bug in kruas_op when operator spanned multiple subsystems
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(#214)
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* fix bug in qr_stabilized when the diagonal of R has significant
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imaginary parts.
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* fix bug in quantum discord computation when the state was
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diagonal (#217)
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* Fix empty lines in dimacs by @jjcmoon in #215
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- Release 1.7.0
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## Breaking Changes
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* Circuit : remove target_size in preparation for all contraction
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specifications to be encapsulated at the contract level (e.g.
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with cotengra) some TN drawing options (mainly arrow options)
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have changed due to the backend change detailed below.
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## Enhancements:
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* Multi tag drawing support
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* TensorNetwork.draw: use quimb.schematic for main
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backend="matplotlib" drawing. Enabling:
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- multi tag coloring for single tensors
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- arrows and labels on multi-edges
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- better sizing of tensors using absolute units
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- neater single tensor drawing, in 2D and 3D
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* add quimb.schematic.Drawing from experimental submodule, add
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example docs at schematic. Add methods text_between, wedge,
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line_offset and other tweaks for future use by main TN drawing.
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* upgrade all contraction to use cotengra as the backend
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* Circuit : allow any gate to be controlled by any number of
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qubits.
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* Circuit : support for parsing openqasm2 specifications now with
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custom and nested gate definitions etc.
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* add is_cyclic_x, is_cyclic_y) and is_cyclic_z to
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TensorNetwork2D and TensorNetwork3D.
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* add TensorNetwork.compress_all_1d for compressing generic
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tensor networks that you promise have a 1D topology, without
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casting as a TensorNetwork1D.
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* add MatrixProductState.from_fill_fn for constructing MPS from a
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function that fills the tensors.
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* add Tensor.idxmin and Tensor.idxmax for finding the index of
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the minimum / maximum element.
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* 2D and 3D classical partition function TN builders: allow
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output indices.
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* quimb.experimental.belief_propagation: add various
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1-norm/2-norm dense/lazy BP algorithms.
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## Bug fixes:
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* fixed bug where an output index could be removed by squeezing
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when performing tensor network simplifications.
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* Fix deprecation warnings by @king-p3nguin in #209
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- Release v1.6.0
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## Breaking Changes
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* Quantum circuit RZZ definition corrected (angle changed by -1/2
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to match qiskit).
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## Enhancements:
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* add OpenQASM 2.0 parsing support:
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:meth:Circuit.from_openqasm2_file
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* :class:Circuit: add RXX, RYY, CRX, CRY, CRZ, toffoli, fredkin,
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givens gates
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* truncate TN pretty html reprentation to 100 tensors for
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performance
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* add :meth:Tensor.sum_reduce and :meth:Tensor.vector_reduce
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* :meth:contract_compressed, default to 'virtual-tree' gauge
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* add :func:TN_rand_tree
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* experimental.operatorbuilder: fix parallel and heisenberg
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builder
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* make parametrized gate generation even more robost (ensure
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matching types so e.g. tensorflow can be used)
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## Bug fixes:
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* fix gauge size check for some backends
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- Release 1.5.1
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* add various MPO-MPS gate methods, including zip-up and density
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matrix, in the experimental submodule
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* some PTensor refactoring
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* Circuit: more robust parametrized gate generation
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* various new contraction convenience interfaces (incld.
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array_contract)
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* add Tensor.check() and TensorNetwork.check() for diagnostics
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* add TensorNetwork.isconnected(), TensorNetwork.istree()
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- Release 1.5.0
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## Enhancements
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* refactor 'isometrize' methods including new "cayley",
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"householder" and "torch_householder" methods. See
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:func:quimb.tensor.decomp.isometrize.
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* add
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:meth:~quimb.tensor.tensor_core.TensorNetwork.compute_reduced_factor
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and
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:meth:~quimb.tensor.tensor_core.TensorNetwork.insert_compressor_between_regions
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methos, for some RG style algorithms.
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* add the mode="projector" option for 2D tensor network
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contractions
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* add HOTRG style coarse graining and contraction in 2D and 3D.
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See
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:meth:~quimb.tensor.tensor_2d.TensorNetwork2D.coarse_grain_hotrg,
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:meth:~quimb.tensor.tensor_2d.TensorNetwork2D.contract_hotrg,
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:meth:~quimb.tensor.tensor_3d.TensorNetwork3D.coarse_grain_hotrg,
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and
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:meth:~quimb.tensor.tensor_3d.TensorNetwork3D.contract_hotrg,
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* add CTMRG style contraction for 2D tensor networks:
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:meth:~quimb.tensor.tensor_2d.TensorNetwork2D.contract_ctmrg
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* add 2D tensor network 'corner double line' (CDL) builders:
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:func:~quimb.tensor.tensor_builder.TN2D_corner_double_line
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* update the docs to use the furo <https://pradyunsg.me/furo/>_
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theme, myst_nb <https://myst-nb.readthedocs.io/en/latest/>_ for
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notebooks, and several other sphinx extensions.
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* add the 'adabelief' optimizer to
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:class:~quimb.tensor.optimize.TNOptimizer as well as a quick
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plotter: :meth:~quimb.tensor.optimize.TNOptimizer.plot
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* add initial 3D plotting methods for tensors networks (
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TensorNetwork.draw(dim=3, backend='matplotlib3d') or
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TensorNetwork.draw(dim=3, backend='plotly') ). The new
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backend='plotly' can also be used for 2D interactive plots.
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* Update :func:~quimb.tensor.tensor_builder.HTN_from_cnf to
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handle more weighted model counting formats.
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* Add :func:~quimb.tensor.tensor_builder.cnf_file_parse
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* Add :func:~quimb.tensor.tensor_builder.random_ksat_instance
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* Add :func:~quimb.tensor.tensor_builder.TN_from_strings
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* Add :func:~quimb.tensor.tensor_builder.convert_to_2d
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* Add :func:~quimb.tensor.tensor_builder.TN2D_rand_hidden_loop
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* Add :func:~quimb.tensor.tensor_builder.convert_to_3d
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* Add :func:~quimb.tensor.tensor_builder.TN3D_corner_double_line
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* Add :func:~quimb.tensor.tensor_builder.TN3D_rand_hidden_loop
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* various optimizations for minimizing computational graph size
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and
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* construction time.
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* add 'lu', 'polar_left' and 'polar_right' methods to
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:func:~quimb.tensor.tensor_core.tensor_split.
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* add experimental arbitrary hamilotonian MPO building
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* :class:~quimb.tensor.tensor_core.TensorNetwork: allow empty
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constructor (i.e. no tensors representing simply the scalar 1)
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* :meth:~quimb.tensor.tensor_core.TensorNetwork.drop_tags: allow
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all tags to be dropped
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* tweaks to compressed contraction and gauging
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* add jax, flax and optax example
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* add 3D and interactive plotting of tensors networks with via
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plotly.
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* add pygraphiviz layout options
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* add :meth:~quimb.tensor.tensor_core.TensorNetwork.combine for
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unified handling of combining tensor networks potentially with
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structure
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* add HTML colored pretty printing of tensor networks for
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notebooks
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* add quimb.experimental.cluster_update.py
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## Bug fixes:
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* fix :func:~quimb.tensor.decomp.qr_stabilized bug for strictly
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upper triangular R factors.
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- Run tests in parallel (rerun flaky precision errors)
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2023-06-01 07:31:53 +00:00
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-------------------------------------------------------------------
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Thu Jun 1 07:31:29 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
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- Numba now exists for Python 3.11, stop skipping it.
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2023-03-24 12:18:01 +00:00
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-------------------------------------------------------------------
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Thu Mar 23 06:51:10 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Skip python311: no numba yet
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2023-02-02 09:37:36 +00:00
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-------------------------------------------------------------------
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Thu Feb 2 09:37:02 UTC 2023 - Dirk Müller <dmueller@suse.com>
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- upgrade opt-einsum to requires as it is imported by tensor/
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unconditionally
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2023-01-27 15:01:00 +00:00
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-------------------------------------------------------------------
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Sat Jan 14 11:35:41 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to v1.4.2
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* no relevant code changes for openSUSE users
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- Release v1.4.1
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## Enhancements
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* unify much functionality from 1D, 2D and 3D into general
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arbitrary geometry class
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quimb.tensor.tensor_arbgeom.TensorNetworkGen
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* refactor contraction, allowing using cotengra directly
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* add visualize() for visualizing the actual data entries of an
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arbitrarily high dimensional tensor
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* add Gate class for more robust tracking and manipulation of
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gates in quantum Circuit simulation
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* tweak TN drawing style and layout
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* tweak default gauging options of compressed contraction
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* add compute_hierarchical_grouping()
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* add as_network()
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* add inds_size()
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* add get_hyperinds()
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* add outer_size()
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* improve group_inds()
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* refactor tensor decompositiona and ‘isometrization’ methods
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* begin supporting pytree specifications in TNOptimizer, e.g. for
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constants
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* add experimental submodule for new sharing features
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* register tensor and tensor network objects with jax pytree
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interface (PR150)
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* update CI infrastructure
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## Bug fixes:
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* fix force atlas 2 and weight_attr bug (GH126)
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* allow unpickling of PTensor objects (GH128, PR131)
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- Release v1.4.0
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## Enhancements
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* Add 2D tensor network support and algorithms
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* Add 3D tensor network infrastructure
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* Add arbitrary geometry quantum state infrastructure
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* Many changes to TNOptimizer
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* Many changes to TN drawing
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* Many changes to Circuit simulation
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* Many improvements to TN simplification
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* Make all tag and index operations deterministic
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* Add tensor_network_sum(), tensor_network_distance() and fit()
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* Various memory and performance improvements
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* Various graph generators and TN builders
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2021-02-05 23:10:51 +00:00
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-------------------------------------------------------------------
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Fri Feb 5 20:13:46 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
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- Generalize the ExcludeArch into %ix64 %arm ppc s390x
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2021-02-04 23:42:25 +00:00
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-------------------------------------------------------------------
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Thu Feb 4 22:31:53 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
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- Disable build for armv7l and s390x
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2021-01-19 10:48:45 +00:00
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-------------------------------------------------------------------
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Tue Jan 19 09:36:08 UTC 2021 - andy great <andythe_great@pm.me>
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- Disable build for python36 because scipy.
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2020-08-22 07:31:08 +00:00
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-------------------------------------------------------------------
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Sat Aug 22 07:04:12 UTC 2020 - andy great <andythe_great@pm.me>
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- Clean up spec file.
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2020-08-21 14:37:43 +00:00
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-------------------------------------------------------------------
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Wed Aug 19 13:39:27 UTC 2020 - andy great <andythe_great@pm.me>
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- Remove noarch macro from spec file.
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-------------------------------------------------------------------
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Wed Aug 19 07:07:33 UTC 2020 - andy great <andythe_great@pm.me>
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- Disable build for 32-bit arch because numba and parallel does not
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support 32-bit arch. Tried to export variable
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"export QUIMB_NUMBA_PARALLEL=off" does not solve the issue.
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-------------------------------------------------------------------
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Tue Aug 18 09:36:15 UTC 2020 - andy great <andythe_great@pm.me>
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- Initial package release.
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