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