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Accepting request 1248539 from devel:languages:python:numeric

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- Update to 1.10.0:
  * Breaking Changes
    + renamed MatrixProductState.partial_trace and MatrixProductState.ptr to
      MatrixProductState.partial_trace_to_mpo to avoid confusion with other
      partial_trace methods that usually produce a dense matrix.
  * Enhancements:
    + tensor network fitting: add method="tree" for when ansatz is a tree -
      tensor_network_fit_tree
    + tensor network fitting: fix method="als" for complex networks
    + tensor network fitting: allow method="als" to use a iterative solver
      suited to much larger tensors, by default a custom conjugate gradient
      implementation.
    + tensor_network_distance and fitting: support hyper indices explicitly
      via output_inds kwarg
    + add tn.make_overlap and tn.overlap for computing the overlap between
      two tensor networks, ⟨ O | T ⟩ , with explicit handling of outer
      indices to address hyper networks. Add output_inds to tn.norm and
      tn.make_norm also, as well as the squared kwarg.
    + replace all numba based paralellism (prange and parallel vectorize)
      with explicit thread pool based parallelism. Should be more reliable
      and no need to set NUMBA_NUM_THREADS anymore. Remove env var
      QUIMB_NUMBA_PAR.
    + Circuit: add dtype and convert_eager options. dtype specifies what the
      computation should be performed in. convert_eager specifies whether to
      apply this (and any to_backend calls) as soon as gates are applied
      (the default for MPS circuit simulation) or just prior to contraction
      (the default for exact contraction simulation).
    + tn.full_simplify: add check_zero (by default set of "auto") option
      which explicitly checks for zero tensor norms when equalizing norms to
      avoid log10(norm) resulting in -inf or nan. Since it creates a data

OBS-URL: https://build.opensuse.org/request/show/1248539
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-quimb?expand=0&rev=11
This commit is contained in:
Dominique Leuenberger 2025-02-26 16:22:53 +00:00 committed by Git OBS Bridge
commit 48395f89a9
4 changed files with 86 additions and 18 deletions
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76
python-quimb.changes
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@ -1,3 +1,79 @@
-------------------------------------------------------------------
Wed Feb 26 03:56:01 UTC 2025 - Steve Kowalik <steven.kowalik@suse.com>
- Update to 1.10.0:
* Breaking Changes
+ renamed MatrixProductState.partial_trace and MatrixProductState.ptr to
MatrixProductState.partial_trace_to_mpo to avoid confusion with other
partial_trace methods that usually produce a dense matrix.
* Enhancements:
+ tensor network fitting: add method="tree" for when ansatz is a tree -
tensor_network_fit_tree
+ tensor network fitting: fix method="als" for complex networks
+ tensor network fitting: allow method="als" to use a iterative solver
suited to much larger tensors, by default a custom conjugate gradient
implementation.
+ tensor_network_distance and fitting: support hyper indices explicitly
via output_inds kwarg
+ add tn.make_overlap and tn.overlap for computing the overlap between
two tensor networks, ⟨ O | T ⟩ , with explicit handling of outer
indices to address hyper networks. Add output_inds to tn.norm and
tn.make_norm also, as well as the squared kwarg.
+ replace all numba based paralellism (prange and parallel vectorize)
with explicit thread pool based parallelism. Should be more reliable
and no need to set NUMBA_NUM_THREADS anymore. Remove env var
QUIMB_NUMBA_PAR.
+ Circuit: add dtype and convert_eager options. dtype specifies what the
computation should be performed in. convert_eager specifies whether to
apply this (and any to_backend calls) as soon as gates are applied
(the default for MPS circuit simulation) or just prior to contraction
(the default for exact contraction simulation).
+ tn.full_simplify: add check_zero (by default set of "auto") option
which explicitly checks for zero tensor norms when equalizing norms to
avoid log10(norm) resulting in -inf or nan. Since it creates a data
dependency that breaks e.g. jax tracing, it is optional.
+ schematic.Drawing: add shorten kwarg to line drawing and curve drawing
and examples to {ref}schematic.
+ TensorNetwork: add .backend and .dtype_name properties.
+ add Circuit.sample_gate_by_gate and related methods
CircuitMPS.reordered_gates_dfs_clustered and
CircuitMPS.get_qubit_distances for sampling a circuit using the
'gate by gate' method introduced in https://arxiv.org/abs/2112.08499.
+ add Circuit.draw for drawing a very simple circuit schematic.
+ Circuit: by default turn on simplify_equalize_norms and use a
group_size=10 for sampling. This should result in faster and more
stable sampling.
+ Circuit: use numpy.random.default_rng for random number generation.
+ add qtn.circ_a2a_rand for generating random all-to-all circuits.
+ expose qtn.edge_coloring as top level function and allow layers to be
returned grouped.
+ add docstring for tn.contract_compressed and by default pick up
important settings from the supplied contraction path optimizer
(max_bond and compress_late)
+ add Tensor.rand_reduce for randomly removing a tensor index by
contracting a random vector into it. One can also supply the value "r"
to isel selectors to use this.
+ add fit-zipup and fit-projector shorthand methods to the general 1d
tensor network compression function
+ add MatrixProductState.compute_local_expectation for computing many
local expectations for a MPS at once, to match the interface for this
method elsewhere. These can either be computed via canonicalization
(method="canonical"), or via explicit left and right environment
contraction (method="envs")
+ specialize CircuitMPS.local_expectation to make use of the MPS form.
+ add PEPS.product_state for constructing a PEPS representing a product
state.
+ add PEPS.vacuum for constructing a PEPS representing the vacuum
state | 000 … 0 ⟩ .
+ add PEPS.zeros for constructing a PEPS whose entries are all zero.
+ tn.gauge_all_simple: improve scheduling and add damping and
touched_tids options.
+ qtn.SimpleUpdateGen: add gauge difference update checking and tol and
equilibrate settings. Update .plot() method. Default to a small cutoff.
+ add psi.sample_configuration_cluster for sampling a tensor network
using the simple update or cluster style environment approximation.
+ add the new doc {ref}ex-circuit-sampling
-------------------------------------------------------------------
Mon Sep 23 19:48:30 UTC 2024 - Ben Greiner <code@bnavigator.de>

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python-quimb.spec
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@ -1,7 +1,7 @@
#
# spec file for package python-quimb
#
# Copyright (c) 2024 SUSE LLC
# Copyright (c) 2025 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@ -29,16 +29,15 @@ ExcludeArch: %{ix86} %{arm} ppc s390x
%endif
Name: python-quimb%{psuffix}
Version: 1.8.4
Version: 1.10.0
Release: 0
Summary: Python library for quantum information and many-body calculations
License: Apache-2.0
URL: https://quimb.readthedocs.io/
Source: https://github.com/jcmgray/quimb/archive/refs/tags/v%{version}.tar.gz#/quimb-%{version}.tar.gz
BuildRequires: %{python_module hatch_vcs}
BuildRequires: %{python_module hatchling}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
Requires: python-autoray >= 0.6.12
@ -88,21 +87,15 @@ export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
%install
%if !%{with test}
%pyproject_install
%python_clone -a %{buildroot}%{_bindir}/quimb-mpi-python
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%endif
%post
%python_install_alternative quimb-mpi-python
%postun
%python_uninstall_alternative quimb-mpi-python
%if %{with test}
%check
mv quimb quimb.movedsrc
# precision comparison slightly out of tolerance: this one is permament, others are flaky (rerun them)
donttest="(test_subtract_update and float32)"
donttest="(test_subtract_update and float32) or test_contract_double_loopy_approx"
donttest+=" or test_cyclic_solve_big_with_segmenting"
%pytest -n auto --reruns 3 -k "not ($donttest)"
%endif
@ -110,9 +103,8 @@ donttest="(test_subtract_update and float32)"
%files %{python_files}
%doc README.md
%license LICENSE.txt
%python_alternative %{_bindir}/quimb-mpi-python
%{python_sitelib}/quimb-%{version}.dist-info
%{python_sitelib}/quimb
%{python_sitelib}/quimb-%{version}.dist-info
%endif
%changelog

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quimb-1.8.4.tar.gz
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