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qutip-5.1.0.zip 2024-12-19 6.9 MB
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qutip-5.1.0-cp313-cp313-macosx_10_13_x86_64.whl 2024-12-19 10.3 MB
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qutip-5.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2024-12-19 29.5 MB
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qutip-5.1.0-cp312-cp312-win_amd64.whl 2024-12-19 9.8 MB
qutip-5.1.0-cp311-cp311-win_amd64.whl 2024-12-19 9.9 MB
qutip-5.1.0-cp310-cp310-win_amd64.whl 2024-12-19 9.8 MB
QuTiP 5.1.0 source code.tar.gz 2024-12-19 3.2 MB
QuTiP 5.1.0 source code.zip 2024-12-19 3.4 MB
README.md 2024-12-19 4.0 kB
Totals: 21 Items   258.5 MB 0

QuTiP 5.1.0

Features

  • It adds odd parity support to HEOM's fermionic solver (#2261, by Gerardo Jose Suarez)
  • Create SMESolver.run_from_experiment, which allows to run stochastic evolution from know noise or measurements. (#2318)
  • Add types hints. (#2327, [#2473])
  • Weighted trajectories in trajectory solvers (enables improved sampling for nm_mcsolve) (#2369, by Paul Menczel)
  • Updated qutip.core.metrics.dnorm to have an efficient speedup when finding the difference of two unitaries. We use a result on page 18 of D. Aharonov, A. Kitaev, and N. Nisan, (1998). (#2416, by owenagnel)
  • Allow mixed initial conditions for mcsolve and nm_mcsolve. (#2437, by Paul Menczel)
  • Add support for jit and grad in qutip.core.metrics (#2461, by Rochisha Agarwal)
  • Allow merging results from stochastic solvers. (#2474)
  • Support measurement statistics for jax and jaxdia dtypes (#2493, by Rochisha Agarwal)
  • Enable mcsolve with jax.grad using numpy_backend (#2499, by Rochisha Agarwal)
  • Add propagator method to steadystate (#2508)
  • Introduces the qutip.core.environment module, which contains classes that characterize bosonic and fermionic thermal environments. (#2534, by Gerardo Jose Suarez)
  • Implements a einsum function for Qobj dimensions (Evaluates the Einstein summation convention on the operands.) (#2545, by Franco Mayo)
  • Wave function calculations have been sped up with a Cython implementation. It optimizes the update method of the HarmonicOscillatorWaveFunction class in distribution.py. (#2553, by Matheus Gomes Cordeiro)
  • Speed up kraus_to_super by adding a sparse option. (#2569, by Sola85)

Bug Fixes

  • Fix a dimension problem for the argument color of Bloch.add_states Clean-up of the code in Bloch.add_state Add Bloch.add_arc and Bloch.add_line in the guide on Bloch class (#2445, by PositroniumJS)
  • Fix HTMLProgressBar display (#2475)
  • Make expm, cosm, sinm work with jax. (#2484, by Rochisha Agarwal)
  • Fix stochastic solver step method (#2491)
  • clip gives deprecation warning, that might be a problem in the future. Hence switch to where (#2507, by Rochisha Agarwal)
  • Fix brmesolve detection of contant vs time-dependent system. (#2530)
  • propagator now accepts list format c_ops like mesolve does. (#2532)
  • Fix compatibility issue with matplotlib>=3.9 in matrix_histogram (#2544, by Andreas Maeder)
  • Resolve incompatibility of TwoModeQuadratureCorrelation class (#2548, by quantum-menace)
  • Fix sparse eigen solver issue with many degenerate eigen values. (#2586)
  • Fix getting tensor permutation for uneven super operators. (#2561)

Documentation

  • Improve guide-settings page. (#2403)
  • Tidy up formatting of type aliases in the api documentation (#2436, by Paul Menczel)
  • Update documentation
  • Update contributors
  • Improve apidoc readability (#2523)
  • Fix error in simdiag docstring (#2585, by Sola85)

Miscellaneous

  • Add auto_real_casting options. (#2329)
  • Add dispatcher for sqrtm (#2453, by Rochisha Agarwal)
  • Make e_ops, args and options keyword only. Solver were inconsistent with e_ops usually following c_ops but sometime preceding it. Setting it as keyword only remove the need to memorize the signature of each solver. (#2489)
  • Introduces a new NumpyBackendclass that enables dynamic selection of the numpy_backend used in qutip. The class facilitates switching between different numpy implementations ( numpy and jax.numpy mainly ) based on the configuration specified in settings.core. (#2490, by Rochisha Agarwal)
  • Improve mkl lookup function. (#2497)
  • Deterministic trajectories are not counted in ntraj. (#2502)
  • Allow tests to be executed multiple times in one Python session (#2538, by Zhang Maiyun)
  • Improve performance of qutip.Qobj by using static numpy version check (#2557, by Pieter Eendebak)
  • Fix towncrier check (#2542)
Source: README.md, updated 2024-12-19