qutip | QuTiP : Quantum Toolbox in Python
kandi X-RAY | qutip Summary
kandi X-RAY | qutip Summary
[Conda-Forge Downloads] QuTiP is open-source software for simulating the dynamics of closed and open quantum systems. It uses the excellent Numpy, Scipy, and Cython packages as numerical backends, and graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of quantum mechanical problems, including those with Hamiltonians and/or collapse operators with arbitrary time-dependence, commonly found in a wide range of physics applications. QuTiP is freely available for use and/or modification, and it can be used on all Unix-based platforms and on Windows. Being free of any licensing fees, QuTiP is ideal for exploring quantum mechanics in research as well as in the classroom.
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qutip Examples and Code Snippets
Lines of Code : 13License : Permissive (BSD-3-Clause)
Copy@article{Li2022pulselevelnoisy,
doi = {10.22331/q-2022-01-24-630},
url = {https://doi.org/10.22331/q-2022-01-24-630},
title = {Pulse-level noisy quantum circuits with {Q}u{T}i{P}},
author = {Li, Boxi and Ahmed, Shahnawaz and Saraogi, Sidhant # add the constant part of the lagrangian
if Lconst != 0:
Ldata.append(Lconst.data.data)
Linds.append(Lconst.data.indices)
Lptrs.append(Lconst.data.indptr)
Lcoeff.append("1.0")
# add the constant part of the lagrangian
if Lco >>> conda create -n [env-name] python==3.6 qutip==4.3.1
>>> conda create -n [env-name] python==3.6 qutip==4.3.1 gcc jupyter nb_conda
(env-name) >>> pip install [path ro rb_cqed]
(env-name) >>> import rb_cqed.tes name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- _r-mutex
- _tflow_select
- absl-py
- alabaster
name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- presult = [coherent_dm(N=10, alpha=i, offset=0, method='operator') for i in c]
# ( )-------------------------- parallel_map() expected TUPLE
#your Fun( ( a vv--)-------------------)----------------your FED-IN ITERABLE
testFunc1( ( 'a', 'b1' ), 'of-no-interest' ) --> (('a', 'b1'), 'of-no-inteevalues = mcsolve(H, psi0, times_list, ntraj, collapse, evalue_list)
** mcsolve(H, psi0, tlist, c_ops=[], e_ops=[], ntraj=None, args={}, options=None, progress_bar=True, map_func=None, map_kwargs=None, _safe_mode=for j in range (n):
if j==0:
sigmajm=sigmam()
else:
sigmajm=qeye(2)
for i in range (1,n):
if j == i:
sigmaj1= tensor(sigmam(),sigmajm)
else:
sigmajm = tensor(qeye(2),sigmajm)
sigmamlfrom qutip.operators import sigmax, sigmay, sigmaz
def extract_vec(v):
v=[v]
vector=[]
for i in v:
vector.append([
expect(sigmax(),i),
expect(sigmay(),i),
expect(sigmaz(),i)
from IPython.display import Math, HTML
display(HTML(""))
Math(r'F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx')
Community Discussions
Trending Discussions on qutip
QUESTION
I am trying to multiply a symbol with a matrix which is defined by QuTip quantum object, but I got this error:
ANSWER
Answered 2021-Dec-29 at 15:42The object destroy(4) contains a lot more information than just the matrix representation of the annihilation operator, so its represented as the type Qobj in qutip. The type Qobj currently doesn't support multiplication with the type sympy.Symbol. Note that you can look under the __rmul__ method of Qobj to find which types are supported for multiplying with Qobj on the right.
If you're happy working with the matrix representations of these operators you could do the following to multiply a symbol with the matrix corresponding to destroy(4). The following will work:
QUESTION
I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)
...ANSWER
Answered 2021-Aug-04 at 05:11After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from
QUESTION
I'm trying to use the following function of QuTip library:
...ANSWER
Answered 2021-Mar-25 at 22:13coherent_dm returns a qutip.Qobj instance. This is a specialized object that fulfills the __array__ interface, but is not actually a numpy array. Internally, it appears to contain a sparse matrix. That means that you can not readily make coherent_dm return more than one matrix at a time, or even concatenate the results of multiple calls into a single array.
Your best bet is therefore probably to use a list comprehension:
QUESTION
I bought a new apple m1 macbook pro. I installed python and other basic packages like numpy, scikit-learn and matplotlib though miniforge. When I tried installing qutip through conda it shows no such package exists on the osx-arm64 channel.
Is there a way to install the x86-64 version of Qutip through rosetta 2?
...ANSWER
Answered 2021-Feb-09 at 19:17In short, yes. QuTip can be installed using rosetta. It is, however, not free of complications. I found myself in the same situation, with a new M1 mac.
In my case, I had to create a new installation of miniforge (THE x86_64 VERSION) and download every package (matplotlib, cython, numpy, scipy, jupyter and qutip). QuTiP could be found because I was using the standard channels instead of the new arm64 channel. In order to be able to import qutip some additional steps have to be taken. If one tries to import qutip a couple of errors appear, to which the solution has been given in https://github.com/qutip/qutip/issues/1396#issuecomment-759733240 .
Basically, you first need to install ipython. The following line worked for me: conda install -c anaconda ipython. Secondly, you have to find the hardware_info.py document in your qutip files. In my case it was in /diego/miniforge3/lib/python3.8/site-packages/qutip/hardware_info.py. Once found, comment the following lines:
results.update({'cpu_freq': int(float(os.popen('sysctl -n machdep.cpu.brand_string')
.readlines()[0].split('@')[1][:-4])*1000)})
With that done, I have a fully operational installation of jupyter notebook with qutip. Addressing the situation described in the question, I don't know if it is possible to download qutip from the regular x86_64 channels while having installed miniforge with the arm64 installer. Maybe someone who knows more than me can add further information about it.
QUESTION
I am trying to run this code in qutip. But its not showing any result. However there is not showing any error. All codes are correct and not showing any error. But don't know why the program is not execute. If anybody can resolve this problem is most welcome.
...ANSWER
Answered 2020-Feb-18 at 05:26You have to use indentation, smt. like this:
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