pennylane | PennyLane is a cross-platform Python library for differentiable programming of quantum computers. T

by PennyLaneAI Python Version: 0.36.0 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pennylane Summary

pennylane is a Python library typically used in Quantum Computing, Deep Learning applications. pennylane has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pennylane' or download it from GitHub, PyPI.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers.

Support

Quality

Security

License

Reuse

Support

pennylane has a medium active ecosystem.

It has 1795 star(s) with 474 fork(s). There are 51 watchers for this library.

There were 4 major release(s) in the last 12 months.

There are 203 open issues and 750 have been closed. On average issues are closed in 74 days. There are 102 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pennylane is 0.36.0

Quality

pennylane has 0 bugs and 0 code smells.

Security

pennylane has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pennylane code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pennylane is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pennylane releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

pennylane saves you 44223 person hours of effort in developing the same functionality from scratch.

It has 101660 lines of code, 8144 functions and 486 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pennylane and discovered the below as its top functions. This is intended to give you an instant insight into pennylane implemented functionality, and help decide if they suit your requirements.

Broadcast a tensor .
Cut a circuit into a circuit .
Takes a circuit .
Run backward match .
Decorator to reconstruct a complex Fourier series .
Compute the Jacobian of a qnode .
Calculate the parameter shift for a circuit .
Format a tape .
Computes the gradient of a circuit .
Find and place cuts on a graph .

Get all kandi verified functions for this library.

pennylane Key Features

No Key Features are available at this moment for pennylane.

pennylane Examples and Code Snippets

Qlearnkit python library,Getting started with Qlearnkit

Python

Lines of Code : 35

License : Permissive (Apache-2.0)

Copy

from qlearnkit.algorithms import QKNeighborsClassifier
from qlearnkit.encodings import AmplitudeEncoding
from qiskit import BasicAer
from qiskit.utils import QuantumInstance, algorithm_globals

from qlearnkit.datasets import load_iris

seed = 42
algo

Experiments,Training

Python

Lines of Code : 10

License : Strong Copyleft (GPL-3.0)

Copy

$ pip install gym torch torchvision pennylane tensorboard

$ cd cart_pole/
$ python train.py 

$ cd cart_pole/
$ python train.py --batch_size=32

$ cd cart_pole/
$ python train.py --help

$ cd cart_pole/
$ python train.py
$ tensorboard --logdir logs/

Qlearnkit python library,Development notes

Python

Lines of Code : 4

License : Permissive (Apache-2.0)

Copy

python3 -m venv .venv

source .venv/bin/activate 

pip install -r requirements-dev.txt

make test

Community Discussions

Trending Discussions on pennylane

SPARQL: Using filter in query

using conditional CONSTRUCT queries in SPARQL

QUESTION

SPARQL: Using filter in query

Asked 2019-Dec-20 at 01:37

I recently started using SPARQL and have an exercise to make a query that will allow me to get song titles that have a singer as their only vocalist? In this case being John Lennon the only singer.

I have a beatles.ttl data file, so far I was able to select all the songs where John Lennon is lead singer, however there are songs where he is lead singer with 2 other band members.

...

ANSWER

Answered 2019-Dec-15 at 22:35

The trick is to realize that you can rephrase "John Lennon is the only vocalist" to "none of the vocalists are anyone other than John Lennon". Then you can use FILTER NOT EXISTS, like so:

Source https://stackoverflow.com/questions/59340913

QUESTION

using conditional CONSTRUCT queries in SPARQL

Asked 2019-Dec-19 at 23:30

I am in need of some help regarding SPARQL construct queries. How is it possible to make a CONSTRUCT query with an IF condition to get triples that enable rules representation?

Like a CONSTRUCT query that enables us to express the following rules:

If X is an instance of a C1 class, and C1 is a subclass of a C2 class, then X is an instance of C2.

and

If X has in P1 property the value V, and P1 is a subproperty of P2, then X has in property P2 the value V.

For this Data File (Beatles.ttl)

...

ANSWER

Answered 2019-Dec-19 at 23:30

As suggested in the comments: you don't actually need a conditional to express this. All you're doing in the left-hand side of the rule is matching a combination of triple patterns. This is exactly what the WHERE clause in a SPARQL query does. Similarly, the right-hand side of the rule simply recombines matched resources into new triple patterns - this is exactly what the CONSTRUCT clause does. For example:

If X is an instance of a C1 class, and C1 is a subclass of a C2 class, then X is an instance of C2.

That could be expressed as:

Source https://stackoverflow.com/questions/59411550

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pennylane

PennyLane requires Python version 3.7 and above. Installation of PennyLane, as well as all dependencies, can be done using pip:.
For an introduction to quantum machine learning, guides and resources are available on PennyLane's quantum machine learning hub:. You can also check out our documentation for quickstart guides to using PennyLane, and detailed developer guides on how to write your own PennyLane-compatible quantum device.
What is quantum machine learning?
QML tutorials and demos
Frequently asked questions
Key concepts of QML
QML videos