Quantum-Splines-for-Non-Linear-Approximations | repository contains code to reproduce
kandi X-RAY | Quantum-Splines-for-Non-Linear-Approximations Summary
kandi X-RAY | Quantum-Splines-for-Non-Linear-Approximations Summary
Quantum-Splines-for-Non-Linear-Approximations is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. Quantum-Splines-for-Non-Linear-Approximations has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Quantum-Splines-for-Non-Linear-Approximations build file is not available. You can download it from GitHub.
The idea underpinning the work is to leverage spline functions to overcome the constraint to unitary transformations and being able to approximate non-linear functions on a quantum device. To demonstrate this, we formulated the problem according to a B-Spline parametrisation and we investigated 4 popular non-linear activation functions commonly used for Neural Networks, namely sigmoid, hyperbolic tangent (tanh), rectified linear unit (relu) and exponential linear unit (elu).
The idea underpinning the work is to leverage spline functions to overcome the constraint to unitary transformations and being able to approximate non-linear functions on a quantum device. To demonstrate this, we formulated the problem according to a B-Spline parametrisation and we investigated 4 popular non-linear activation functions commonly used for Neural Networks, namely sigmoid, hyperbolic tangent (tanh), rectified linear unit (relu) and exponential linear unit (elu).
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Quantum-Splines-for-Non-Linear-Approximations has a low active ecosystem.
It has 6 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Quantum-Splines-for-Non-Linear-Approximations has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Quantum-Splines-for-Non-Linear-Approximations is current.
Quality
Quantum-Splines-for-Non-Linear-Approximations has 0 bugs and 0 code smells.
Security
Quantum-Splines-for-Non-Linear-Approximations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Quantum-Splines-for-Non-Linear-Approximations code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Quantum-Splines-for-Non-Linear-Approximations 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.
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Quantum-Splines-for-Non-Linear-Approximations releases are not available. You will need to build from source code and install.
Quantum-Splines-for-Non-Linear-Approximations has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 396 lines of code, 17 functions and 9 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Quantum-Splines-for-Non-Linear-Approximations and discovered the below as its top functions. This is intended to give you an instant insight into Quantum-Splines-for-Non-Linear-Approximations implemented functionality, and help decide if they suit your requirements.
- Estimate the function for a given function
- Compute the dot product of x
- Normalize a complex array
- Estimate coefficients for B - Spline - Splines problem
- Calculates the fidelity between two states
- Compute the performance
- Load data
- Visualize the data
- Plots a single plot
- Plot activation
- Elu operator
- Sigmoid function
- Inverse of tanh
- Reluative function
- Find the number of coefficients for a given interval
- Creates a directory
Get all kandi verified functions for this library.
Quantum-Splines-for-Non-Linear-Approximations Key Features
No Key Features are available at this moment for Quantum-Splines-for-Non-Linear-Approximations.
Quantum-Splines-for-Non-Linear-Approximations Examples and Code Snippets
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Community Discussions
No Community Discussions are available at this moment for Quantum-Splines-for-Non-Linear-Approximations.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Quantum-Splines-for-Non-Linear-Approximations
In order to run the code and reproduce the results of the paper, it is recommended to re-create the same testing environment following the procedure below.
First, clone the repository:
Second, create a conda environment from scratch using the environment.yml specs:
Third, install qiskit package:
First, clone the repository:
Second, create a conda environment from scratch using the environment.yml specs:
Third, install qiskit package:
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For any new features, suggestions and bugs create an issue on GitHub.
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