amplify-quantum

v1.1.1 safe
4.0
Medium Risk

Amplify SDK add-on for running quantum algorithms with quantum computer and simulator

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk across all technical indicators. However, the lack of maintainer information and limited author activity slightly increase the metadata risk.

  • Low network, shell, obfuscation, and credential risks
  • Metadata risk due to incomplete maintainer information and limited author activity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package lacks a maintainer's name and has an author with a single package, suggesting potential unreliability.

📦 Package Quality Overall: Low (2.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3813 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: fixstars.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with amplify-quantum 
Create a mini-application that demonstrates the use of the 'amplify-quantum' package for solving optimization problems using quantum computing. The application should include the following steps and features:

1. **Problem Setup**: Allow users to input a simple optimization problem, such as finding the maximum or minimum of a quadratic function with multiple variables. This could involve specifying the coefficients of the quadratic equation.

2. **Quantum Algorithm Selection**: Provide options for users to choose between different quantum algorithms supported by the 'amplify-quantum' package, such as Variational Quantum Eigensolver (VQE), Quantum Approximate Optimization Algorithm (QAOA), or any other relevant algorithm.

3. **Execution Mode Selection**: Enable users to select whether they want to run their chosen algorithm on a real quantum computer or a quantum simulator provided by 'amplify-quantum'.

4. **Result Display**: Once the computation is complete, display the results in a user-friendly manner, including the optimal solution found by the quantum algorithm, the value of the objective function at that point, and a comparison with classical methods if applicable.

5. **Visualization**: Implement a feature to visualize the optimization landscape and the path taken by the quantum algorithm towards the solution. This could be done using matplotlib or any other suitable visualization library.

6. **Documentation and User Guide**: Include a brief documentation section explaining how each component of the application works and how users can modify the code to solve different types of optimization problems.

In your implementation, utilize the 'amplify-quantum' package to set up the quantum circuits, execute the chosen algorithm, and retrieve the results. Ensure that your application is well-documented, easy to understand, and showcases the power of quantum computing in solving complex optimization problems.