License Documentation PyPI workflow PyPI version GitHub stars Python versions

alt text

About the library

Landscape Tools is a Python library designed to visualize, characterize, and analyze the loss landscapes of variational quantum algorithms. It provides utilities for one-dimensional, two-dimensional, and three-dimensional loss scans, PCA-based landscape projections, optimization trajectory visualization, and interpretable parameter-sensitivity analysis directly on quantum circuits. The library also includes tools for studying barren plateaus through variance-based scaling analyses over circuit depth, number of qubits, observables, and Pauli-string padding strategies. Built with quantum machine learning experiments in mind, Landscape Tools helps researchers diagnose trainability issues, inspect optimization dynamics, and better understand how variational quantum ansätze behave across parameter space.

Landscape Tools demo

Installation

pip install landscape_tools

from landscape_tools import landscape_visualization, barren_plateaus

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.4.9)

Owner

PyPI data
Data sourced directly from PyPI's database.

Requires

Python >=3.9

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

landscape_tools-0.3.0.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

landscape_tools-0.3.0-py3-none-any.whl (49.7 kB view details)

Uploaded Python 3

File details

Details for the file landscape_tools-0.3.0.tar.gz.

File metadata

  • Download URL: landscape_tools-0.3.0.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for landscape_tools-0.3.0.tar.gz
Algorithm Hash digest
SHA256 8cee6785dc7c95a01139ff19a7f0af7952f6f3d81ecca734086439202dfd4e66
MD5 372ca8e538651d5a2c85f87191b99495
BLAKE2b-256 d11f955fa3d5dba8ecb2190becf5fb3a4208b92a238c56ba70261a19bc790162

See more details on using hashes here.

File details

Details for the file landscape_tools-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for landscape_tools-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e5c973e013f630b4bf655207035fd00a82239f39534dc119dc6203a290597249
MD5 982d4e03e03536cf9de3e013039981fc
BLAKE2b-256 819ec03f5645c07d26315911d615653ef1ecd4601d95aee1c0796d7117a2282a

See more details on using hashes here.

Release history Release notifications | RSS feed

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.5

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.9

2 files

0.3.8

2 files

0.3.7

2 files

0.3.6

2 files

0.3.5

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

This release

0.3.0 This release

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page