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-0.3.5.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-0.3.5-py3-none-any.whl (48.8 kB view details)

Uploaded Python 3

File details

Details for the file landscape_tools-0.3.5.tar.gz.

File metadata

  • Download URL: landscape_tools-0.3.5.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-0.3.5.tar.gz
Algorithm Hash digest
SHA256 c0ae3b34ea1642e673308715f461f58233dd662722c71d8ca2fe3970ca2c8c4d
MD5 a0d60568da67affc9ffe293eed34ef94
BLAKE2b-256 8216ce8fc4fedb722abb7fa67c917bda35319f128e4dc3eeb5e8aaffecae2b1b

See more details on using hashes here.

File details

Details for the file landscape_tools-0.3.5-py3-none-any.whl.

File metadata

File hashes

Hashes for landscape_tools-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 eb1c1932c19fc3718b7851f437a5aac51d4b4306fb37d67fd4aa4775421bdc88
MD5 5fd3573c1bd0d5a06482aada8f595fee
BLAKE2b-256 5e848914f00be328db7894f2540954a91c6c9b764fa92a8bff52337f1482d611

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

This release

0.3.5 This release

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

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