{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/5"}],"enrichment":{"capability":"Samplomatic generates randomized variants of quantum circuits with declarative intent, supporting Pauli twirling and extensible noise injection patterns for quantum circuit sampling.","skillfed_tags":["quantum-computing","error-mitigation","circuit-randomization"],"use_cases":["Apply Pauli twirling to quantum circuits for error mitigation in near-term quantum processors.","Generate multiple randomized circuit variants from a single template for statistical noise characterization.","Inject sampling-based noise into quantum circuits to study robustness under realistic error models.","Parametrize quantum circuits with randomization intent for transpiler-based circuit optimization.","Extend circuit randomization with custom group-based transformations for specialized quantum protocols."],"what_it_does":"Samplomatic is a library for generating randomized variants of quantum circuits with explicit, declarative intent. It works by annotating sections of a Qiskit quantum circuit with randomization instructions (like Twirl for Pauli twirling), then using a build process to generate a template circuit and a sampling engine (samplex) that encodes the randomization logic as a directed acyclic graph. The samplex can then produce many randomized circuit arguments without regenerating circuits, making it efficient for tasks like error mitigation through circuit randomization.\n\nThe library is designed for quantum researchers and engineers who need to systematically apply randomization patterns to circuits\u2014whether for Pauli twirling, noise injection, or custom group-based transformations. It depends on qiskit, numpy, rustworkx, pybase64, and orjson. As a beta-stage project (version 0.20.0), it is actively maintained but subject to breaking changes between minor versions; the project may also relocate from its current GitHub home.","worth_installing":"Yes, if you work with Qiskit and need systematic circuit randomization for error mitigation or noise studies. The low install friction, active maintenance, and permissive license make it a reasonable choice. However, expect breaking changes between minor versions (beta stage), so pin your dependency. No known security vulnerabilities as of 2026-08-14."},"id":"samplomatic","links":{"html":"https://skillfed.io/packages/samplomatic","md":"https://skillfed.io/packages/samplomatic.md","pypi":"https://pypi.org/project/samplomatic/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-23","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"samplomatic","python_support":"supports_current","summary":"Serving all of your circuit sampling needs since 2025."},"popularity":{"monthly_downloads":306696,"position":7785,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.20.0"}