{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/17"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/8"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"},{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/4"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"},{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"},{"label":"Code Generators","url":"https://skillfed.io/packages/category/software-development-code-generators"},{"label":"Chemistry","url":"https://skillfed.io/packages/category/scientific-engineering-chemistry"},{"label":"Astronomy","url":"https://skillfed.io/packages/category/scientific-engineering-astronomy"},{"label":"Quantum Computing","url":"https://skillfed.io/packages/category/scientific-engineering-quantum-computing"}],"enrichment":{"capability":"Automates IBM Quantum backend connection, authentication, and selection by detecting your subscription plan and returning the least-busy available QPU resource for immediate use in Qiskit circuits.","skillfed_tags":["quantum-computing","ibm-quantum","qiskit-integration"],"use_cases":["Streamline local quantum development by automatically loading IBM credentials from .env and selecting an available backend without manual setup.","Build production quantum applications where consistent, repeatable backend selection and authentication are required across multiple runs.","Reduce onboarding friction when multiple team members need to connect to IBM Quantum with different subscription tiers (Open, Standard, Premium, Dedicated).","Integrate quantum circuit execution into CI/CD pipelines by automating plan detection and backend selection in a single function call."],"what_it_does":"Qiskit Connector is a Qiskit SDK extension that eliminates boilerplate authentication and backend setup for IBM Quantum. It reads your IBM Quantum credentials and plan type from environment variables (via .env or system config), automatically detects whether you're on an Open or Paid plan, and returns a ready-to-use backend object pointing to the least-busy available QPU. The connector manages Qiskit runtime service configuration internally, so you can pass the backend directly to Qiskit's sampler, estimator, transpiler, or circuit execution APIs without manual configuration.\n\nThe package depends on requests, python-dotenv, qiskit (2.0.0+), qiskit-ibm-runtime, and pillow. It supports Python 3.9\u20133.13 on Linux, macOS, and Windows. The main entry points are the QConnectorV2 class (which initializes your account and selects a backend) and the QPlanV2 class (which resolves your subscription tier from environment configuration). This is most useful for developers who run quantum workloads repeatedly and want to avoid rewriting connection and authentication logic for each project.","worth_installing":"Yes, if you are actively developing with IBM Quantum and Qiskit 2.x. The package genuinely reduces boilerplate and handles plan detection automatically. However, note the aging maintenance status (219 days since last release) and verify that the connector's error handling and backend-selection logic align with your production requirements before relying on it for critical workloads. No known security vulnerabilities."},"id":"qiskit-connector","links":{"html":"https://skillfed.io/packages/qiskit-connector","md":"https://skillfed.io/packages/qiskit-connector.md","pypi":"https://pypi.org/project/qiskit-connector/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-07","license_spdx":null,"license_treatment":"permissive","name":"qiskit-connector","python_support":"supports_current","summary":"Quantum Computing Qiskit Connector For Quantum Backend Use In Realtime"},"popularity":{"monthly_downloads":160223,"position":10669,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.4.6"}