Create, optimize, and execute quantum circuits with Qiskit on simulators and hardware.
npx skills add https://github.com/Sologa/codex-pipeline --skill qiskit-sologa
Please help me install this Agent Skill. Skill: qiskit Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/qiskit Command: npx skills add https://github.com/Sologa/codex-pipeline --skill qiskit-sologa
This Skill provides a comprehensive framework for developing, optimizing, and executing quantum computing algorithms on simulators and real quantum hardware.
Install Qiskit and run your first quantum circuit to create a Bell state.
High-intent search queries and answers about installing and using this skill.
To run a quantum circuit on real quantum hardware, you execute primitive operations targeting cloud-based providers like IBM Quantum, IonQ, and Amazon Braket after transpiling the circuit for specific hardware constraints and noise characteristics.
Quantum circuit transpilation is the process of optimizing a circuit for specific hardware constraints. You need it before hardware execution to ensure your quantum gates align with the connectivity and noise characteristics of the target quantum backend.
Yes, you can develop and test a Variational Quantum Eigensolver (VQE) algorithm for molecular energy calculations, utilizing the framework to design circuits and execute them on simulators or diverse quantum hardware providers.
Yes, understanding quantum gates is required. The framework enables the creation of quantum circuits using a rich library of gates and operations, requiring prerequisite knowledge of how these gates manipulate qubits for algorithm development.
The best way to optimize quantum circuits for simulator execution is to use the framework's transpilation features. This adjusts the circuit's quantum gates and operations to ensure accurate primitive execution on local and cloud-based simulators.
felixboehmConstruct, optimize, and execute quantum circuits with Qiskit.
JosephWoodallDesign and run quantum circuits on IBM Quantum hardware using the Qiskit SDK.
crazymsnTrain quantum circuits with gradient-based optimization using PennyLane.
K-Dense-AIDesign, simulate, and deploy Cirq circuits for quantum hardware backends.
