Execute quantum circuits with Qiskit Sampler and Estimator primitives.
npx skills add https://github.com/shushuzn/Rairos --skill qiskit-shushuzn
Please help me install this Agent Skill. Skill: qiskit Source: https://github.com/shushuzn/Rairos/tree/main/skills/qiskit Command: npx skills add https://github.com/shushuzn/Rairos --skill qiskit-shushuzn
Qiskit helps you turn high-level quantum algorithm ideas into hardware-compatible circuits you can simulate and execute to obtain measurements or expectation values.
Use case example: Implement VQE for a molecular Hamiltonian by mapping the problem to a qubit operator, transpiling an ansatz for an IBM backend, executing with Estimator in a session loop, and post-processing the ground-state energy.
Use the qiskit skill to run your first circuit on an IBM backend by executing a transpiled Bell-state circuit with the Sampler primitive.
High-intent search queries and answers about installing and using this skill.
To run quantum circuits on IBM Quantum hardware, you map problem representations to Qiskit-compatible circuits and execute them using Sampler or Estimator primitives to obtain measurement outcomes or expectation values.
Implementing VQE for a molecular Hamiltonian involves mapping the problem to a qubit operator, transpiling an ansatz for an IBM backend, and executing with the Estimator primitive in a session loop to post-process ground-state energy.
Yes, transpilation is required to match circuit topology and native gate sets of a selected backend target, applying configurable optimization levels to reduce costly two-qubit gates before production runs.
Estimator and Sampler primitives support production-style workflows for chemistry and optimization workloads, providing expectation values and measurement bitstrings needed for VQE and QAOA iterations.
Qiskit supports session and batch execution modes using runtime primitives, allowing configuration of shots and error mitigation for backend-aware deployment on IBM Quantum hardware or realistic simulators.
Transpiling quantum circuits against a selected backend target optimizes the circuit for the hardware's specific topology and native gate sets, reducing errors and costly two-qubit gates during execution.
rubenslivDesign, simulate, and deploy quantum circuits across hardware and simulators.
jasrajtulsiBuild and execute quantum circuits with Qiskit for simulators and IBM Quantum hardware.
mrl2013Generate scatterplots, bar charts, boxplots, and histograms in R using ggplot2.
K-Dense-AIBuild, optimize, and execute quantum circuits on simulators and hardware.
