Design, simulate, and execute quantum circuits with the Qiskit framework.
npx skills add https://github.com/jacketlong23/skills --skill qiskit-jacketlong23
Please help me install this Agent Skill. Skill: qiskit Source: https://github.com/jacketlong23/skills/tree/main/qiskit Command: npx skills add https://github.com/jacketlong23/skills --skill qiskit-jacketlong23
This Skill empowers users to design, simulate, and execute quantum circuits, enabling exploration and development in quantum computing.
Use the qiskit skill to create a Bell state circuit and run it on the local StatevectorSampler.
High-intent search queries and answers about installing and using this skill.
Build quantum circuits using a rich library of gates, then simulate them locally using the StatevectorSampler or qiskit-aer. This Skill facilitates the construction, transpilation, and execution of circuits for quantum algorithm development.
Yes, you can run quantum circuits on real quantum hardware. This Skill integrates with qiskit-ibm-runtime, qiskit-ionq, and qiskit-braket-provider to execute algorithms on physical quantum processors via primitives.
Use qiskit-nature and qiskit-optimization to map chemistry and optimization problems to quantum circuits. This Skill enables developing and testing specialized quantum algorithms for applications like drug discovery and complex system optimization.
Yes, installing qiskit and related packages is required. You must set up dependencies including qiskit-aer, qiskit-nature, qiskit-machine-learning, scipy, and pyscf to construct, simulate, and execute quantum algorithms locally.
Yes, it supports quantum machine learning algorithm development through the qiskit-machine-learning dependency. You can design, simulate, and execute quantum circuits tailored for machine learning applications alongside optimization and chemistry tasks.
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