Adding more info about LinearFunctions in Qiskit
#1
by
cbjuan
- opened
README.md
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## Introduction
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This repository hosts models for linear function synthesis in quantum circuits trained with RL techniques. The models are specialized for different topologies up to 10 qubits.
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A linear function over n qubits is an n×n binary transformation on X/Z operators (the reversible linear part of a Clifford). Implementing it means finding CX/SWAP-based circuits whose action matches that binary map.
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For each model, there is the environment configs (`.json`) and the trained policy weights (`.safetensors`).
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## Introduction
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This repository hosts models for linear function synthesis in quantum circuits trained with RL techniques. The models are specialized for different topologies up to 10 qubits.
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A linear function over n qubits is an n×n binary transformation on X/Z operators (the reversible linear part of a Clifford). Implementing it means finding CX/SWAP-based circuits whose action matches that binary map. [More information about Linear Funtion circuits](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.circuit.library.LinearFunction)
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For each model, there is the environment configs (`.json`) and the trained policy weights (`.safetensors`).
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