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  ---
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  license: apache-2.0
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  ---
 
 
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  # Linear Function Quantum Synthesis Circuit Models
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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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  license: apache-2.0
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+ ![ai-transpiler_linear-function-models](hf-banner-ai-transpiler_linear-functions.png)
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+
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  # Linear Function Quantum Synthesis Circuit Models
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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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