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-**Poulpy** is a fast & modular FHE library that implements Ring-Learning-With-Errors based homomorphic encryption. It adopts the bivariate polynomial representation proposed in [Revisiting Key Decomposition Techniques for FHE: Simpler, Faster and More Generic](https://eprint.iacr.org/2023/771). In addition to simpler and more efficient arithmetic than the residue number system (RNS), this representation provides a common plaintext space for all schemes and native bridges between any two schemes. Poulpy also decouples the schemes implementations from the polynomial arithmetic backend by being built from the ground up around a **hardware abstraction layer** that closely matches the API of [spqlios-arithmetic](https://github.com/tfhe/spqlios-arithmetic). Leveraging HAL library users can develop applications while being generic over the backend and choose any backend of choice at runtime.
+**Poulpy** is a **fast & modular** FHE library that implements Ring-Learning-With-Errors based homomorphic encryption over the Torus. It adopts the bivariate polynomial representation proposed in [Revisiting Key Decomposition Techniques for FHE: Simpler, Faster and More Generic](https://eprint.iacr.org/2023/771) to represent Torus polynomials. In addition to simpler and more efficient arithmetic than the residue number system (RNS), this representation provides a **common plaintext space** for all schemes and native bridges between any two schemes. Poulpy also decouples the schemes implementations from the polynomial arithmetic backend by being built from the ground up around a **hardware abstraction layer** that closely matches the API of [spqlios-arithmetic](https://github.com/tfhe/spqlios-arithmetic). Leveraging HAL library users can develop applications while being generic over the backend and choose any backend of choice at runtime.
 
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