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Anupam Chattopadhyay, Nanyang Technological University Singapore
Debdeep Mukhopadhyay, Indian Institute of Technology Kharagpur
Recent interest in fully homomorphic encryption (FHE) has motivated efforts to develop faster and more efficient homomorphic logic circuits. Currently, Torus FHE (TFHE) provides the fastest gate-level bootstrapping and enables homomorphic evaluation over encrypted bits. Prior works typically utilize standard Computer Aided Design (CAD) tools to synthesize TFHE-amenable gate-level netlists. However, the logic resynthesis and technology mapping stages of these tools are designed for reducing area and power rather than bootstrapped gates, which leads to suboptimal netlists for homomorphic execution. In this work, we introduce BOLT, a TFHE-amenable CAD synthesis framework that explicitly targets reductions in bootstrapping depth. BOLT employs a bootstrapping-aware logic resynthesis stage to rewrite sub-networks in the input netlist into functionally equivalent forms that can be evaluated with a single bootstrapping operation. Following this, our bootstrapping-aware technology mapping stage incorporates a custom simulated annealing-based scheduler to decide whether each transformed sub-network should replace its original counterpart immediately or be deferred to enable better future opportunities. Through extensive evaluation on standard benchmark circuits, BOLT achieves significant improvements in homomorphic evaluation time, delivering $8\times$ speedup over the current state-of-the-art and $31\times$ speedup over prior work on FHEW-like schemes.
BibTeX
@misc{cryptoeprint:2026/153,
author = {Bhuvnesh Chaturvedi and Ayantika Chatterjee and Anupam Chattopadhyay and Debdeep Mukhopadhyay},
title = {{BOLT}: Bootstrapping-Aware Logic Resynthesis and Technology Mapping for Efficient {TFHE} Circuits},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/153},
year = {2026},
url = {https://eprint.iacr.org/2026/153}
}
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