FPGA-based Toeplitz Strong Extractor for Quantum Random Number Generators

• URL: http://arxiv.org/abs/2505.02868v1
• Date: Sat, 03 May 2025 18:25:30 GMT
• Title: FPGA-based Toeplitz Strong Extractor for Quantum Random Number Generators
• Authors: Shubham Chouhan, Anurag K. S. V., G. Raghavan, Kanaka Raju P,
• Abstract summary: This work presents a state-of-the-art implementation of the Toeplitz Strong Extractor on an FPGA.<n>A detailed implementation flow of the post-processing on the FPGA is provided, along with the execution speeds obtained for different randomness extraction ratios.<n>The output is validated using the NIST STS 2.1.2 statistical randomness test suite.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum Random Number Generators (QRNGs) serve as high-entropy sources for Quantum Key Distribution (QKD) systems. However, the raw data from these quantum sources require post-processing to achieve a nearly uniform distribution. This work presents a state-of-the-art implementation of the Toeplitz Strong Extractor on an FPGA, achieving a benchmark extraction speed of 26.57 Gbps. A detailed implementation flow of the post-processing on the FPGA is provided, along with the execution speeds obtained for different randomness extraction ratios. Raw data from an in-house phase noise-based QRNG is processed on the FPGA using this implementation, and the output is validated using the NIST STS 2.1.2 statistical randomness test suite.

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