Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency
Sunil Pai, Taewon Park, Marshall Ball, Bogdan Penkovsky, Maziyar, Milanizadeh, Michael Dubrovsky, Nathnael Abebe, Francesco Morichetti, Andrea, Melloni, Shanhui Fan, Olav Solgaard, David A.B. Miller

TL;DR
This paper introduces LightHash, a robust photonic cryptographic hash function leveraging interferometric mesh networks, demonstrating potential for energy-efficient, secure, and verifiable blockchain computations with experimental validation.
Contribution
It presents a novel family of discrete analog cryptographic hash functions, LightHash, that are tolerant to systematic errors and maintain security guarantees, supported by theoretical and experimental results.
Findings
LightHash leverages integer matrix-vector operations on photonic meshes.
Experimental results validate robustness against calibration and phase errors.
Photonic advantage is justified through recent CMOS optoelectronics developments.
Abstract
As blockchain technology and cryptocurrency become increasingly mainstream, ever-increasing energy costs required to maintain the computational power running these decentralized platforms create a market for more energy-efficient hardware. Photonic cryptographic hash functions, which use photonic integrated circuits to accelerate computation, promise energy efficiency for verifying transactions and mining in a cryptonetwork. Like many analog computing approaches, however, current proposals for photonic cryptographic hash functions that promise similar security guarantees as Bitcoin are susceptible to systematic error, so multiple devices may not reach a consensus on computation despite high numerical precision (associated with low photodetector noise). In this paper, we theoretically and experimentally demonstrate that a more general family of robust discrete analog cryptographic hash…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Optical Network Technologies · Quantum Information and Cryptography
