QUANT-PHCRApr 22, 2018

On the insecurity of quantum Bitcoin mining

arXiv:1804.08118v44 citations
Originality Incremental advance
AI Analysis

This addresses a potential security vulnerability in Bitcoin for users and miners if quantum computing becomes practical, though it is incremental as it builds on known quantum advantages.

The paper identifies a security risk in Bitcoin when quantum computers use Grover's algorithm for mining, showing that it can lead to increased forks due to correlated measurement times, and proposes a mechanism to prevent this.

Grover's algorithm confers on quantum computers a quadratic advantage over classical computers for searching in an arbitrary data set, a scenario that describes Bitcoin mining. It has previously been argued that the only side-effect of quantum mining would be an increased difficulty. In this work, we argue that a crucial argument in the analysis of Bitcoin security breaks down when quantum mining is performed. Classically, a Bitcoin fork occurs rarely, i.e., when two miners find a block almost simultaneously, due to propagation time effects. The situation differs dramatically when quantum miners use Grover's algorithm, which repeatedly applies a procedure called a Grover iteration. The chances of finding a block grow quadratically with the number of Grover iterations applied. Crucially, a miner does not have to choose how many iterations to apply in advance. Suppose Alice receives Bob's new block. To maximize her revenue, she should stop and measure her state immediately in the hopes that her block (rather than Bob's) will become part of the longest chain. The strong correlation between the miners' actions and the fact that they all measure their states at the same time may lead to more forks -- which is known to be a security risk for Bitcoin. We propose a mechanism that, we conjecture, will prevent this form of quantum mining, thereby circumventing the high rate of forks.

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