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40 lines
1.5 KiB
TeX
40 lines
1.5 KiB
TeX
\section{Introduction}
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\subsection{Background}
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Classical consensus protocols---PBFT, Tendermint, HotStuff,
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Avalanche---operate entirely within the computational model of
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classical Turing machines. Their security guarantees (BFT tolerance
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of $f < n/3$, liveness under partial synchrony) are well understood.
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However, as quantum computing hardware approaches fault-tolerant
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scale, two questions arise:
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\begin{enumerate}[nosep]
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\item Can quantum computational primitives \emph{improve} consensus
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performance (latency, throughput, or fault tolerance)?
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\item Can a consensus protocol be designed such that its difficulty
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adjustment is itself a quantum computation, enabling the network
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to exploit quantum resources when available?
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\end{enumerate}
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The Quantum Consensus Protocol addresses both questions by using
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Eisenstein series---objects from analytic number theory with natural
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lattice structure---as the computational kernel of the consensus
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mechanism.
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\subsection{Goals}
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\begin{itemize}[nosep]
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\item A consensus protocol whose verification is classically efficient
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but whose optimal \emph{proposal} computation benefits from
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quantum speedup.
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\item Difficulty adjustment via amplitude amplification (Grover's
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algorithm~\cite{grover1996}), providing quadratic speedup for
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parameter search.
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\item Convergence guarantees derived from the analytic properties of
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Eisenstein series.
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\end{itemize}
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%% ============================================================
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