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arXiv:quant-ph/0206121

Weak coin flipping with small bias

Iordanis Kerenidis, Ashwin Nayak

Published Jun 19, 2002• 0 citations
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Abstract

This note presents a quantum protocol that demonstrates that_weak_ coin flipping with bias approximately 0.239, less than 1/4, is possible. A bias of 1/4 was the smallest known, and followed from the strong coin flipping protocol of [Ambainis 2001]. Protocols with yet smaller bias, approximately 0.207, have independently been discovered [Ambainis 2001, Spekkens and Rudolph 2002]. We also present an alternative strong coin flipping protocol with bias 1/4 with analysis simpler than that of [Ambainis 2001].

DOI
10.48550/arxiv.quant-ph/0206121

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This note presents a quantum protocol that demonstrates that_weak_ coin flipping with bias approximately 0.239, less than 1/4, is possible. A bias of 1/4 was the smallest known, and followed from the strong coin flipping protocol of [Ambainis 2001]. Protocols with yet smaller bias, approximately 0.207, have independently been discovered [Ambainis 2001, Spekkens and Rudolph 2002]. We also present an alternative strong coin flipping protocol with bias 1/4 with analysis simpler than that of [Ambainis 2001].
This note presents a quantum protocol that demonstrates that weak coin flipping with bias ≈ 0.239, less than 1/4, is possible. A bias of 1/4 was the smallest known, and followed from the strong coin flipping protocol of Ambainis [2]. Protocols with yet smaller bias ≈ 0.207 have independently been discovered [4, 10]. We also present an alternative strong coin flipping protocol with bias 1/4 with analysis simpler than that of [2]. 1 Quantum weak coin flipping Often in applications based on this primitive, coin-flipping is used to choose one of two competing parties as the “winner”. In the classic example from [5], Alice and Bob are getting a divorce, and would like to decide who gets the car. They decide to toss a coin for that purpose, but don’t trust each other. In such a scenario, they could instead play any fair game to decide the issue. Motivated by this, we consider the following weaker version of coin-flipping. A weak coin flipping protocol with bias ǫ, is a two-party communication game in the style of [11], in which the players start with no inputs, and compute a value cA,cB ∈ {0,1} respectively or declare that the other player is cheating. The protocol is deemed successful if Alice and Bob agree on the outcome, i.e. cA = cB.
We investigate weak coin flipping, a fundamental cryptographic primitive where two distrustful parties need to remotely establish a shared random bit. A cheating player can try to bias the output bit towards a preferred value. For weak coin flipping the players have known opposite preferred values. A weak coin-flipping protocol has a bias є if neither player can force the outcome towards their preferred value with probability more than 1/2+є. While it is known that all classical protocols have є=1/2, Mochon showed in 2007 that quantumly weak coin flipping can be achieved with arbitrarily small bias (near perfect) but the former best known explicit protocol has bias 1/6 (also due to Mochon, 2005). We propose a framework to construct new explicit protocols achieving biases below 1/6. In particular, we construct explicit unitaries for protocols with bias down to 1/10. To go lower, we introduce what we call the Elliptic Monotone Align (EMA) algorithm which, together with the framework, allows us to construct protocols with arbitrarily small biases.
We study the class of protocols for weak quantum coin flipping introduced by Spekkens and Rudolph (quant-ph/0202118). We show that, for any protocol in this class, one party can win the coin flip with probability at least 1/21/\sqrt{2}1/2​.
We investigate weak coin flipping, a fundamental cryptographic primitive where two distrustful parties need to remotely establish a shared random bit. A cheating player can try to bias the output bit towards a preferred value. For weak coin flipping the players have known opposite preferred values. A weak coin-flipping protocol has a bias ϵ\epsilonϵ if neither player can force the outcome towards their preferred value with probability more than 12+ϵ\frac{1}{2}+\epsilon21​+ϵ. While it is known that all classical protocols have ϵ=12\epsilon=\frac{1}{2}ϵ=21​, Mochon showed in 2007 [arXiv:0711.4114] that quantumly weak coin flipping can be achieved with arbitrarily small bias (near perfect) but the best known explicit protocol has bias 1/61/61/6 (also due to Mochon, 2005 [Phys. Rev. A 72, 022341]). We propose a framework to construct new explicit protocols achieving biases below 1/61/61/6. In particular, we construct explicit unitaries for protocols with bias approaching 1/101/101/10. To go below, we introduce what we call the Elliptic Monotone Align (EMA) algorithm which, together with the framework, allows us to numerically construct protocols with arbitrarily small biases.
We present a family of protocols for flipping a coin over a telephone in a quantum mechanical setting. The family contains protocols with n + 2 messages for all n > 1, and asymptotically achieves a bias of 0.192. The case n = 2 is equivalent to the protocol of Spekkens and Rudolph with bias 0.207, which was the best known protocol. The case n = 3 achieves a bias of 0.199, and n = 8 achieves a bias of 0.193. The analysis of the protocols uses Kitaev's description of coin-flipping as a semidefinite program. We construct an analytical solution to the dual problem which provides an upper bound on the amount that a party can cheat.
Mochon's proof [Quantum Weak Coin Flipping with Arbitrarily Small Bias, preprint, arXiv:0711.4114, 2007] of the existence of quantum weak coin flipping with arbitrarily small bias is a fundamental result in quantum cryptography, but at the same time one of the least understood. Though used several times as a black box in important follow-up results [M. Ganz, Quantum Leader Election, preprint, arXiv:0910.4952, 2009; A. Chailloux and I. Kerenidis, in Proceedings of the 50th Annual IEEE Symposium on Foundations of Computer Science, IEEE Computer Society, Los Alamitos, CA, 2009, pp. 527--533; N. Aharon and J. Silman, New J. Phys., 12 (2010), 033027; A. Chailloux and I. Kerenidis, in Proceedings of the 52nd Annual IEEE Symposium on Foundations of Computer Science, IEEE Computer Society, Los Alamitos, CA, 2011; I. Kerenidis and S. Zhang, in Theory of Quantum Computation, Communication, and Cryptography, Lecture Notes in Computer Science 7582, Springer, Berlin, 2013, pp. 13--28], the result has not been peer reviewed, its novel techniques (and, in particular, Kitaev's point game formalism) have not been applied anywhere else, and an explicit protocol is missing. We believe that truly understanding the existence proof and the novel techniques it relies on would constitute a major step in quantum information theory, leading to deeper understanding of entanglement and of quantum protocols in general. In this work, we make a first step in this direction. We simplify parts of Mochon's construction considerably, making about 202020 pages of analysis in the original proof superfluous, clarifying some other parts of the proof on the way, and presenting the proof in a way which is conceptually easier to grasp. We believe the resulting proof of existence is easier to understand, more readable, and certainly verifiable. Moreover, we analyze the resources neededto achieve a bias ε\varepsilonε and show that the number of qubits is O(log⁡1ε)O(\log \frac{1}{\varepsilon})O(logε1​), while the number of rounds is (1ε)O(1ε)(\frac{1}{\varepsilon})^{O(\frac{1}{\varepsilon})}(ε1​)O(ε1​). A true understanding of the proof, including Kitaev's point-game techniques and their applicability, as well as completing the task of constructing an explicit (and also simpler and more efficient) protocol, are left to future work.