Publication | Open Access
Simple proof of the impossibility of bit commitment in generalized probabilistic theories using cone programming
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Citations
21
References
2018
Year
Mathematical ProgrammingBit CommitmentComputational Complexity TheoryEngineeringComputational ComplexityProbabilistic ComputationSimple ProofCone ProgrammingQuantum ComputingPost-quantum CryptographyInformation Theoretic SecurityDiscrete MathematicsQuantum EntanglementKolmogorov ComplexityMechanism DesignQuantum CryptographyQuantum SecurityProbability TheoryComputer ScienceCheating ProbabilitiesAlgorithmic Information TheoryCryptographyAutomated ReasoningNatural GeneralizationFormal MethodsQuantum CommunicationProbabilistic Programming
Bit commitment is a fundamental cryptographic task, in which Alice commits a bit to Bob such that she cannot later change the value of the bit, while, simultaneously, the bit is hidden from Bob. It is known that ideal bit commitment is impossible within quantum theory. In this work, we show that it is also impossible in generalized probabilistic theories (under a small set of assumptions) by presenting a quantitative trade-off between Alice's and Bob's cheating probabilities. Our proof relies crucially on a formulation of cheating strategies as cone programs, a natural generalization of semidefinite programs. In fact, using the generality of this technique, we prove that this result holds for the more general task of integer commitment.
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