CryptoDB
Quantum Computationally Predicate-Binding Commitments with Application in Quantum Zero-Knowledge Arguments for NP
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| Conference: | ASIACRYPT 2021 |
| Abstract: | A quantum bit commitment scheme is to realize bit (rather than qubit) commitment by exploiting quantum communication and quantum computation. In this work, we study the binding property of the quantum string commitment scheme obtained by composing a generic quantum perfectly(resp. statistically)-hiding computationally-binding bit commitment scheme (which can be realized based on quantum-secure one-way permutations(resp. functions)) in parallel. We show that the resulting scheme satisfies a stronger quantum computational binding property, which we will call predicate-binding, than the trivial honest-binding. Intuitively and very roughly, the predicate-binding property guarantees that given any inconsistent predicate pair over a set of strings (i.e. no strings in this set can satisfy both predicates), if a (claimed) quantum commitment can be opened so that the revealed string satisfies one predicate with certainty, then the same commitment cannot be opened so that the revealed string satisfies the other predicate (except for a negligible probability). As an application, we plug a generic quantum perfectly(resp. statistically)-hiding computationally-binding bit commitment scheme in Blum's zero-knowledge protocol for the NP-complete language Hamiltonian Cycle. This will give rise to the first quantum perfect(resp. statistical) zero-knowledge argument system (with soundness error 1/2) for all NP languages based solely on quantum-secure one-way permutations(resp. functions). The quantum computational soundness of this system will follow immediately from the quantum computational predicate-binding property of commitments. |
Video from ASIACRYPT 2021
BibTeX
@inproceedings{asiacrypt-2021-31391,
title={Quantum Computationally Predicate-Binding Commitments with Application in Quantum Zero-Knowledge Arguments for NP},
publisher={Springer-Verlag},
doi={10.1007/978-3-030-92062-3_20},
author={Jun Yan},
year=2021
}