Succinct Classical Verification of Quantum Computation

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Abstract

We construct a classically verifiable succinct interactive argument for quantum computation (BQP) with communication complexity and verifier runtime that are poly-logarithmic in the runtime of the BQP computation (and polynomial in the security parameter). Our protocol is secure assuming the post-quantum security of indistinguishability obfuscation (iO) and Learning with Errors (LWE). This is the first succinct argument for quantum computation in the plain model; prior work (Chia-Chung-Yamakawa, TCC ’20) requires both a long common reference string and non-black-box use of a hash function modeled as a random oracle. At a technical level, we revisit the framework for constructing classically verifiable quantum computation (Mahadev, FOCS ’18). We give a self-contained, modular proof of security for Mahadev’s protocol, which we believe is of independent interest. Our proof readily generalizes to a setting in which the verifier’s first message (which consists of many public keys) is compressed. Next, we formalize this notion of compressed public keys; we view the object as a generalization of constrained/programmable PRFs and instantiate it based on indistinguishability obfuscation. Finally, we compile the above protocol into a fully succinct argument using a (sufficiently composable) succinct argument of knowledge for NP. Using our framework, we achieve several additional results, including Succinct arguments for QMA (given multiple copies of the witness),Succinct non-interactive arguments for BQP (or QMA) in the quantum random oracle model, andSuccinct batch arguments for BQP (or QMA) assuming post-quantum LWE (without iO).

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APA

Bartusek, J., Kalai, Y. T., Lombardi, A., Ma, F., Malavolta, G., Vaikuntanathan, V., … Yang, L. (2022). Succinct Classical Verification of Quantum Computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13508 LNCS, pp. 195–211). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15979-4_7

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