Published June 29, 2022 | Version Submitted
Discussion Paper Open

Succinct Classical Verification of Quantum Computation

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, and - Succinct batch arguments for BQP (or QMA) assuming post-quantum LWE (without iO).

Additional Information

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) AL is supported in part by a Charles M. Vest fellowship. GM is partially supported by the German Federal Ministry of Education and Research BMBF (grant 16K15K042, project 6GEM). TV is supported by AFOSR YIP award number FA9550-16-1-0495, a grant from the Simons Foundation (828076, TV), MURI Grant FA9550-18-1-0161, the NSF QLCI program through grant number OMA-2016245 and the IQIM, an NSF Physics Frontiers Center (NSF Grant PHY-1125565) with support of the Gordon and Betty Moore Foundation (GBMF-12500028). AL, VV, and LY are supported in part by DARPA under Agreement No. HR00112020023, a grant from MIT-IBM Watson AI, a grant from Analog Devices, a Microsoft Trustworthy AI grant and the Thornton Family Faculty Research Innovation Fellowship. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Government or DARPA. LY was supported in part by an NSF graduate research fellowship.

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Additional details

Identifiers

Eprint ID
118567
Resolver ID
CaltechAUTHORS:20221221-004803338

Related works

Funding

National Academy of Engineering
Bundesministerium für Bildung und Forschung (BMBF)
16K15K042
Air Force Office of Scientific Research (AFOSR)
FA9550-16-1-0495
Simons Foundation
828076
Air Force Office of Scientific Research (AFOSR)
FA9550-18-1-0161
NSF
OMA-2016245
Institute for Quantum Information and Matter (IQIM)
NSF
PHY-1125565
Gordon and Betty Moore Foundation
GBMF-12500028
Defense Advanced Research Projects Agency (DARPA)
HR00112020023
MIT-IBM Watson AI Lab
Analog Devices
Microsoft Research
Massachusetts Institute of Technology (MIT)
NSF Graduate Research Fellowship

Dates

Created
2022-12-21
Created from EPrint's datestamp field
Updated
2023-06-02
Created from EPrint's last_modified field

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