Published October 13, 2022 | Version Published
Book Section - Chapter

Succinct Classical Verification of Quantum Computation

  • 1. ROR icon University of California, Berkeley
  • 2. ROR icon Massachusetts Institute of Technology
  • 3. ROR icon Max Planck Institute for Security and Privacy
  • 4. ROR icon California Institute of Technology

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).

Copyright and License

© 2022 International Association for Cryptologic Research.

Acknowledgement

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 the MIT-IBM Watson AI, a grant from Analog Devices and a Microsoft Trustworthy AI grant. 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.

Additional details

Related works

Describes
Journal Article: https://rdcu.be/e1nTH (ReadCube)
Is new version of
Discussion Paper: arXiv:2206.14929 (arXiv)

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

Caltech Custom Metadata

Caltech groups
Institute for Quantum Information and Matter
Series Name
Lecture Notes in Computer Science
Series Volume or Issue Number
13508
Publication Status
Published