Quantum One-Time Protection of any Randomized Algorithm
Sam Gunn, Ramis Movassagh

TL;DR
This paper introduces a quantum one-time token scheme that enables secure, single-use evaluation of any classical randomized algorithm, including AI models, with minimal quantum resources and broad practical applicability.
Contribution
It proposes a novel quantum one-time token scheme for classical randomized algorithms that does not require coherent quantum implementation of the program.
Findings
The scheme guarantees one-time security based on high min-entropy outputs.
Quantum resources depend only on security level, not program complexity.
Applicable to near-term quantum devices like NISQ systems.
Abstract
The meteoric rise in power and popularity of machine learning models dependent on valuable training data has reignited a basic tension between the power of running a program locally and the risk of exposing details of that program to the user. At the same time, fundamental properties of quantum states offer new solutions to data and program security that can require strikingly few quantum resources to exploit, and offer advantages outside of mere computational run time. In this work, we demonstrate such a solution with quantum one-time tokens. A quantum one-time token is a quantum state that permits a certain program to be evaluated exactly once. One-time security guarantees, roughly, that the token cannot be used to evaluate the program more than once. We propose a scheme for building quantum one-time tokens for any randomized classical program, which include generative AI models. We…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
