Full private delegated quantum computing tailored from user to industry
Alejandro Mata Ali, Adriano Mauricio Lusso, Edgar Mencia
TL;DR
This work addresses privacy-preserving delegated quantum computing for both individual users and industry, proposing a structured framework that adapts to the client's available quantum resources. It surveys MBQC, CBQC, and FDQC, and introduces industry- and user-oriented protocols that combine encryption, trap-based verification, SWAP obfuscation, and distributed architectures to protect data and circuit structure. The paper also presents a verification algorithm and concrete algorithm demonstrations (Grover, QAOA, QNN) to illustrate practical deployment scenarios. Overall, it offers a unified set of privacy-aware delegation strategies across diverse resource regimes, enabling more secure and scalable use of quantum outsourcing in real-world settings.
Abstract
In this paper, we present a set of private and secure delegated quantum computing protocols and techniques tailored to user-level and industry-level use cases, depending on the computational resources available to the client, the specific privacy needs required, and the type of algorithm. Our protocols are presented at a high level as they are independent of the particular algorithm used for such encryption and decryption processes. Additionally, we propose a method to verify the correct execution of operations by the external server.
