Explicit Model Predictive Control with Quantum Encryption

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Mi, Yingjie, Ren, Zihao, Wang, Lei, Quevedo, Daniel E., Shi, Guodong
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866910067950878720
author Mi, Yingjie
Ren, Zihao
Wang, Lei
Quevedo, Daniel E.
Shi, Guodong
author_facet Mi, Yingjie
Ren, Zihao
Wang, Lei
Quevedo, Daniel E.
Shi, Guodong
contents This paper studies quantum-encrypted explicit MPC for constrained discrete-time linear systems in a cloud-based architecture. A finite-horizon quadratic MPC problem is solved offline to obtain a piecewise-affine controller. Shared quantum keys generated from Bell pairs and protected by quantum key distribution are used to encrypt the online control evaluation between the sensor and actuator. Based on this architecture, we develop a lightweight encrypted explicit MPC protocol, prove exact recovery of the plaintext control action, and characterize its computational efficiency. Numerical results demonstrate lower online complexity than classical encrypted MPC, while security is discussed in terms of confidentiality of plant data and control inputs.
format Preprint
id arxiv_https___arxiv_org_abs_2603_22653
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Explicit Model Predictive Control with Quantum Encryption
Mi, Yingjie
Ren, Zihao
Wang, Lei
Quevedo, Daniel E.
Shi, Guodong
Systems and Control
This paper studies quantum-encrypted explicit MPC for constrained discrete-time linear systems in a cloud-based architecture. A finite-horizon quadratic MPC problem is solved offline to obtain a piecewise-affine controller. Shared quantum keys generated from Bell pairs and protected by quantum key distribution are used to encrypt the online control evaluation between the sensor and actuator. Based on this architecture, we develop a lightweight encrypted explicit MPC protocol, prove exact recovery of the plaintext control action, and characterize its computational efficiency. Numerical results demonstrate lower online complexity than classical encrypted MPC, while security is discussed in terms of confidentiality of plant data and control inputs.
title Explicit Model Predictive Control with Quantum Encryption
topic Systems and Control
url https://arxiv.org/abs/2603.22653