QI-MPC: A Hybrid Quantum-Inspired Model Predictive Control for Learning Optimal Policies
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913798283067392 |
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| author | Khan, Muhammad Al-Zafar Al-Karaki, Jamal |
| author_facet | Khan, Muhammad Al-Zafar Al-Karaki, Jamal |
| contents | In this paper, we present Quantum-Inspired Model Predictive Control (QIMPC), an approach that uses Variational Quantum Circuits (VQCs) to learn control polices in MPC problems. The viability of the approach is tested in five experiments: A target-tracking control strategy, energy-efficient building climate control, autonomous vehicular dynamics, the simple pendulum, and the compound pendulum. Three safety guarantees were established for the approach, and the experiments gave the motivation for two important theoretical results that, in essence, identify systems for which the approach works best. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13041 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QI-MPC: A Hybrid Quantum-Inspired Model Predictive Control for Learning Optimal Policies Khan, Muhammad Al-Zafar Al-Karaki, Jamal Quantum Physics Optimization and Control In this paper, we present Quantum-Inspired Model Predictive Control (QIMPC), an approach that uses Variational Quantum Circuits (VQCs) to learn control polices in MPC problems. The viability of the approach is tested in five experiments: A target-tracking control strategy, energy-efficient building climate control, autonomous vehicular dynamics, the simple pendulum, and the compound pendulum. Three safety guarantees were established for the approach, and the experiments gave the motivation for two important theoretical results that, in essence, identify systems for which the approach works best. |
| title | QI-MPC: A Hybrid Quantum-Inspired Model Predictive Control for Learning Optimal Policies |
| topic | Quantum Physics Optimization and Control |
| url | https://arxiv.org/abs/2504.13041 |