DisQ: A Markov Decision Process Based Language for Quantum Distributed Systems
<|reference_start|>DisQ: A Markov Decision Process Based Language for Quantum Distributed Systems: The development of quantum computers has reached a great milestone, in spite of restrictions on important quantum resources: the number of qubits being entangled at a single-location quantum computer. Recently, there has been some work to combine single-location quantum computing and quantum networking techniques to develop distributed quantum systems such that large entangled qubit groups can be established through remote processors, and quantum algorithms can be executed distributively. We present DisQ as a framework to facilitate the rewrites of quantum algorithms to their distributed versions. The core of DisQ is a distributed quantum programming language that combines the concepts of Chemical Abstract Machine (CHAM) and Markov Decision Processes (MDP) with the objective of providing a clearly distinguishing quantum concurrent and distributed behaviors. Based on the DisQ language, we develop a simulation relation for verifying the equivalence of a quantum algorithm and its distributed versions. We present several case studies, such as quantum addition and Shor's algorithm, to demonstrate their equivalent rewrites to distributed versions.<|reference_end|>
@article{chang2024disq:,
    title={DisQ: A Markov Decision Process Based Language for Quantum Distributed
  Systems},
    author={Le Chang, Saitej Yavvari, Rance Cleaveland, Samik Basu, Liyi Li},
    journal={arXiv preprint arXiv:2407.09710},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.09710},
    primaryClass={quant-ph cs.PL}
}