Distributed Quantum Computing: a Survey
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Abstract (arXiv)
Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundred of noisy qubits available. Yet -- to fully unveil the potential of quantum computing out of the labs and into business reality -- the challenge ahead is to substantially scale the qubit number, reaching orders of magnitude exceeding the thousands (if not millions) of noise-free qubits. To this aim, there exists a broad consensus among both academic and industry communities about considering the distributed computing paradigm as the key solution for achieving such a scaling, by envision multiple moderate-to-small-scale quantum processors communicating and cooperating to execute computational tasks exceeding the computational resources available within a single processing device. The aim of this survey is to provide the reader with an overview about the main challenges and open problems arising with distributed quantum computing, and with an easy access and guide towards the relevant literature and the prominent results from a computer/communications engineering perspective.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Dec 2022.
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Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 1.
8 papers.
- 2024Quantum Architecture Search: A Surveycited by 32
- 2023Privacy-preserving quantum federated learning via gradient hidingcited by 15
- 2025Quantum Federated Learning: A Comprehensive Surveycited by 10
- 2023Blind quantum machine learning with quantum bipartite correlatorcited by 8
- 2024Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospectscited by 8
- 2025Distributed Quantum Neural Networks on Distributed Photonic Quantum Computingcited by 3
- 2024A Universal Quantum Computer From Relativistic Motioncited by 0
- 2026Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Accesscited by 0
- 2026Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access4 Sep 2026
- 2025Quantum Federated Learning: A Comprehensive Survey21 Aug 2025
- 2025Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing13 May 2025
- 2024A Universal Quantum Computer From Relativistic Motion31 Oct 2024
- 2024Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects30 Jun 2024
- 2024Quantum Architecture Search: A Survey10 Jun 2024
- 2023Privacy-preserving quantum federated learning via gradient hiding7 Dec 2023
- 2023Blind quantum machine learning with quantum bipartite correlator19 Oct 2023