Towards a Distributed Quantum Computing Ecosystem
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Abstract (arXiv)
The Quantum Internet, by enabling quantum communications among remote quantum nodes, is a network capable of supporting functionalities with no direct counterpart in the classical world. Indeed, with the network and communications functionalities provided by the Quantum Internet, remote quantum devices can communicate and cooperate for solving challenging computational tasks by adopting a distributed computing approach. The aim of this paper is to provide the reader with an overview about the main challenges and open problems arising with the design of a Distributed Quantum Computing ecosystem. For this, we provide a survey, following a bottom-up approach, from a communications engineering perspective. We start by introducing the Quantum Internet as the fundamental underlying infrastructure of the Distributed Quantum Computing ecosystem. Then we go further, by elaborating on a high-level system abstraction of the Distributed Quantum Computing ecosystem. Such an abstraction is described through a set of logical layers. Thereby, we clarify dependencies among the aforementioned layers and, at the same time, a road-map emerges.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Feb 2020.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 4.
11 papers.
- 2023Privacy-preserving quantum federated learning via gradient hidingcited by 15
- 2025Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computerscited by 14
- 2022An Invitation to Distributed Quantum Neural Networkscited by 13
- 2022Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulationcited by 13
- 2023Blind quantum machine learning with quantum bipartite correlatorcited by 8
- 2024Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcarecited by 7
- 2025Quantum Federated Learning: A Comprehensive Surveycited by 7
- 2025Adversarial Robustness of Partitioned Quantum Classifierscited by 2
- 2025Adversarial Robustness in Distributed Quantum Machine Learningcited by 2
- 2024Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulationscited by 1
- 2024Federated learning with distributed fixed design quantum chips and quantum channelscited by 0
- 2025Quantum Federated Learning: A Comprehensive Survey21 Aug 2025
- 2025Adversarial Robustness in Distributed Quantum Machine Learning16 Aug 2025
- 2025Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers18 Mar 2025
- 2025Adversarial Robustness of Partitioned Quantum Classifiers28 Jan 2025
- 2024Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare13 May 2024
- 2024Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations9 Mar 2024
- 2024Federated learning with distributed fixed design quantum chips and quantum channels24 Jan 2024
- 2023Privacy-preserving quantum federated learning via gradient hiding7 Dec 2023
- 2023Blind quantum machine learning with quantum bipartite correlator19 Oct 2023
- 2022Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation16 Nov 2022
- 2022An Invitation to Distributed Quantum Neural Networks14 Nov 2022