# Quantum Data Center: Perspectives

arXiv: https://arxiv.org/abs/2309.06641 · HTML: https://mlsanity.com/paper/2309.06641/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 76 references that are in the map.
- First posted on arXiv 12 Sep 2023.

## Builds on (most cited first, 8 of 8)

- [Quantum advantage in learning from experiments](https://mlsanity.com/paper/2112.00778/) (2021)
- [q-means: A quantum algorithm for unsupervised machine learning](https://mlsanity.com/paper/1812.03584/) (2018)
- [Machine learning for long-distance quantum communication](https://mlsanity.com/paper/1904.10797/) (2019)
- [A quantum algorithm for training wide and deep classical neural networks](https://mlsanity.com/paper/2107.09200/) (2021)
- [Quantum Machine Learning for Radio Astronomy](https://mlsanity.com/paper/2112.02655/) (2021)
- [Data centers with quantum random access memory and quantum networks](https://mlsanity.com/paper/2207.14336/) (2022)
- [Quantum Internet: from Communication to Distributed Computing!](https://mlsanity.com/paper/1805.04360/) (2018)
- [Data Structures in Classical and Quantum Computing](https://mlsanity.com/paper/1308.0833/) (2013)

## Built on by (most cited first, 5 of 5)

- [Quantum delegated and federated learning via quantum homomorphic encryption](https://mlsanity.com/paper/2409.19359/) (2024)
- [Experimentally validated quantum-secure federated learning over a multi-user quantum network](https://mlsanity.com/paper/2501.12709/) (2025)
- [Towards efficient and secure quantum-classical communication networks](https://mlsanity.com/paper/2411.01081/) (2024)
- [Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach](https://mlsanity.com/paper/2601.07882/) (2026)
- [Four Generations of Quantum Biomedical Sensors](https://mlsanity.com/paper/2603.29944/) (2026)

## Abstract (arXiv)

A quantum version of data centers might be significant in the quantum era. In this paper, we introduce Quantum Data Center (QDC), a quantum version of existing classical data centers, with a specific emphasis on combining Quantum Random Access Memory (QRAM) and quantum networks. We argue that QDC will provide significant benefits to customers in terms of efficiency, security, and precision, and will be helpful for quantum computing, communication, and sensing. We investigate potential scientific and business opportunities along this novel research direction through hardware realization and possible specific applications. We show the possible impacts of QDCs in business and science, especially the machine learning and big data industries.
