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Updated: May 31, 2026
05:39
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
Published on: August 2, 2019
Distributed quantum information processing: a review of recent progress
Johannes Knörzer1,2,3, Xiaoyu Liu4,5, Benjamin Schiffer6
1Department of Physics, ETH Zürich, CH-8093 Zürich, Switzerland.
Summary
Distributed quantum information processing connects quantum devices for enhanced capabilities. This approach enables larger problems and new algorithms by leveraging multi-copy quantum states and communication trade-offs.
Area of Science:
- Quantum Information Science
- Distributed Quantum Computing
Background:
- Monolithic quantum devices face scalability limitations.
- Distributed quantum information processing interconnects multiple quantum processing nodes.
- Classical and quantum communication are key to distributed systems.
Purpose of the Study:
- To review theoretical foundations of distributed quantum protocols.
- To examine experimental platforms and algorithmic applications.
- To contextualize recent developments in the field.
Main Methods:
- Surveying theoretical foundations of distributed quantum protocols.
- Examining experimental platforms for distributed quantum computing.
- Analyzing algorithmic applications of distributed quantum resources.
Main Results:
- Distributed quantum processing overcomes scalability limits of monolithic devices.
- Enables access to larger problem instances and novel algorithms.
- Facilitates joint measurements on multiple copies of high-dimensional quantum states.
Conclusions:
- Distinguishing single-copy and multi-copy access is crucial for task complexity.
- Highlights trade-offs between classical and quantum communication models.
- Identifies practical challenges in realizing distributed quantum systems experimentally.
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