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Updated: Jul 15, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Correcting quantum errors with entanglement
Todd Brun1, Igor Devetak, Min-Hsiu Hsieh
1Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA. tbrun@usc.edu
Entanglement-assisted quantum codes simplify quantum error correction by removing constraints, enabling efficient classical codes to achieve quantum communication goals. These codes also function catalytically for systems with limited shared entanglement.
Area of Science:
- Quantum Information Science
- Quantum Error Correction
- Coding Theory
Background:
- Standard quantum error-correcting codes require a dual-containing constraint.
- Classical linear coding theory offers efficient codes that attain Shannon capacity.
- Shared entanglement between encoder and decoder is a key resource in quantum communication.
Purpose of the Study:
- To demonstrate how shared entanglement simplifies quantum error correction theory.
- To introduce entanglement-assisted quantum codes (EAQC) that bypass standard constraints.
- To explore the application of EAQC in achieving quantum capacity and enabling quantum communication.
Main Methods:
- Developing entanglement-assisted quantum codes (EAQC).
- Adapting classical linear codes into the quantum realm.
- Analyzing the performance of EAQC in terms of the hashing bound and quantum capacity.
Main Results:
- EAQC eliminate the need for the dual-containing constraint found in standard quantum codes.
- Efficient classical codes can be transformed into EAQC that reach the hashing bound.
- EAQC can act as catalytic codes, facilitating quantum communication with minimal initial entanglement.
Conclusions:
- Shared entanglement offers a powerful tool for simplifying and advancing quantum error correction.
- Entanglement-assisted quantum coding provides a unified framework for classical and quantum coding theory.
- These codes have practical implications for quantum communication, especially in resource-limited scenarios.
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