Power and limitations of distributed quantum state purification
- URL: http://arxiv.org/abs/2509.08691v1
- Date: Wed, 10 Sep 2025 15:33:18 GMT
- Title: Power and limitations of distributed quantum state purification
- Authors: Benchi Zhao, Yu-Ao Chen, Xuanqiang Zhao, Chengkai Zhu, Giulio Chiribella, Xin Wang,
- Abstract summary: Quantum state purification has applications in quantum communication and computation with imperfect devices.<n>We systematically study distributed quantum state purification under local operations and classical communication.<n>We show that single-state purification is achievable, and we provide an explicit analytical LOCC protocol for individual target states.
- Score: 8.17540482298122
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum state purification, which mitigates noise by exploiting multiple noisy copies of unknown states, has applications in quantum communication and computation with imperfect devices. Despite its importance, the fundamental capabilities and limitations of purification in distributed quantum systems remain largely unexplored. Here, we systematically study distributed quantum state purification under local operations and classical communication (LOCC). We prove that no nontrivial two-to-one LOCC purification protocol exists for three fundamental sets: all pure states, all maximally entangled states, and the four Bell states. This no-go theorem demonstrates that no LOCC protocol can reduce noise for every state within these sets, even probabilistically. In stark contrast, we show that single-state purification is achievable, and we provide an explicit analytical LOCC protocol for individual target states. For arbitrary state sets, we develop an optimization-based algorithm that systematically designs LOCC purification protocols, demonstrating its efficacy through concrete examples. These results delineate the fundamental boundaries of LOCC-based purification and provide practical strategies for noise reduction in distributed quantum information processing.
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