Quantum Cross Subspace Alignment Codes via the N-sum Box Abstraction
Cross-subspace alignment (CSA) codes are used in various private information retrieval (PIR) schemes (e.g., with secure storage) and in secure distributed batch matrix multiplication (SDBMM). Using a recently developed N -sum box abstraction of a quantum multiple-access channel (QMAC), we translate...
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Published in | Conference record - Asilomar Conference on Signals, Systems, & Computers pp. 670 - 674 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
29.10.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Cross-subspace alignment (CSA) codes are used in various private information retrieval (PIR) schemes (e.g., with secure storage) and in secure distributed batch matrix multiplication (SDBMM). Using a recently developed N -sum box abstraction of a quantum multiple-access channel (QMAC), we translate CSA schemes over classical multiple-access channels into efficient quantum CSA schemes over a QMAC, achieving maximal superdense coding gain. Because of the N -sum box abstraction, the underlying problem of coding to exploit quantum entanglements for CSA schemes, becomes conceptually equivalent to that of designing a channel matrix for a MIMO MAC subject to given structural constraints imposed by the N -sum box abstraction, such that the resulting MIMO MAC is able to implement the functionality of a CSA scheme (encoding/decoding) over-the-air. Applications include Quantum PIR with secure and MDS-coded storage, as well as Quantum SDBMM. |
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ISSN: | 2576-2303 |
DOI: | 10.1109/IEEECONF59524.2023.10477050 |