Quantum Compression

John A. Vaccaro, Yasuyoshi Mitsumori, Stephen Mark Barnett +4 more

Jincheng Zhang

This paper presents the Dynamic Topological Quantum Data Compression (DTQC) algorithm, a novel approach to data compression leveraging quantum properties and topology. Traditional data compression methods often rely on static algorithms that struggle to efficiently handle dynamic data variations. DTQC introduces a dynamic topological structure within the quantum data representation, enabling a more efficient compression and storage process. The core mechanism centers on the intelligent application of quantum features and topological information to achieve enhanced compression ratios and data integrity. This work contributes to the development of a robust and adaptable data compression technique with potential applications across various domains.

George Jaroszkiewicz

Chenan Wei

Jincheng Zhang

Quantum Data Compression Algorithm is a novel algorithm designed to enhance data transmission efficiency through adaptive compression based on the inherent properties of the data itself. This research explores a method that dynamically adjusts compression parameters based on the data's characteristics, moving beyond traditional compression techniques. The core mechanism relies on leveraging quantum data compression principles to achieve a more robust and efficient compression process. This paper presents a detailed overview of the proposed algorithm, its underlying principles, and preliminary experimental results demonstrating its effectiveness.

Chen‐Rui Fan, Bo Lü, Xue‐Ting Feng +2 more

Quantum data compression is of great significance to both quantum computation and quantum communication due to the limited resources for quantum storage. Here in this study, we present an efficient multi-qubit quantum data compression protocol in which N identically prepared qubits can be perfectly compressed into qubits. Moreover, the feasible implementation of the quantum data compression is also designed based on the IBM Quantum Experience. The experiment reveals efficient information compression performance using the current scheme. We believe this method might be useful in quantum information which one could make the encoding of information on the qubits more efficiently, and also reducing the resources consumption for quantum storage.