Hybrid Quantum Encoding: Combining Amplitude and Basis Encoding for Enhanced Data Storage and Processing in Quantum Computing
Bhattaraprot Bhabhatsatam, Sucha Smanchat · 2023
This research applies Bit-Partition hybrid quantum encoding methods to store and process classical data in quantum systems efficiently. By combining amplitude encoding for representing the index and basis encoding for the data values, we introduce a novel technique that leverages the strengths of both encoding methods. We describe the process of encoding and decoding the hybrid states, highlighting the potential benefits of this approach in terms of data storage and computational efficiency. Furthermore, we explore the decoding process, addressing the inherent uncertainty associated with quantum measurements and discussing strategies to minimize such uncertainty. Our findings suggest that hybrid encoding can improve quantum information processing tasks, making it a promising technique for future quantum computing applications. Further research is needed to optimize the encoding and decoding processes and explore the full potential of this approach in various quantum algorithms.