From Bits to Qubits: Challenges in Classical-Quantum Integration

While quantum computing holds immense potential for tackling previously intractable problems, its current practicality remains limited. A critical aspect of realizing quantum utility is the ability to efficiently interface with data from the classical world. This research focuses on the crucial phase of quantum encoding, which enables the transformation of classical information into quantum states for processing within quantum systems. We focus on three prominent encoding models: Phase Encoding, Qubit Lattice, and Flexible Representation of Quantum Images (FRQI) for cost and efficiency analysis. The aim of quantifying their different characteristics is to analyze their impact on quantum processing workflows. This comparative analysis offers valuable insights into their limitations and potential to accelerate the development of practical quantum computing solutions.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/hipc62374.2024.00025
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

From Bits to Qubits: Challenges in Classical-Quantum Integration

Sudhanshu Pravin Kulkarni, E. Wes Bethel
Quantum Mechanics and Applications
article

From Bits to Qubits: Challenges in Classical-Quantum Integration

Sudhanshu Pravin Kulkarni, E. Wes Bethel
article en

Abstract

While quantum computing holds immense potential for tackling previously intractable problems, its current practicality remains limited. A critical aspect of realizing quantum utility is the ability to efficiently interface with data from the classical world. This research focuses on the crucial phase of quantum encoding, which enables the transformation of classical information into quantum states for processing within quantum systems. We focus on three prominent encoding models: Phase Encoding, Qubit Lattice, and Flexible Representation of Quantum Images (FRQI) for cost and efficiency analysis. The aim of quantifying their different characteristics is to analyze their impact on quantum processing workflows. This comparative analysis offers valuable insights into their limitations and potential to accelerate the development of practical quantum computing solutions.

San Francisco State University (US)
Openalex Percentile: Top 76%
Quantum Mechanics and Applications
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