Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing
The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10479501/ |
| _version_ | 1797227326041227264 |
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| author | Mansoor A. Khan Muhammad N. Aman Biplab Sikdar |
| author_facet | Mansoor A. Khan Muhammad N. Aman Biplab Sikdar |
| author_sort | Mansoor A. Khan |
| collection | DOAJ |
| description | The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights into their encoding algorithms from theoretical foundations to a mathematical perspective, as well as practical applications. Initially, the article briefly overviews classical computing and the limitations associated with classical bits in representing and processing complex information. Next, the article scrutinizes a variety of quantum embedding patterns, including basis encoding, amplitude encoding, Qsample encoding, angle encoding, quantum associative memory encoding, quantum random access memory, superdense encoding, Hamiltonian encoding, and others. In addition, each technique is accompanied by mathematical formulas and examples illustrating how each strategy can be applied. Finally, the article provides a comparative analysis of different quantum embedding/encoding methods, outlining their strengths and limitations. Overall, this insightful article highlights the potential of quantum encoding techniques for efficient information processing beyond classical bits, thereby facilitating scientists and design engineers in selecting the most appropriate encoding technique to develop smart algorithms for revolutionizing the field of quantum computing. |
| first_indexed | 2024-04-24T14:39:01Z |
| format | Article |
| id | doaj.art-e711e73dde364b8582a0f17912d135a4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T14:39:01Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e711e73dde364b8582a0f17912d135a42024-04-02T23:00:31ZengIEEEIEEE Access2169-35362024-01-0112461184613710.1109/ACCESS.2024.338215010479501Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information ProcessingMansoor A. Khan0https://orcid.org/0000-0002-4529-4183Muhammad N. Aman1https://orcid.org/0000-0002-4629-7589Biplab Sikdar2https://orcid.org/0000-0002-0084-4647Department of Electrical and Computer Engineering, National University of Singapore, Cluny Road, SingaporeSchool of Computing, College of Engineering, University of Nebraska–Lincoln, Lincoln, NE, USADepartment of Electrical and Computer Engineering, National University of Singapore, Cluny Road, SingaporeThe existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights into their encoding algorithms from theoretical foundations to a mathematical perspective, as well as practical applications. Initially, the article briefly overviews classical computing and the limitations associated with classical bits in representing and processing complex information. Next, the article scrutinizes a variety of quantum embedding patterns, including basis encoding, amplitude encoding, Qsample encoding, angle encoding, quantum associative memory encoding, quantum random access memory, superdense encoding, Hamiltonian encoding, and others. In addition, each technique is accompanied by mathematical formulas and examples illustrating how each strategy can be applied. Finally, the article provides a comparative analysis of different quantum embedding/encoding methods, outlining their strengths and limitations. Overall, this insightful article highlights the potential of quantum encoding techniques for efficient information processing beyond classical bits, thereby facilitating scientists and design engineers in selecting the most appropriate encoding technique to develop smart algorithms for revolutionizing the field of quantum computing.https://ieeexplore.ieee.org/document/10479501/Encoding patternsqubitsquantum computingquantum information processingquantum circuits |
| spellingShingle | Mansoor A. Khan Muhammad N. Aman Biplab Sikdar Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing IEEE Access Encoding patterns qubits quantum computing quantum information processing quantum circuits |
| title | Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing |
| title_full | Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing |
| title_fullStr | Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing |
| title_full_unstemmed | Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing |
| title_short | Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing |
| title_sort | beyond bits a review of quantum embedding techniques for efficient information processing |
| topic | Encoding patterns qubits quantum computing quantum information processing quantum circuits |
| url | https://ieeexplore.ieee.org/document/10479501/ |
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