Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE
Abstract Homomorphic encryption is a recent and fundamental breakthrough in modern cryptography, which allows the performance of operations on encrypted data without unveiling the data. Leveraging quantum mechanics principles, quantum computers can potentially solve certain computational problems ex...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
|
| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01851-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849733791934840832 |
|---|---|
| author | Shreya Savadatti Aswani Kumar Cherukuri Annapurna Jonnalagadda Athanasios V. Vasilakos |
| author_facet | Shreya Savadatti Aswani Kumar Cherukuri Annapurna Jonnalagadda Athanasios V. Vasilakos |
| author_sort | Shreya Savadatti |
| collection | DOAJ |
| description | Abstract Homomorphic encryption is a recent and fundamental breakthrough in modern cryptography, which allows the performance of operations on encrypted data without unveiling the data. Leveraging quantum mechanics principles, quantum computers can potentially solve certain computational problems exponentially faster than classical computers. This immense computational power offers new possibilities for various fields, including cryptography. The rapid evolution of both these fields has led to the development of quantum fully homomorphic encryption (QFHE), which makes the capabilities of classical HE extend into the quantum domain. However, many existing QFHE schemes require significant memory due to complex calculations and fault-tolerance needs. This paper contributes in two ways. First, we provide a comprehensive survey of two specific QFHE schemes, discussing their underlying principles, mathematical frameworks, security aspects, and practical applications. We also explore the challenges posed by quantum computing and how QFHE addresses these to achieve both security and computational efficiency. Second, we propose a new hierarchical memory management system for QFHE, which includes a “quantum cache” (a specialized memory storage for quantum data) and a “reinforcement learning agent” (an intelligent system that learns from experience to optimize decisions). This system dynamically manages data movement between the cache and classical memory, improving memory efficiency and potentially boosting computational performance. |
| format | Article |
| id | doaj-art-e63e7792867f4ea18fdd534be95fd454 |
| institution | DOAJ |
| issn | 2199-4536 2198-6053 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj-art-e63e7792867f4ea18fdd534be95fd4542025-08-20T03:07:57ZengSpringerComplex & Intelligent Systems2199-45362198-60532025-04-0111612810.1007/s40747-025-01851-7Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHEShreya Savadatti0Aswani Kumar Cherukuri1Annapurna Jonnalagadda2Athanasios V. Vasilakos3School of Computer Science Engineering and Information Systems, Vellore Institute of TechnologySchool of Computer Science Engineering and Information Systems, Vellore Institute of TechnologySchool of Computer Science and Engineering, Vellore Institute of TechnologyDepartment of Networks and Communications, College of Computer Science and Information Technology, IAUAbstract Homomorphic encryption is a recent and fundamental breakthrough in modern cryptography, which allows the performance of operations on encrypted data without unveiling the data. Leveraging quantum mechanics principles, quantum computers can potentially solve certain computational problems exponentially faster than classical computers. This immense computational power offers new possibilities for various fields, including cryptography. The rapid evolution of both these fields has led to the development of quantum fully homomorphic encryption (QFHE), which makes the capabilities of classical HE extend into the quantum domain. However, many existing QFHE schemes require significant memory due to complex calculations and fault-tolerance needs. This paper contributes in two ways. First, we provide a comprehensive survey of two specific QFHE schemes, discussing their underlying principles, mathematical frameworks, security aspects, and practical applications. We also explore the challenges posed by quantum computing and how QFHE addresses these to achieve both security and computational efficiency. Second, we propose a new hierarchical memory management system for QFHE, which includes a “quantum cache” (a specialized memory storage for quantum data) and a “reinforcement learning agent” (an intelligent system that learns from experience to optimize decisions). This system dynamically manages data movement between the cache and classical memory, improving memory efficiency and potentially boosting computational performance.https://doi.org/10.1007/s40747-025-01851-7Quantum computingHomomorphic encryptionQuantum fully homomorphic encryptionCryptographyMemory management system |
| spellingShingle | Shreya Savadatti Aswani Kumar Cherukuri Annapurna Jonnalagadda Athanasios V. Vasilakos Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE Complex & Intelligent Systems Quantum computing Homomorphic encryption Quantum fully homomorphic encryption Cryptography Memory management system |
| title | Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE |
| title_full | Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE |
| title_fullStr | Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE |
| title_full_unstemmed | Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE |
| title_short | Analysis of quantum fully homomorphic encryption schemes (QFHE) and hierarchial memory management for QFHE |
| title_sort | analysis of quantum fully homomorphic encryption schemes qfhe and hierarchial memory management for qfhe |
| topic | Quantum computing Homomorphic encryption Quantum fully homomorphic encryption Cryptography Memory management system |
| url | https://doi.org/10.1007/s40747-025-01851-7 |
| work_keys_str_mv | AT shreyasavadatti analysisofquantumfullyhomomorphicencryptionschemesqfheandhierarchialmemorymanagementforqfhe AT aswanikumarcherukuri analysisofquantumfullyhomomorphicencryptionschemesqfheandhierarchialmemorymanagementforqfhe AT annapurnajonnalagadda analysisofquantumfullyhomomorphicencryptionschemesqfheandhierarchialmemorymanagementforqfhe AT athanasiosvvasilakos analysisofquantumfullyhomomorphicencryptionschemesqfheandhierarchialmemorymanagementforqfhe |