Methods and Tools for Secure Quantum Clouds with a specific Case Study on Homomorphic Encryption
Aurelia Kusumastuti, Nikolay Tcholtchev, Philipp L\"ammel, Sebastian Bock, Manfred Hauswirth

TL;DR
This paper investigates methods to secure quantum cloud computing platforms by integrating homomorphic encryption into a quantum framework, evaluating performance and proposing comprehensive security strategies for future quantum cloud architectures.
Contribution
It demonstrates the technical feasibility of integrating homomorphic encryption with quantum computing frameworks and evaluates performance trade-offs of different algorithms.
Findings
QOTP offers low overhead and simplicity.
Chen and GSW algorithms have notable performance trade-offs.
Recommendations include implementing HE, QKD, and strict access controls.
Abstract
The rise of quantum computing/technology potentially introduces significant security challenges to cloud computing, necessitating quantum-resistant encryption strategies as well as protection schemes and methods for cloud infrastructures offering quantum computing time and services (i.e. quantum clouds). This research explores various options for securing quantum clouds and ensuring privacy, especially focussing on the integration of homomorphic encryption (HE) into Eclipse Qrisp, a high-level quantum computing framework, to enhance the security of quantum cloud platforms. The study addresses the technical feasibility of integrating HE with Qrisp, evaluates performance trade-offs, and assesses the potential impact on future quantum cloud architectures. The successful implementation and Qrisp integration of three post-quantum cryptographic (PQC) algorithms demonstrates the feasibility of…
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Taxonomy
TopicsCryptography and Data Security · Quantum Computing Algorithms and Architecture · Cloud Data Security Solutions
