TY - GEN
T1 - Implementation and Analysis of Quantum Homomorphic Encryption
AU - Yarter, Maxwell
AU - Uehara, Glen
AU - Spanias, Andreas
N1 - Funding Information:
This study was supported in part by the NSF IRES award 1854273, the SenSIP center, and the NSF award 1540040
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Growing interest in the field of quantum computing is fueled by quantum computers projected 'quantum supremacy' in speed and security. The potential for ultra-high speeds may produce a dramatic change in data science, machine learning, analytics, and information processing. This research study will focus on encryption algorithms where quantum computing may affect protocols and deciphering codes. Specifically, homomorphic encryption (HE) enables mathematical operations to be performed on encrypted data without having to decrypt the data in the process. Quantum homomorphic encryption (QHE) enables quantum circuits to be performed on encrypted qubits. In this research experience for undergraduates (REU) study, we design quantum circuits to implement QHE on a quantum teleportation circuit. The teleportation algorithm is profiled in terms of performance and complexity and comparative results are provided for encoded versus unencoded circuits. This work serves as a building block for encrypting more complex quantum algorithms such as Quantum Neural Networks (QNN).
AB - Growing interest in the field of quantum computing is fueled by quantum computers projected 'quantum supremacy' in speed and security. The potential for ultra-high speeds may produce a dramatic change in data science, machine learning, analytics, and information processing. This research study will focus on encryption algorithms where quantum computing may affect protocols and deciphering codes. Specifically, homomorphic encryption (HE) enables mathematical operations to be performed on encrypted data without having to decrypt the data in the process. Quantum homomorphic encryption (QHE) enables quantum circuits to be performed on encrypted qubits. In this research experience for undergraduates (REU) study, we design quantum circuits to implement QHE on a quantum teleportation circuit. The teleportation algorithm is profiled in terms of performance and complexity and comparative results are provided for encoded versus unencoded circuits. This work serves as a building block for encrypting more complex quantum algorithms such as Quantum Neural Networks (QNN).
KW - cryptography
KW - encryption
KW - homomorphic encryption
KW - quantum computing
KW - quantum teleportation
KW - qubit
UR - http://www.scopus.com/inward/record.url?scp=85141055280&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141055280&partnerID=8YFLogxK
U2 - 10.1109/IISA56318.2022.9904399
DO - 10.1109/IISA56318.2022.9904399
M3 - Conference contribution
AN - SCOPUS:85141055280
T3 - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
BT - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
Y2 - 18 July 2022 through 20 July 2022
ER -