Quantum Data Compression for Efficient Generation of Control Pulses

In order to physically realize a robust quantum gate, a specifically tailored laser pulse needs to be derived via strategies such as quantum optimal control. Unfortunately, such strategies face exponential complexity with quantum system size and become infeasible even for moderate-sized quantum circ...

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Bibliographic Details
Published in:2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC) pp. 216 - 221
Main Authors: Volya, Daniel, Mishra, Prabhat
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 16.01.2023
Series:ACM Conferences
Subjects:
Applied computing
Applied computing > Physical sciences and engineering
Applied computing > Physical sciences and engineering > Physics
Design automation
Dimensionality reduction
Hardware
Information systems
Information systems > Data management systems
Information systems > Data management systems > Data structures
Information systems > Data management systems > Data structures > Data layout
Information systems > Data management systems > Data structures > Data layout > Data compression
Logic gates
Mathematics of computing
Mathematics of computing > Information theory
Mathematics of computing > Information theory > Coding theory
Optimal control
Quantum algorithm
Quantum system
Real-time systems
Security and privacy
Security and privacy > Cryptography
Security and privacy > Cryptography > Mathematical foundations of cryptography
ISBN:9781450397834, 1450397832
ISSN:2153-697X
Online Access:Get full text
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Summary:In order to physically realize a robust quantum gate, a specifically tailored laser pulse needs to be derived via strategies such as quantum optimal control. Unfortunately, such strategies face exponential complexity with quantum system size and become infeasible even for moderate-sized quantum circuits. In this paper, we propose an automated framework for effective utilization of these quantum resources. Specifically, this paper makes three important contributions. First, we utilize an effective combination of register compression and dimensionality reduction to reduce the area of a quantum circuit. Next, due to the properties of an autoencoder, the compressed gates produced are robust even in the presence of noise. Finally, our proposed compression reduces the computation time of quantum control. Experimental evaluation using popular quantum algorithms demonstrates that our proposed approach can enable efficient generation of noise-resilient control pulses while state-of-the-art fails to handle large-scale quantum systems.
ISBN:9781450397834
1450397832
ISSN:2153-697X
DOI:10.1145/3566097.3567927