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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| Vydáno v: | 2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC) s. 216 - 221 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY, USA
ACM
16.01.2023
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| Edice: | ACM Conferences |
| Témata: | |
| ISBN: | 9781450397834, 1450397832 |
| ISSN: | 2153-697X |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Mishra, Prabhat Volya, Daniel |
| Author_xml | – sequence: 1 givenname: Daniel surname: Volya fullname: Volya, Daniel organization: University of Florida – sequence: 2 givenname: Prabhat surname: Mishra fullname: Mishra, Prabhat organization: University of Florida |
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| Snippet | 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.... |
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| SubjectTerms | 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 |
| Title | Quantum Data Compression for Efficient Generation of Control Pulses |
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