Lyapunov Controlled Counterdiabatic Quantum Optimization
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909319752056832 |
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| author | Chandarana, Pranav Paul, Koushik Swain, Kasturi Ranjan Chen, Xi del Campo, Adolfo |
| author_facet | Chandarana, Pranav Paul, Koushik Swain, Kasturi Ranjan Chen, Xi del Campo, Adolfo |
| contents | We introduce a quantum algorithm integrating counterdiabatic (CD) protocols with quantum Lyapunov control (QLC) to tackle combinatorial optimization problems. This approach offers versatility, allowing implementation as either a digital-analog or purely digital algorithm based on selected control strategies. By examining spin-glass Hamiltonians, we illustrate how the algorithm can explore alternative paths to enhance solution outcomes compared to conventional CD techniques. This method reduces the dependence on extensive higher-order CD terms and classical optimization techniques, rendering it more suitable for existing quantum computing platforms. The combination of digital compression via CD protocols and the adaptable nature of QLC methods positions this approach as a promising candidate for near-term quantum computing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_12525 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lyapunov Controlled Counterdiabatic Quantum Optimization Chandarana, Pranav Paul, Koushik Swain, Kasturi Ranjan Chen, Xi del Campo, Adolfo Quantum Physics Mesoscale and Nanoscale Physics We introduce a quantum algorithm integrating counterdiabatic (CD) protocols with quantum Lyapunov control (QLC) to tackle combinatorial optimization problems. This approach offers versatility, allowing implementation as either a digital-analog or purely digital algorithm based on selected control strategies. By examining spin-glass Hamiltonians, we illustrate how the algorithm can explore alternative paths to enhance solution outcomes compared to conventional CD techniques. This method reduces the dependence on extensive higher-order CD terms and classical optimization techniques, rendering it more suitable for existing quantum computing platforms. The combination of digital compression via CD protocols and the adaptable nature of QLC methods positions this approach as a promising candidate for near-term quantum computing. |
| title | Lyapunov Controlled Counterdiabatic Quantum Optimization |
| topic | Quantum Physics Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2409.12525 |