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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.15698 |
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| _version_ | 1866916875459362816 |
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| author | Cho, Gyungmin Kim, Dohun |
| author_facet | Cho, Gyungmin Kim, Dohun |
| contents | Quantum hardware is advancing rapidly across various platforms, yet implementing large-scale quantum error correction (QEC) remains challenging. As hardware continues to improve, there is a growing need to identify potential applications on noisy quantum devices that can leverage these enhancements. With this motivation, we explore the advantages of shallow measurements over (non-entangling) single-qubit measurements for learning various properties of a quantum state. While previous studies have examined this subject, they have primarily focused on specific problems. Here, by developing a new theoretical framework, we demonstrate how shallow measurements can benefit in diverse scenarios. Despite the additional errors from two-qubit gates in shallow measurements, we experimentally validated improvements compared to single-qubit measurements in applications like derandomization, common randomized measurements, and machine learning up to 40 qubits and 46 layers of two-qubit gates, respectively. As a result, we show that hardware improvements, even before QEC, could broaden the range of feasible applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15698 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Entanglement-enhanced randomized measurement in noisy quantum devices Cho, Gyungmin Kim, Dohun Quantum Physics Quantum hardware is advancing rapidly across various platforms, yet implementing large-scale quantum error correction (QEC) remains challenging. As hardware continues to improve, there is a growing need to identify potential applications on noisy quantum devices that can leverage these enhancements. With this motivation, we explore the advantages of shallow measurements over (non-entangling) single-qubit measurements for learning various properties of a quantum state. While previous studies have examined this subject, they have primarily focused on specific problems. Here, by developing a new theoretical framework, we demonstrate how shallow measurements can benefit in diverse scenarios. Despite the additional errors from two-qubit gates in shallow measurements, we experimentally validated improvements compared to single-qubit measurements in applications like derandomization, common randomized measurements, and machine learning up to 40 qubits and 46 layers of two-qubit gates, respectively. As a result, we show that hardware improvements, even before QEC, could broaden the range of feasible applications. |
| title | Entanglement-enhanced randomized measurement in noisy quantum devices |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2504.15698 |