Hardware-Efficient Randomized Compiling
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914842301956096 |
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| author | Fruitwala, Neelay Hashim, Akel Rajagopala, Abhi D. Xu, Yilun Hines, Jordan Naik, Ravi K. Siddiqi, Irfan Klymko, Katherine Huang, Gang Nowrouzi, Kasra |
| author_facet | Fruitwala, Neelay Hashim, Akel Rajagopala, Abhi D. Xu, Yilun Hines, Jordan Naik, Ravi K. Siddiqi, Irfan Klymko, Katherine Huang, Gang Nowrouzi, Kasra |
| contents | Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead -- namely, it scales linearly in the number of desired randomizations, each of which must be generated and measured independently. In this work, we introduce a hardware-efficient algorithm for performing RC on a cycle-by-cycle basis on the lowest level of our FPGA-based control hardware during the execution of a circuit. Importantly, this algorithm performs a different randomization per shot with zero runtime overhead beyond measuring a circuit without RC. We implement our algorithm using the QubiC control hardware, where we demonstrate significant reduction in the overall runtime of circuits implemented with RC, as well as a significantly lower variance in measured observables. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13967 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hardware-Efficient Randomized Compiling Fruitwala, Neelay Hashim, Akel Rajagopala, Abhi D. Xu, Yilun Hines, Jordan Naik, Ravi K. Siddiqi, Irfan Klymko, Katherine Huang, Gang Nowrouzi, Kasra Quantum Physics Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead -- namely, it scales linearly in the number of desired randomizations, each of which must be generated and measured independently. In this work, we introduce a hardware-efficient algorithm for performing RC on a cycle-by-cycle basis on the lowest level of our FPGA-based control hardware during the execution of a circuit. Importantly, this algorithm performs a different randomization per shot with zero runtime overhead beyond measuring a circuit without RC. We implement our algorithm using the QubiC control hardware, where we demonstrate significant reduction in the overall runtime of circuits implemented with RC, as well as a significantly lower variance in measured observables. |
| title | Hardware-Efficient Randomized Compiling |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2406.13967 |