RISC-Q: A Generator for Real-Time Quantum Control System-on-Chips Compatible with RISC-V
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908372894220288 |
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| author | Liu, Junyi Lee, Yi Deng, Haowei Clayton, Connor Yang, Gengzhi Wu, Xiaodi |
| author_facet | Liu, Junyi Lee, Yi Deng, Haowei Clayton, Connor Yang, Gengzhi Wu, Xiaodi |
| contents | Quantum computing imposes stringent requirements for the precise control of large-scale qubit systems, including, for example, microsecond-latency feedback and nanosecond-precision timing of gigahertz signals -- demands that far exceed the capabilities of conventional real-time systems. The rapidly evolving and highly diverse nature of quantum control necessitates the development of specialized hardware accelerators. While a few custom real-time systems have been developed to meet the tight timing constraints of specific quantum platforms, they face major challenges in scaling and adapting to increasingly complex control demands -- largely due to fragmented toolchains and limited support for design automation.
To address these limitations, we present RISC-Q -- an open-source flexible generator for Quantum Control System-on-Chip (QCSoC) designs, featuring a programming interface compatible with the RISC-V ecosystem. Developed using SpinalHDL, RISC-Q enables efficient automation of highly parameterized and modular QCSoC architectures, supporting agile and iterative development to meet the evolving demands of quantum control. We demonstrate that RISC-Q can replicate the performance of existing QCSoCs with significantly reduced development effort, facilitating efficient exploration of the hardware-software co-design space for rapid prototyping and customization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_14902 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RISC-Q: A Generator for Real-Time Quantum Control System-on-Chips Compatible with RISC-V Liu, Junyi Lee, Yi Deng, Haowei Clayton, Connor Yang, Gengzhi Wu, Xiaodi Hardware Architecture Quantum Physics Quantum computing imposes stringent requirements for the precise control of large-scale qubit systems, including, for example, microsecond-latency feedback and nanosecond-precision timing of gigahertz signals -- demands that far exceed the capabilities of conventional real-time systems. The rapidly evolving and highly diverse nature of quantum control necessitates the development of specialized hardware accelerators. While a few custom real-time systems have been developed to meet the tight timing constraints of specific quantum platforms, they face major challenges in scaling and adapting to increasingly complex control demands -- largely due to fragmented toolchains and limited support for design automation. To address these limitations, we present RISC-Q -- an open-source flexible generator for Quantum Control System-on-Chip (QCSoC) designs, featuring a programming interface compatible with the RISC-V ecosystem. Developed using SpinalHDL, RISC-Q enables efficient automation of highly parameterized and modular QCSoC architectures, supporting agile and iterative development to meet the evolving demands of quantum control. We demonstrate that RISC-Q can replicate the performance of existing QCSoCs with significantly reduced development effort, facilitating efficient exploration of the hardware-software co-design space for rapid prototyping and customization. |
| title | RISC-Q: A Generator for Real-Time Quantum Control System-on-Chips Compatible with RISC-V |
| topic | Hardware Architecture Quantum Physics |
| url | https://arxiv.org/abs/2505.14902 |