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arXiv:2608.29399

FIREQ: FPGA Instrumentation for Readout and Qubit control

Giuseppe La Capra, Fabio Calabrese, Giorgio D'Amico, Christian Conti, Andrea De Simone, Deborah Volpe, Roldolfo Carobene, Claudio Gatti, Andrea Giachero, Fabrizio Riente

quant-pheess.SYSubmitted Aug 29, 2026• Announced Sep 1, 2026• 0 citations
v1 · Aug 29, 2026v2 · Sep 1, 2026
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Abstract

We present FIREQ (FPGA Instrumentation for Readout and Qubit control), an open-source RFSoC-based framework for the control and readout of superconducting qubits. FIREQ combines a modular AXI-compliant firmware architecture with a PYNQ-based software stack designed to support extensible hardware integration, deterministic experiment timing, and low-overhead execution of repeated calibration and characterization workflows. The firmware implements direct RF synthesis and acquisition, trigger-based sequencing, programmable pulse generation, frequency-multiplexed readout, and memory-efficient acquisition and waveform buffering. The software adopts a client-server architecture with streamed data transfer and dependency-aware configuration updates to reduce host-device and reconfiguration overhead during parameter sweeps. On an AMD Zynq UltraScale+ RFSoC ZCU216, FIREQ generates RF pulses up to 9.3 GHz with a pulse-duration resolution of 107 ps and an event-timing resolution of 1.7 ns. FPGA resource utilization is compared with representative open-source RFSoC control frameworks, showing a low BRAM footprint while retaining full-rate I/Q generation and acquisition. The RF output is characterized in terms of phase noise, noise spectral density, and inter-channel timing skew. End-to-end operation is validated on a superconducting qubit through resonator spectroscopy, Rabi, Ramsey, and relaxation measurements, yielding T1 = 6.94 us and T2* = 13.50 us. FIREQ can therefore be used both as a qubit-control platform and as an experimental environment for evaluating alternative control and readout IP architectures.

Comments
15 pages, 9 figures

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A scalable control architecture for superconducting quantum processors is essential as the number of qubits increases and coherent multi-qubit operations span beyond the capacity of a single control module. The Quantum Instrumentation Control Kit (QICK), built on AMD RFSoC platforms, offers a flexible open-source framework for pulse-level qubit control but lacks native support for multi-board synchronization, limiting its applicability to mid- and large-scale quantum devices. To overcome this limitation, we introduce Manarat, a scalable multi-board control platform based on QICK that incorporates hardware, firmware, and software enhancements to enable sub-100 ps timing alignment across multiple AMD ZCU216 RFSoC boards. Our system integrates a low-jitter clock distribution network, modifications to the tProcessor, and a synchronization scheme to ensure deterministic alignment of program execution across boards. It also includes a custom analog front-end for flux control that combines high-speed RF signals with software-programmable DC biasing voltages generated by a low-noise, high-precision DAC. These capabilities are complemented by a software stack capable of orchestrating synchronized multi-board experiments and fully integrated with the open-source Qibo framework for quantum device calibration and algorithm execution. We validate Manarat on a 10-qubit superconducting processor controlled by two RFSoC boards, demonstrating reliable execution of synchronized control sequences for cross-board CZ gate calibration. These results confirm that sub-nanosecond synchronization and coherent control are achievable across multiple RFSoC boards, enabling scalable operation of superconducting quantum computers.
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<!--HTML-->The control of superconducting qubits, central to quantum computing, demands precise manipulation of fast microwave pulses. FPGAs offer ideal versatility for this task. However, due to FPGA complexity, institutions often opt for costly, pre-made solutions, limiting customization. We therefore presented Qibosoq, an open-source software package designed for radio frequency system on chip (RFSoC) platforms. Qibosoq bridges the RFSoC firmware provided by QICK, a Quantum Instrumentation Control Kit, with Qibo, an open-source quantum computing framework. By using RFSoC boards, it is possible to significantly lower the cost of a qubit-control hardware, while also maintaining high development flexibility. We present the Qibosoq software package, as well as the result of testing it with multiple qubits both as a characterization platform and as an algorithm executor, where we demonstrated the capability of the RFSoC board to accurately perform Quantum Machine Learning applications.