Quantum computing systems rely on extremely precise, low-latency control and readout of qubits operating at cryogenic temperatures. The Quantum Control Unit (QCU) acts as the real-time interface between classical host systems running quantum algorithms and the cryostat housing the qubits.
This concept case study demonstrates how an iWave System on Module (SoM) powered by Zynq UltraScale+ RFSoC FPGA enables a scalable, low-latency, and software-defined Quantum Control Unit capable of driving, synchronizing, and reading out multiple qubits with high fidelity.
In a typical quantum computing setup, the RFSoC-based control platform sits between the host control system and the cryostat:
Host Control System: Researchers use a quantum software framework or quantum kit on a host PC to define quantum algorithms and pulse sequences using high-level languages such as Python.
RFSoC-Based Quantum Control Unit: The generated control data is transferred to the RFSoC platform, where real-time waveform generation, sequencing, synchronization, and readout processing are executed.
Cryostat & Qubits: The RF signals generated by the RFSoC drive the qubits inside the cryostat, while the reflected or emitted signals are captured and analyzed to determine qubit states.
Master Sequencer
The master sequencer executes time-critical control logic derived from host-side Python code. It ensures deterministic timing across multiple channels, enabling synchronized pulse generation, qubit addressing, and experiment repeatability.
Pulse Generation & Control
Using the integrated RF DACs, the RFSoC generates precisely shaped microwave pulses required for qubit manipulation. Pulse parameters such as amplitude, phase, frequency, and duration are controlled in real time, enabling single-qubit and multi-qubit gate operations.
Readout Signal Processing
Signals returned from the qubits are digitized using the RF ADCs and processed through FPGA-based DSP pipelines. This includes filtering, demodulation, and integration to extract qubit state information with minimal latency.
ARM-Based Control & Validation
The embedded ARM processors handle experiment coordination, parameter updates, and validation of qubit states. This allows tight coupling between real-time hardware control and higher-level software orchestration.
The iWave RFSoC SoM integrates critical high-speed and mixed-signal components into a compact, validated platform:
By using a System on Module approach, system architects can focus on quantum algorithms and experiment design rather than complex RF and FPGA bring-up.
The iWave Zynq UltraScale+ RFSoC System on Modules provides a powerful and flexible foundation for next-generation Quantum Control Units. By combining high-speed RF converters, FPGA-based real-time processing, and embedded software control in a single platform, RFSoC enables researchers and system designers to accelerate quantum experimentation while maintaining precision, scalability, and deterministic performance.
For detailed information, please reach us at mktg@iwave-global.com
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