Quick overview
Job description
About the role
At Q-CTRL, we’re pioneering the future of quantum technology. In this role, you will join a collaborative team of quantum scientists and software engineers to advance the control and calibration of superconducting quantum hardware. Your primary focus will be on runtime calibration methods for optimizing two-qubit gates, enabling the high-fidelity execution of quantum algorithms and quantum error correction at scale. You will push calibration execution closer to the hardware, leveraging FPGA compute and low-latency communication with the compute host. Partnering closely with cross-functional research, product, and engineering teams, you will apply your insights to complex quantum computing challenges and translate your ideas into robust software tools.
This position offers a unique opportunity to work at the forefront of quantum technology, driving innovation and delivering impactful solutions.
What you'll be doing:
- Design and test novel calibration techniques for two-qubit gates across different hardware architectures.
- Develop scalable protocols for processor optimization (e.g. cross-talk mitigation, leakage reduction, defect mitigation).
- Conduct research in runtime control strategies leveraging low-latency compute.
- Collaborate with engineering and product teams to translate ideas and research outcomes into production-level software.
- Explain, document and present research solutions in accessible language.
Ideally you'll have:
- An advanced degree in Physics, Engineering, or a closely related discipline. A PhD is preferred, but we also consider exceptional candidates with previous industry experience.
- 3+ years of experience conducting research in a relevant field.
- Deep understanding of superconducting qubit physics and RF engineering.
- Expertise in calibrating two-qubit gates for transmon architectures (e.g. tunable couplers, parametric, cross-resonance)
- Experience with the calibration control stack, signal chain, FPGAs.
- A good grasp of software development best practices, and experience in developing software modules for qubit measurement and control (Python, C++, or Rust).
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