Develop error models based on experimental data and analyze the impact of control errors on logical qubit performance. Guide calibration priorities to align with long-term fault-tolerant goals and support the overall roadmap.
Model many-body and open quantum system dynamics to understand multi-qubit behavior and noise as systems scale. Develop reduced models for AI calibration systems and collaborate with experimental teams to identify scaling bottlenecks.
Design and optimize microwave pulse sequences and calibration techniques for superconducting qubits. Collaborate with FPGA engineers and AI researchers to implement real-time control and closed-loop calibration solutions.
Define the architecture of next-generation superconducting quantum processors by balancing performance, scalability, and manufacturability. Design qubit and processor-level architectures while guiding hardware roadmap decisions in collaboration with fabrication and control teams.
Design and simulate superconducting qubits, resonators, and couplers for quantum processors. Optimize designs for coherence and tunability while collaborating with fabrication and measurement teams.
The role focuses on measuring, diagnosing, and improving quantum processor performance through benchmarking and calibration. Responsibilities include characterizing noise and crosstalk while building visualization tools for system health.
Design and optimize chip packaging and cryogenic integration solutions for superconducting quantum processors. Focus on improving thermalization, signal integrity, and reducing crosstalk to scale quantum hardware.
