Quantum Calibrations Intern

Responsibilities

• Develop and test data analysis routines to fit, visualize, and interpret experimental data
• Design and execute device benchmarking and characterization experiments
• Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data
• Develop predictive models for key performance metrics using time-series calibration history and machine learning methods
• Collaborate with physicists, engineers, and software developers to integrate work into the operational stack

Requirements

• Foundational understanding of quantum mechanics and open quantum systems at the graduate level
• Experience designing and analyzing experiments involving quantum or physical systems
• Strong programming skills in Python (NumPy, SciPy, Pandas, Matplotlib)
• Currently pursuing or recently completed a Master's or PhD in Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field

Preferred Qualifications

• Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST)
• Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods
• Experience applying machine learning to physical or experimental data
• Exposure to laboratory instrumentation, data acquisition, or experimental control systems

About the Company

QuEra is developing neutral-atom technology into cutting-edge quantum computing products and services, focusing on scalable and reliable quantum computing solutions.