QuEra Computing
Quantum Calibrations Intern, Quantum Computing Services
Boston, MA, USA · Intern · Internship
Sponsorship not specifiedDetected 23 days ago
PythonMachine LearningPandasNumPyData AnalysisData ScienceA/B TestingElectrical EngineeringCommunicationProblem Solving
About the role
- Education & Experience - 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.
- QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer.
Requirements
- Required
- Preferred
- Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods.
- Experience applying machine learning (Gaussian processes, time-series models, or neural networks) to physical or experimental data.
- Education & Experience
- QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Nice to have
- 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, including familiarity with libraries such as NumPy, SciPy, Pandas, and Matplotlib.
- Enjoys hands-on experimentation, iteration, and uncovering structure in data.
- Strong analytical, problem-solving, and communication skills.
- Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST) and error budget decomposition.
- Exposure to laboratory instrumentation, data acquisition, or experimental control systems.
- 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.
Benefits
- Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data.
- Develop predictive models for key performance metrics (gate fidelity, coherence, readout error) using time-series calibration history and machine learning methods.
Company info
- This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters.
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