Quantum Calibrations Intern, Quantum Computing Services

Job Title: Intern Quantum Calibrations Quantum Computing Services
Job Type: Full-time 3-6 months
Job Location: Boston MA
Reports to: VP of Quantum Computing Services

Summary:

QuEra is seeking motivated interns to join our growing team focused on developing the calibration and performance characterization framework for QuEras neutral-atom quantum computers. As an intern you will collaborate with physicists software engineers and hardware specialists to design benchmarking protocols build physics-informed models of device behavior and develop predictive tools for real-time qubit state evolution.

This internship offers a unique opportunity to gain hands-on experience at the interface of quantum hardware and data science contributing to the development of calibration and performance characterization frameworks for scalable reliable neutral-atom quantum computers.

This role is part of QuEras Quantum Computing Services team and is based at QuEras Boston headquarters. The teams mission is to develop QuEras neutral-atom technology into cutting-edge quantum computing products and services.

Core 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 (gate fidelity coherence readout error) using time-series calibration history and machine learning methods.
• Collaborate closely with physicists engineers and software developers to integrate your work into QuEras operational stack.

Qualifications

Required

• 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.

Preferred

• Familiarity with quantum gate characterization protocols (randomized benchmarking process tomography GST) and error budget decomposition.
• 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.
• Exposure to laboratory instrumentation data acquisition or experimental control systems.

Education & Experience

• Currently pursuing or recently completed a Masters 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. 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.