Quantum Systems Performance Intern - Research

IBM Computing; Town of Yorktown (NY); On-site; USD 34,000 - 48,000; Full time

Job summary

IBM Research is offering a research internship focused on quantum system performance. You will work with IBM researchers to develop methods for understanding, improving, and demonstrating quantum computing capabilities. The internship emphasizes collaboration across theory, software, and hardware teams to drive meaningful demonstrations.

Ideal candidates are graduate students in physics, CS, or engineering with experience in quantum computing, linear algebra, and Python scientific computing.

Qualifications

• Enrollment in an academic graduate program (Ph.D. or research-focused Master’s) in Physics, CS, Math, Engineering, or related field.
• Coursework or research in quantum computing, quantum information science, quantum mechanics, linear algebra.
• Demonstrated experience with independent research and quantitative analysis.
• Experience with scientific computing and Python for data analysis.

Responsibilities

• Explore research questions related to quantum system performance, working with mentor to develop investigations.
• Design and execute experiments on quantum processors to characterize performance and demonstrate capabilities.
• Develop quantitative methods for assessing performance, including benchmarking and error analysis.
• Explore error mitigation and dynamic circuits to extend computations on quantum hardware.
• Communicate findings and develop workflows for colleagues to apply techniques.

Skills

Python

Qiskit

NumPy

SciPy

Matplotlib

Quantum computing

Education

PhD candidate

Tools

Python

Qiskit

Job description

IBM Research is offering a research internship focused on quantum system performance. You will work with IBM researchers to develop methods for understanding, improving, and demonstrating quantum computing capabilities. The internship emphasizes collaboration across theory, software, and hardware teams to drive meaningful demonstrations.

Ideal candidates are graduate students in physics, CS, or engineering with experience in quantum computing, linear algebra, and Python scientific computing.