Quantum Performance and Demonstrations - Intern 2027 is a research internship within IBM Research focused on developing methods to understand, improve, and demonstrate quantum computing system capabilities. Working alongside researchers, you will explore research questions regarding performance, design experiments on quantum processors, and develop quantitative methods for characterization, benchmarking, and error analysis. The role involves investigating techniques such as error mitigation, suppression, dynamic circuits, and error correction to extend the quality of computations on hardware. You will collaborate across theory, software, and hardware teams to connect system-level advances to meaningful demonstrations. Required skills include a background in physics, computer science, or mathematics, proficiency in Python and scientific libraries like NumPy, SciPy, and Matplotlib, and experience with the Qiskit framework. The work addresses the technical challenge of pushing the limits of current and emerging quantum processors.
Identify and develop research questions regarding quantum system performance and capabilities.
Design and execute experiments on quantum processors to characterize system performance.
Develop quantitative methods for benchmarking, error analysis, and comparing results with theoretical predictions.
Evaluate techniques such as error mitigation, suppression, and dynamic circuits to improve computation quality.
Connect system-level advancements to scientifically meaningful quantum computing demonstrations.
Document findings and create workflows to help colleagues apply these techniques in their experiments.
What we're looking for
Master's Degree (preferred).
Enrollment in an academic graduate program in Physics, Computer Science, Mathematics, Engineering, or a related field focused on quantum computing.
Coursework or research experience in quantum computing, quantum information science, quantum mechanics, or linear algebra.
Demonstrated experience performing independent research through projects, a thesis, internships, or prior publications.
Experience with scientific computing and at least one general-purpose programming language like Python to analyze data and draw quantitative conclusions.
Publications or preprints in quantum computing, characterization, error mitigation, or other related fields (preferred).
Experience with quantum hardware, core scientific Python libraries, Qiskit, or AI tooling for research (preferred).
Quantum Computing
Qiskit
Salesforce
Excel
Microsoft PowerPoint
Word
Business Analytics
Market Research
Competitive Analysis
Hybrid Cloud
High Performance Computing