Quantum Algorithms Research Scientist

International Business Machines Corporation; Chicago (IL); On-site; USD 150,000 - 188,000; Full time

Job summary

IBM Research is seeking a research scientist to advance novel quantum algorithms across quantum simulation and machine learning. You will develop quantum algorithms for simulating physical systems, quantum models for data, and hybrid quantum-classical learning workflows.

You will also contribute to theory, benchmarking, and publications while collaborating with leading scientists and engineers in a collaborative, curiosity-driven environment.

Qualifications

• PhD in a relevant field with strong research record.
• Experience developing and/or analyzing quantum algorithms for simulation.
• Experience with quantum machine learning and/or hybrid quantum-classical learning workflows.
• Experience implementing research code, ML frameworks, and Qiskit.
• Experience running demonstrations on quantum processors.
• Strong publication record in high-impact journals or top conferences.
• Programming in Python and scientific libs (NumPy, SciPy, Matplotlib) and Qiskit.
• Experience with Git/GitHub and collaborative research.

Responsibilities

• Develop novel quantum algorithms that combine quantum and classical resources for simulating physical systems.
• Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science.
• Improve quantum machine learning methods for learning tasks on classical and quantum data.
• Develop hybrid workflows that merge measurement data from quantum experiments with classical ML.
• Develop learning theory results for QML and identify quantum/classical separations.
• Expand the quantum ecosystem through collaborations and working groups.

Skills

Quantum computing

Quantum algorithms

Machine learning

Python

Qiskit

Git

Tensor networks

DMRG

Publications

Collaboration

Education

Doctorate Degree

Tools

Qiskit

Job description

IBM Research is seeking a research scientist to advance novel quantum algorithms across quantum simulation and machine learning. You will develop quantum algorithms for simulating physical systems, quantum models for data, and hybrid quantum-classical learning workflows.

You will also contribute to theory, benchmarking, and publications while collaborating with leading scientists and engineers in a collaborative, curiosity-driven environment.