Research Scientist

IBM Research is seeking a research scientist to advance novel quantum algorithms across quantum simulation and machine learning. The role focuses on developing quantum algorithms for simulating physical systems, quantum models for classical and quantum data, hybrid quantum-classical learning workflows, and theory and benchmarking of quantum vs classical learning models.

• Develop novel quantum algorithms that combine quantum and classical resources for simulation of physical systems, including ground states, thermal states, time evolution, and open-system models.
• Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science.
• Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data.
• Develop hybrid workflows that combine measurement data from quantum experiments with classical ML to predict properties of quantum systems.
• Develop learning theory results for QML, including generalization and complexity bounds, and identify settings showing separation between quantum and classical approaches.
• Expand the quantum ecosystem and connect to ML and quantum communities through working groups and collaborations.