Research Scientist

About This Role

This research scientist role at IBM Research focuses on advancing novel quantum algorithms for quantum simulation and machine learning. The position involves developing quantum algorithms for simulating physical systems, creating quantum models for classical and quantum data, and building hybrid quantum-classical learning workflows. It suits a scientist with a background in quantum computing, machine learning, or related fields, who is eager to contribute to breakthroughs in computing technologies.

Responsibilities

• 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

Requirements

• Experience in academic graduate program related to applicable fields (e.g., quantum computing, quantum algorithms, machine learning, computer science, statistics, information theory)
• Experience developing and/or analyzing quantum algorithms for simulation (ground states, thermal states, dynamics, or related)
• 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

Nice to have:

• Strong publication record in high-impact journals or top conference proceedings
• Programming experience in core & scientific language (e.g. python, numpy, scipy, matplotlib) and Qiskit
• Experience with tensor-network methods for many-body systems (e.g., MPS/MPO), including DMRG, and with iterative ground-state solvers for extremal eigenpairs (e.g., Lanczos, Davidson)
• Familiarity with Git and/or Github
• Successful record of collaborative work
• Experience leading research projects in industry or academically

About the Company

IBM Research is the innovation engine of IBM, exploring future computing technologies and shaping tomorrow's advancements. The team accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud, collaborating with leading scientists and engineers to turn ideas into reality.