Quantum Algorithms Research Scientist

International Business Machines Corporation; Chicago (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

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.

Responsibilities include creating algorithms for ground states, thermal states, time evolution, and open-system models;

Qualifications

• Advanced degree in a relevant field with strong publication record.
• Experience developing and/or analyzing quantum algorithms for simulation or learning.
• Experience with quantum machine learning and hybrid quantum-classical workflows.
• Experience implementing research code and ML frameworks, esp. Qiskit.
• Demonstrated ability to run demonstrations on quantum processors.

Responsibilities

• Develop novel quantum algorithms combining 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 quantum measurement data with classical ML to predict properties.
• Advance learning theory results for QML and identify settings showing separation between quantum and classical approaches.
• Expand the quantum ecosystem and collaborate with ML and quantum communities.

Skills

Quantum programming

Machine learning

Qiskit

Python

Research collaboration

Education

Graduate degree in quantum computing / CS / statistics

Tools

Qiskit

Python

GitHub

Job description

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.

Responsibilities include creating algorithms for ground states, thermal states, time evolution, and open-system models;