Research Scientist – Quantum Algorithms for Differential Equations
IBM · Dublin, Ireland · Research
About this role
IBM is hiring a mid-level Research Scientist in the machine learning function based in Dublin, Ireland. The posting calls out experience with Python, Git, Data Structures.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Dublin, Ireland
- Department
- Research
More roles at IBM
Job description
from IBM careersIntroduction
At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.
Your role and responsibilities
IBM Research is seeking a Research Scientist with a strong background in Quantum Information and Quantum Algorithms to design and analyze algorithms for solving classical differential equations on quantum computers. The role focuses on:
- Embedding nonlinear dynamics into linear—potentially infinite-dimensional—systems (e.g., Koopman/Carleman lifts, semigroup formalisms), and
- Encoding linear dynamics as efficient quantum circuits for time evolution (e.g., block-encodings, qubitization, LCU, QSP/SVT).
You will translate problem formulations (ODEs/PDEs, operator semigroups, discretizations) into query-model statements, define oracle and state-preparation assumptions, and design fault-tolerant-compatible circuits with end-to-end resource estimates. You’ll benchmark quantum pipelines against classical baselines under matched accuracy and data-loading assumptions.