Research Intern: Linear Algebra and Hamiltonian Simulation

Introduction

The candidate will conduct research in quantum simulation, developing computational approaches for studying complex quantum systems. The work will combine quantum computing, numerical methods, and scientific computing in a collaborative research environment.

The candidate will conduct research in quantum simulation, developing computational approaches for studying complex quantum systems. The work will combine quantum computing, numerical methods, and scientific computing in a collaborative research environment.

As an intern, you will develop, implement, and evaluate computational methods for quantum simulation. Benchmark algorithm performance, accuracy, resource requirements, and scalability. Apply these methods to problems such as ground- and excited-state calculations, time evolution, and thermal-state preparation. Collaborate with researchers across relevant scientific disciplines and communicate results through publications, presentations, and technical reports.

Doctorate Degree

• Strong foundation in quantum computing and quantum algorithms.
• Proficiency in Python or a comparable scientific programming language.
• Knowledge of linear algebra and numerical methods.
• Ability to implement computational methods, analyze results, and communicate technical findings clearly.

• Research experience in quantum simulation or related areas.
• Experience with Hamiltonian simulation, many-body methods, quantum chemistry, electronic structure, or condensed-matter physics.
• Familiarity with quantum software frameworks such as Qiskit, Cirq, Penny Lane, or similar tools.
• Experience with scientific computing or high-performance computing environments is desirable.