Job Description

JOB DESCRIPTION We are looking for research scientists to join a team looking into optimisation and acceleration of quantum circuit simulation using advanced classical computing techniques, such as G JOB DESCRIPTION We are looking for research scientists to join a team looking into optimisation and acceleration of quantum circuit simulation using advanced classical computing techniques, such as GPUs and supercomputing. Successful candidates will have the opportunities to work on some or all of the following tasks: GPU-based and multi-GPU acceleration of quantum simulation Supercomputing-based, multi-node acceleration of quantum simulation R&D of tensor network backend for quantum computing Multi-architecture parallelisation of the tensor network backend Benchmarking of quantum computing on various backends against classical computing Paper writing, documentation and report writing JOB REQUIREMENT PhD in Computer Science/Computer Engineering or related fields Experience or know-how in quantum computing, quantum simulation (e.g. Qibo, Nvidia cuQuantum) and/or tensor network Good programming skills in languages such as Python, C/C++, CUDA, CuPy, etc. Experience or relevant R&D skills in middleware, toolchain and compilation Experience or relevant R&D skills in deep learning frameworks such as TensorFlow or PyTorch Experience with Git, GitHub or GitLab version control systems Strong interests and self-motivation in studying advanced computing techniques, such as quantum computing and supercomputing Good analytical and problem solving skills and a good team player