We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance engineering. The work involves simulations for quantum error correction and mid-circuit operations, and will require both low-level optimization skills (e.g., SIMD, GPU, FPGA) and an understanding of quantum simulation trade-offs. The role supports integration with a 25-qubit chip and involves close collaboration with physicists and engineers to push the boundaries of scalable, high-fidelity quantum simulations.
Information about the project
This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc.
Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software engineers, and researchers in materials science and nanotechnology. We are developing the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a reality.
The person taking this position will be working with the team at the computer science and engineering department mostly on the performance engineering and hardware-aware code optimizations to achieve scalability in terms of the simulator systems. The work will be done in close collaboration with the physics team to be able to develop optimizations also at the algorithmic level in a co-design way. Due to the interdisciplinary nature of the work, we are looking for a person with a background in performance engineering and high-performance computing hardware (high-performance CPUs and GPUs) as well modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD in physics (quantum computing related topic) with knowledge in HPC systems and performance engineering.