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A leading technology university is seeking a postdoc to co-design algorithms for quantum circuits, aiming to enhance the fidelity of quantum simulations. This role involves optimization techniques and collaboration with experts in quantum computing and engineering, focusing on developing scalable simulation methods for hardware integration.
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.
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.