This opportunity is for an early career researcher to join a team advancing the study of quantum algorithms through the development and scaling of high-performance numerical methods. The research focuses on quantum computing, particularly the simulation and optimization of quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) applied to complex systems like the Sherrington-Kirkpatrick spin glass model. Projects include scaling up matrix product state (MPS) simulations on supercomputers and performing exact tensor network contractions to demonstrate beyond-classical applications of near-term quantum computers, such as certified randomness expansion and amplification.

The position is based at Universiti Malaysia Sabah and is announced by Muhammad Ismail, a Physics Professional and Founder of the British Online Academy, with a strong background in research, technical writing, and quantum computing education. The role is suitable for recent graduates (Senior Associate) or those with more than two years of post-PhD experience (Vice President), with a focus on computational physics, quantum information, and high-performance computing.

Applicants should have expertise in quantum computing, numerical methods, and computational physics, with experience in high-performance computing environments and familiarity with tensor networks and quantum algorithms. The research is closely linked to recent advances published in leading journals and preprints, including work on the efficiency of QAOA for the SK model and certified randomness using quantum processors.

While specific funding details are not provided, the position is a paid research scientist role. Interested candidates are encouraged to apply via the provided online job portals, ensuring their qualifications align with the requirements for each role. The research environment offers opportunities to contribute to cutting-edge projects at the intersection of physics, computer science, and mathematics, with access to world-class computational resources and collaborations.

For more information, review the linked publications and job descriptions, and contact the announcer via LinkedIn if needed.