Position: Quantum Python Developer (Tensor Networks / HPC / Simulation) Location: Remote Type: Full-Time Compensation: $5,000 We are developing advanced quantum simulation workflows designed to push the boundaries of large-scale computation. Our core focus lies in tensor network methodologies, including MPS, PEPS, and contraction path optimization. Responsibilities: - Develop and optimize tensor network simulations in Python using frameworks such as NumPy, PyTorch, and JAX. - Implement and refine contraction strategies for quantum circuit evaluation. - Utilize HPC and GPU acceleration to achieve high-performance, memory-efficient simulations. - Apply concepts of Hilbert space, entanglement, and circuit treewidth to optimize computational scaling. - Contribute to the design of algorithms that transform complex contraction problems into scalable solutions. Performance Targets: - Generate and optimize 38–40 qubit contraction workflows. - Achieve the following performance metrics: = 38-qubit and 40-qubit contractions: ≥ 4,000 it/s = 39-qubit contractions: ≥ 40,000 it/s