Quantum Device Researcher

Role Overview: You will be an integral part of an innovative technology scale-up company at the forefront of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. Your primary responsibility will involve modeling coupled superconducting-qubit systems, developing Hamiltonian-level descriptions, and conducting extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will refine qubit-control schemes to enhance architecture and efficiency. Additionally, you will create simulation workflows and computational tools to forecast coherence times, gate fidelities, and other essential device metrics. Emphasizing a culture of robust peer review, knowledge exchange, and interdisciplinary cooperation will be a key aspect of your role within the quantum-hardware program. Key Responsibilities: - Model coupled superconducting-qubit systems and develop Hamiltonian-level descriptions - Conduct extensive numerical simulations to assess error-correction performance - Collaborate with processor-design engineers to refine qubit-control schemes - Create simulation workflows and computational tools to forecast coherence times, gate fidelities, and other essential device metrics - Design experimental protocols for quantum-state and process tomography - Contribute to peer-reviewed publications, technical reports, and design-of-experiments decisions Qualifications Required: - Postgraduate degree (MSc/M.Tech/PhD) in Physics, Electrical Engineering, or a related field - Solid foundation in quantum mechanics - Proficiency in Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes - Experience in numerical methods, computational modeling of quantum circuits - Proficiency in Python-based quantum platforms such as QuTiP, Qiskit, or Cirq - Track record of designing protocols for measuring coherence times, gate fidelities, and tomography - Strong problem-solving abilities, effective communication skills, and a history of peer-reviewed publications in quantum technology Additional Details: Familiarity with bosonic codes, autonomous error-correction techniques, and advanced value-engineering methods will be advantageous. Experience in crafting analytical reports to influence design-of-experiments strategies and experimentation roadmaps will be beneficial. Prior exposure to GPU-accelerated simulators, distributed-computing pipelines for large-scale quantum modeling, open-source quantum software libraries, or standards bodies will be considered favorable. Knowledge of hybrid AI-quantum workflows or domain-specific optimization in areas such as life sciences, finance, or materials will further enhance your profile for this position. Your expertise in qubit-control schemes, semiconductor technology, quantum-state and process tomography, artificial intelligence, computational modeling of quantum circuits, Hamiltonian engineering, and other specified skills will be pivotal in driving the success of the quantum-hardware program.,