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Quantum Algorithms Researcher
Not specifiedFull-timeAlgorithm ResearchQuantum Computing
Research and develop quantum solutions to practical problems, connecting quantum information theory with application-driven algorithms and hardware-aware implementation. Work with experimental, theoretical, compiler, control, and hardware teams.
Responsibilities
- Research quantum algorithms for practical problems where quantum computing may offer an advantage.
- Design end-to-end algorithmic solutions, including mathematical formulations, quantum subroutines, circuits, and resource estimates.
- Benchmark algorithm costs and feasibility using qubit counts, circuit depth, gate complexity, runtime, sampling needs, and error sensitivity.
- Simulate, evaluate, and optimize solutions for the quantum hardware backend and compiler stack.
- Identify algorithms and applications suited to hardware capabilities and roadmap, including demonstrations and client-driven use cases.
- Contribute reusable components to an internal synthesis and algorithm library.
- Collaborate with compiler, control, and hardware teams to align algorithm designs with execution constraints.
Requirements
- PhD in physics, mathematics, computer science, or a related field, with an emphasis on quantum information or computing.
- Strong knowledge of quantum information theory, quantum algorithms, and quantum circuit design.
- Research-level problem-solving skills, including structuring open-ended problems.
- Programming skills for simulation, prototyping, and evaluation; Python and scientific computing tools are preferred.
- Ability to independently investigate unfamiliar domains and develop expertise in emerging areas.
- Strong written and verbal communication skills.
Nice to have
- Research experience in quantum algorithms or applications.
- Experience in quantum chemistry, quantum machine learning, optimization, materials science, nonlinear PDEs, or related computational sciences.
- Knowledge of advanced classical algorithms and mathematical problem formulation.