- Location
- Los Angeles
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Research
- Seniority
- Senior
- Education
- PhD
- Source
- Lever
Description
About the team
The Quantum Computing Research team is dedicated to developing innovative methods to get the best possible performance from contemporary and next generation quantum computers. We push toward quantum advantage by developing cutting-edge applications, employing AI, control theory, and physics principles to optimize and automate critical parts of the quantum computing stack. We conduct pioneering research looking toward the near future, including quantum error correction and the integration of quantum computers with high performance computing and data centers.
About the role
We are seeking a Senior Research Scientist to focus on quantum compilation. You will work within a team of researchers dedicated to pushing the limits of quantum compilation. In particular, you will:
- Develop efficient and reliable methods and tools to get the best possible performance from real quantum computers.
- Stay informed about the latest advances in quantum computing and quantum control, and leverage this knowledge to implement and refine cutting-edge methodologies.
- Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
- Create code for optimizing quantum algorithms, applications, quantum error correction schemes.
- Collaborate with engineering teams to translate your ideas into production-quality software.
- Explain and present your work in clear and accessible language.
- Write articles for publication in peer-reviewed journals, attend and present your work at conferences, and collaborate with other industrial and academic research groups.
- Use open-source scientific computing packages like Qiskit, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods.
Skills
PythonRustJuliaMachine LearningPyTorchNumPyScikit-learn