IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology to unlock a new era of computing and redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. The Quantum Applications Scientist – Energy Use Cases will help create hybrid quantum applications for the energy sector using IonQ's quantum computers.
Requirements
- Doctorate degree in Physics, Mathematics, Computer Science or other STEM domain, or equivalent work experience
- 3+ years of professional experience or an equivalent combination of education and experience
- Hands-on expertise developing quantum algorithms that have the potential to transform the energy sector e.g. unit commitment, contingency planning, network optimization, materials modeling (solar, battery, superconducting), HHL, etc.
- Track record of peer-reviewed manuscripts, invited talks, repos, licenses, publications, and/or patents in quantum algorithms
- Expertise in key mathematical techniques used in quantum computing (linear algebra, matrix decompositions, probability theory, symmetry, computational complexity)
- Demonstrated expertise in Python and Qiskit or similar quantum SDK
- Experience using C++
Responsibilities
- Develop novel hybrid quantum algorithms, applications and end-to-end workflows that will make a technical, commercial and societal impact, with a focus on the energy sector
- Contribute knowledge of state-of-the-art classical and quantum algorithms to evaluate and communicate pros and cons, scaling behavior, trade-offs, cross-over points, etc.
- Work directly with customers and partners in the Chattanooga and greater Tennessee quantum ecosystem to define and solve problems of real-world interest using IonQ trapped-ion quantum computers
- Take an active role in building the tools, processes, culture and community for the new IonQ site in Chattanooga, Tennessee
- Explain key mathematical techniques used in quantum computing (linear algebra, matrix decompositions, probability theory, symmetry, computational complexity) to broad audiences
- Demonstrate expertise in Python and Qiskit or similar quantum SDK
- Optimize hybrid codes across CPU, GPU and QPU (classical pre/post processing and variational methods) such as VQE, QAOA, varQITE, quantum annealing, quantum diffusion models, etc.
Other
- Doctorate degree in Physics, Mathematics, Computer Science or other STEM domain, or equivalent work experience
- 3+ years of professional experience or an equivalent combination of education and experience
- Experience being part of a team that identifies, defines, and solves problems of real-world interest. Good team player with excellent communication skills.
- 10% domestic and international travel, with a focus on visiting customers and clients
- Must be a U.S. Person (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) for export controls and government contracts work
