Sr. Quantum Applied Scientist, Device and Architecture Theory, AWS Center for Quantum Computing
About the role
The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians on a mission to develop a fault-tolerant quantum computer. As a Senior Quantum Applied Scientist on our Device and Architecture Theory team, you will be a technical authority and driving force in the theory and modeling of our superconducting qubit processors.
Responsibilities
- Develop theoretical and numerical models of superconducting qubit processors, working across theory, measurement, design, and calibration teams to validate predictions and translate modeling insights into device improvements
- Conduct pathfinding research on novel qubit designs, gate schemes, and processor architectures to push the performance of next-generation devices
- Communicate scientific findings across the CQC, and, when appropriate, share results externally via conference presentations and publications in scientific journals
- Identify and evaluate emerging research developments that could impact architectural decisions
Requirements
Significant expertise in one or more of the following areas: superconducting circuits, cavity/circuit QED, quantum optics, open quantum systems
A demonstrated track record of original, impactful research in quantum physics
Experience successfully delivering on projects as part of a cross-team collaboration
Qualifications
- PhD PhD in physics, applied physics, electrical engineering, or an equivalent degree in a similar field, and 5+ years of related experience
- Expertise in superconducting qubits and their core operations - gates, readout, reset, etc.
- Familiarity with bosonic codes, erasure/dual-rail qubits, or protected qubits
- Familiarity with quantum error correction and fault tolerant logic
- Experience with theoretical and numerical modeling of multi-qubit quantum processors
- Experience working directly with experimental data or supporting an experimental collaboration
- Expertise in numerical methods and experience with high-performance computing
- Experience setting technical direction for a research team or initiative
Skills
Expertise in superconducting qubits and their core operations - gates, readout, reset, etc.
Familiarity with bosonic codes, erasure/dual-rail qubits, or protected qubits
Familiarity with quantum error correction and fault tolerant logic
Experience with theoretical and numerical modeling of multi-qubit quantum processors
Experience working directly with experimental data or supporting an experimental collaboration
Expertise in numerical methods and experience with high-performance computing
Experience setting technical direction for a research team or initiative