Lead Quantum Device Theorist
Leads theoretical modeling of superconducting quantum processors, focusing on noise sources, gate operations, and error correction to enhance qubit performance. Requires PhD in Physics or related field with 5+ years experience in circuit QED and quantum simulations.
Key Responsibilities
- Develop and maintain advanced simulation tools to accurately model noise sources in flux-tunable superconducting qubits
- Model and analyze entangling gate operations on superconducting quantum processors
- Apply optimal control techniques to improve quantum gate and readout performance
- Develop analytical tools to interpret experimental measurements and diagnose performance anomalies
- Perform detailed error-budget modeling to support quantum error correction (QEC) efforts
- Collaborate cross-functionally with teams in gate operations, measurement, device design, applications, algorithms, and control engineering.
Required Qualifications
- Ph.D. in Physics, Applied Physics, Electrical Engineering, or a related field, plus 5+ years of relevant work experience
- Modeling noise in large scale processors and inform Hamiltonian designs
- Experience simulating open quantum systems
- Experience collaborating with experimentalists on readout and noise characterization; analyzing and interpreting experimental data, and predicting anomalies
- Background in gate-based quantum computing or superconducting circuits, either academically or in industry
- Demonstrated depth and breadth in circuit QED physics, including Hamiltonian modeling, dispersive readout theory, and multi-qubit coupling architectures
- Proven expertise in noise modeling for quantum error correction, including coherent and incoherent error channels, leakage, crosstalk, and correlated noise
- Strong programming skills in Python for scientific applications
- Ability to excel in a collaborative environment
- Excellent communication skills
Preferred Qualifications
- Experience with optimal control theory applied to superconducting qubits
- Familiarity with quantum error correction codes and fault-tolerant architectures
- Track record of publications in relevant peer-reviewed journals
- Experience with high-performance computing or GPU-accelerated simulations
- Proficiency with scientific computing libraries such as QuTiP, or Stim
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