Overview In this role you will lead research and development for universal fault-tolerant quantum computation, validating protocols on existing and near-term quantum hardware. You'll drive a research program within the GTAR center to enable next-generation solutions for clients and businesses. You will implement and optimize FTQC protocols, contribute to scientific publications, and build accessible codebases to run fault-tolerant quantum algorithms. This position blends theory, numerics, and experimental validation within a dynamic, cross-disciplinary team.
Compensation / Benefits- competitive total rewards package
- base salary aligned with role and location
- potential incentive compensation
- comprehensive health care coverage
- retirement savings plan
- tuition reimbursement
Responsibilities- Lead a research agenda for universal FTQC on current and near-term hardware
- Develop circuit gadgets and protocols for FTQC
- Numerically optimize fault-tolerant gadgets for real hardware
- Implement and validate FTQC protocols on hardware
- Document results in scientific publications
- Maintain a usable codebase for running fault-tolerant quantum algorithms
Key requirements- Ph.D. or equivalent experience in CS, physics, math, engineering, or related fields
- Experience with qubit-based stabilizer QEC concepts and related codes
- Experience in analytical and numerical QEC/FTQC circuit design, noise modeling, decoding, and simulation
- Experience with fault-tolerant gadget design, magic-state distillation, or related areas (preferred)
- Experience with Cirq, Qiskit, or Pytket; programming in Python, Julia, C++, or Rust; strong communication skills
- strong oral and written communication
- ability to lead and collaborate in a cross-functional team
- scientific publication track record
- stabilizer and subsystem codes; CSS codes; parity check matrices; logical and gauge operators
- thresholds and pseudo-thresholds; Clifford and non-Clifford gates; code distance
- state preparation and logical operations in QEC cycles; noise and detector error models; numerical simulation; decoding
