QEC Theorist II — Fault-Tolerant Quantum Architect

D-Wave Quantum Inc.; New Haven (CT); Presencial; USD 87.000 - 130.000; Tempo integral

Resumo da vaga

D-Wave Quantum Inc. in New Haven, CT, invites applications for a Quantum Error Correction Theorist II to advance fault-tolerant quantum architectures using dual-rail cavity qubits. The role focuses on research into QEC codes, erasure qubits, and simulations, with collaboration across physics and engineering teams.

A Ph.D. or Master’s with relevant experience is required, and strong programming skills are essential.

Qualificações

• Ph.D. and/or a Master’s degree with 2 years of relevant experience in Quantum Computing, Physics, Computer Science, Electrical Engineering, or related field.
• Demonstrated research track record in QEC codes, fault-tolerant protocols, and/or QEC simulations/modeling
• Proficiency in scientific programming (Python, Rust, Julia, MATLAB, C, C++ or similar)

Responsabilidades

• Conduct pathfinding QEC research tailored for dual-rail cavity qubits for near-term and scalable fault-tolerant computing applications
• Perform research towards fault-tolerant computation using erasure qubits on a broad range of QEC topics, including exploration of error correcting codes, lattice surgery, magic state preparation, decoders, and many more
• Perform logical error rate and resource estimation investigation for QEC architectures
• Design and perform detailed, hardware-accurate simulations of novel QEC protocols
• Contribute meaningfully to D-wave’s roadmap to realize fault-tolerant quantum computation with the dual-rail architecture

Conhecimentos

Python

Rust

Julia

MATLAB

C

C++

Formação

Ph.D. or Master’s degree

Descrição da vaga

D-Wave Quantum Inc. in New Haven, CT, invites applications for a Quantum Error Correction Theorist II to advance fault-tolerant quantum architectures using dual-rail cavity qubits. The role focuses on research into QEC codes, erasure qubits, and simulations, with collaboration across physics and engineering teams.

A Ph.D. or Master’s with relevant experience is required, and strong programming skills are essential.