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Americas, United States, Boston

Posted 14 days ago

Quantum Scientist - Machine Learning and Quantum Error Correction

🏢 QuEra

USD 130K - 211K per year

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Role Type

🧪 Scientist / Researcher

Role Focus

🛠️ Advance Science

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

🏢 Industry

QuEra Computing is seeking an impact-motivated researcher specializing in quantum error correction and decoding. This role involves developing and implementing quantum error correction protocols and decoding algorithms on unique hardware, with a strong focus on utilizing machine learning techniques. The scientist will address complex challenges, including designing hardware-efficient schemes, developing protocols for fault-tolerant logic, and implementing advanced fault-tolerant quantum algorithms.

Key Responsibilities

Develop and implement quantum error correction protocols and decoding algorithms on the unique hardware.

Focus specifically on using machine learning methods for quantum error correction design and decoding.

Design protocols for executing fault-tolerant quantum logic.

Implement fault-tolerant quantum algorithms using developed methods.

Collaborate with academic and industry partners to solve fascinating challenges.

Required Skills

PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience

Experience in machine learning applied to scientific problems

Experience in quantum computing and quantum error correction

Exceptional publication record in relevant fields

Strong written and verbal communication skills

Strong software skills

Nice-to-have Skills

Experience simulating error correction protocols

Experience collaborating with experimental teams or implementing error correction protocols on hardware

Experience with high-performance software development and real-time operations

Technology Tags

Quantum Error Correction

The job centers entirely on developing and implementing QEC protocols and decoding.

Decoders

The role specifically involves developing and implementing decoding algorithms for QEC protocols.

Machine Learning

The role specifically focuses on the use of machine learning methods for decoding and QEC design.

Fault-Tolerant Computing

A key outcome is the design of protocols for executing fault-tolerant quantum logic and algorithms.

Rydberg atoms

The hardware platform used is explicitly specified as a Rydberg atom quantum computer.

Simulation algos

The preferred qualifications include experience simulating error correction protocols.

Classical programming

Strong software skills and high-performance software development are required for implementation and simulation.

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