Quantum Source is developing a novel photonic quantum computing platform designed to enable scalable, fault-tolerant quantum computation.
We are a multidisciplinary startup bringing together expertise in quantum physics, optics, mechanical engineering, hardware, firmware, and software.
We are seeking a highly skilled and motivated Quantum Error Correction Scientist to join the Error Correction Team within our Theory Group.
The Theory Group develops the theoretical foundations of our quantum computing platform, from modeling quantum hardware components to designing quantum error correction codes and fault-tolerant architectures.
In this role, you will tackle challenging, open-ended problems at the forefront of quantum error correction.
Responsibilities
- Develop fault-tolerant quantum computing architectures tailored to our hardware, including:
- Research into novel quantum error correction codes, fault-tolerant logical gates, and adaptive error-mitigation methods.
- Research and development of quantum error correction decoding algorithms.
- Optimization of fault-tolerant protocols and hardware resources.
- Develop advanced simulation tools and realistic, hardware-aware noise models to evaluate logical error rates, thresholds, and resource overheads.
- Translate QEC research findings into quantitative hardware requirements and architectural design decisions.
- Collaborate closely with experimental and theoretical physicists, engineers, and software developers to bridge theory and implementation.
- Foster effective collaboration and knowledge sharing across teams.
- Stay current with the rapidly advancing scientific literature and identify promising research directions.
Qualifications
- Ph.D. in Physics, Mathematics, Computer Science, or a related field, with a strong publication record.
- Strong programming skills and experience implementing complex algorithms in Python, C++, or similar languages.
- Demonstrated ability to independently investigate complex, open-ended research problems.
- Experience in quantum error correction, quantum information, or quantum algorithms is a strong advantage.
- Experience with numerical simulations, optimization, or high-performance scientific computing is an advantage.
- Background in computer science fundamentals, including algorithms, data structures, complexity theory, or graph theory, is an advantage.
- Ability to learn quickly and master new research areas.
- Excellent communication skills and ability to collaborate effectively in a multidisciplinary environment.
- Comfortable working in a fast-paced startup, adapting to changing priorities and uncertainty, and translating research ideas into practical, actionable conclusions.
If you are passionate about quantum computing, excited by scientific challenges, and motivated to explore uncharted research directions, we would love to hear from you.