
Quantum Error Correction – Syndrome Decoding Engineer
4 days ago
Entropica Labs builds advanced quantum computing software tools, with a focus on enabling cutting-edge research in quantum error correction and fault-tolerant quantum computation. Our flagship platform, Loom , provides a flexible and extensible framework for simulating, optimising, and testing quantum error correction schemes.
We are seeking a Quantum Error Correction – Syndrome Decoding Engineer to expand Loom's capabilities with robust and efficient syndrome decoding implementations, bridging the gap between software and hardware performance testing.
Role OverviewYou will design and implement syndrome decoding capabilities for a variety of quantum error correction schemes — including surface codes, colour codes, and qLDPC codes — in Loom. This includes integrating decoding algorithms into the library's simulation pipeline and working at the software–hardware interface to test, benchmark, and optimise performance on real or emulated quantum hardware.
This position requires deep familiarity with current research in quantum error correction, especially recent scientific developments in syndrome decoding, and strong skills in collaborative software development.
Key Responsibilities- Design, implement, and integrate syndrome decoding algorithms for various QEC codes into Loom.
- Collaborate with the hardware team to connect Loom's decoding capabilities to real or simulated quantum devices. Be prepared to make use of FPGAs and GPUs via their software interfaces.
- Benchmark and evaluate decoding performance across different code families and noise models.
- Stay current with state-of-the-art syndrome decoding research and translate recent scientific advances into practical software tools.
- Contribute to the Loom codebase following best practices in version control, testing, and documentation.
- Work in a collaborative, cross-disciplinary environment bridging quantum information science, software engineering, and hardware integration.
- Strong knowledge of quantum error correction and syndrome decoding methods.
- Experience with surface codes , color codes , and/or quantum LDPC codes .
- Proficiency in Python (experience with scientific computing libraries such as NumPy, SciPy, or networkx is a plus).
- Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq, Stim, PyMatching).
- Demonstrated experience working with Git and large, collaborative codebases.
- Understanding of software–hardware integration concepts.
- Research experience in syndrome decoding algorithms or related areas.
- Contributions to open-source quantum computing projects .
- Experience with performance optimisation for real-time or near-real-time decoding.
- Familiarity with FPGA, GPU, or other hardware-accelerated decoding approaches.
Strong understanding of software engineering best practices — testing, version control (Git), code review, management of packages with uv .
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