Lead Scientist Fault-Tolerant Quantum Algorithms

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction-the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

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An overview of this role

This role focuses on leading research and development at the intersection of fault-tolerant quantum computing (FTQC) and large-scale algorithms for AI and simulation. You will use Loom, Entropica's quantum error correction compiler, to analyse the resource requirements and performance of fault-tolerant quantum algorithms, particularly those relevant to foundational mathematical functions in large language models (LLMs) and neural networks.

As Quantum Algorithms Lead, you will work hands-on with algorithm implementation, resource estimation, and performance benchmarking, while also exploring collaborations with academic and industry partners to test novel quantum neural network designs and AI models. Success requires a strong background in quantum mechanics, algorithms, and computational physics, plus the creativity to bridge theoretical insight with practical, architecture-aware FTQC implementation.

What You will contribute:

• Lead the design and benchmarking of FTQC algorithms, focusing on their feasibility.
• Identify and model the mathematical primitives in LLMs and neural networks most likely to benefit from quantum acceleration.
• Use Entropica's Loom compiler and software stack to perform rigorous QEC resource estimations and speedup analyses.
• Compare QEC codes for different quantum algorithms to outline possible architectures for specialised QPUs based on the implementation requirements.
• Explore and evaluate quantum-native AI model architectures with academic and industry partners.
• Translate research findings into actionable recommendations for compiler optimisation and FTQC orchestration.
• Publish and present research internally and externally to position Entropica as a leader in fault-tolerant quantum error correction.
• Maintain close collaboration with the compiler and orchestration teams to ensure alignment between theory and system requirements.

Job Requirements:

• Strong background in quantum mechanics, quantum algorithms and computational physics.
• Experience with resource estimation for quantum algorithms and familiarity with QEC concepts.
• Proficiency in Python and experience with scientific computing libraries.
• Familiarity with quantum programming frameworks (Qiskit, Cirq, PennyLane, or similar).
• Strong analytical skills and ability to translate theoretical models into implementable algorithms.
• Excellent communication skills for technical and non-technical audiences.
• PhD in Physics, Computer Science, or a related quantitative field.