permanent position, 40 hour per week) At Nord Quantique, we strive to build impactful technology by relentlessly pushing our understanding of quantum science. Our quantum processors are designed to reduce errors in quantum computation to facilitate long-term scaling toward fully‑fledged quantum computers. Our Theory and Simulations team develops the models and numerical tools that connect device physics, quantum‑control protocols, error correction, and logical performance. These capabilities guide the design of our hardware and are central to evaluating and improving our quantum‑computing architecture. We are seeking a Senior Computational Quantum Physicist to lead the development of the next generation of simulation methods for bosonic quantum error correction. Meeting these goals will require recent representations and algorithms rather than incremental optimization alone. Promising directions include tensor networks, rare‑event sampling, and logical‑level or near‑Clifford simulation methods. You will help define the technical roadmap, develop and validate new numerical approaches, and shape the architecture of the simulation codebase. Tensor‑network and compressed bosonic simulation Develop scalable methods for simulating multimode bosonic systems using tensor networks and related compression techniques. Develop efficient models in which the full bosonic state is replaced by an encoded logical qubit together with a controlled number of residual, gauge, or leakage degrees of freedom. Determine which bosonic effects, correlations, and non‑Pauli processes must be retained, establish the regimes in which each effective model remains valid, and benchmark these models systematically against full bosonic simulations.



Develop variance‑reduction and rare‑event sampling techniques for logical‑error‑rate estimation. Relevant approaches may include importance sampling, biased trajectory ensembles, splitting methods, sequential Monte Carlo, Markov chain Monte Carlo, and related techniques. High‑performance scientific software Design and maintain a modular simulation platform that can support multiple physical representations and numerical backends through a consistent Python interface. Improve performance using established high‑performance numerical libraries, accelerator‑aware frameworks, parallelism, compilation, batching, and efficient data structures. Work with the compiler team to define robust interfaces between compiled quantum programs, physical noise models, simulation backends, and analysis workflows. Lead the design and implementation of scalable simulation algorithms for bosonic quantum systems and quantum error‑correcting codes. Establish the technical roadmap for the evolution of simulation capabilities. Define numerical benchmarks, convergence tests, uncertainty estimates, and validation strategies for new simulation methods. Own and evolve the architecture and scientific quality of the simulation codebase. Ensure that new backends integrate cleanly behind shared Python interfaces and can interface with the company’s compiler and broader software stack. Make informed choices among JAX and other high‑performance numerical or tensor‑network frameworks.



Translate research prototypes into reliable, maintainable, and well‑tested scientific software. Mentor team members, provide technical reviews, and help establish best practices for computational research. Communicate results and technical trade‑offs clearly to scientific, software, and leadership audiences. A PhD in physics, applied mathematics, computer science, or a related field, or equivalent research experience. ~3+ years of post‑graduate experience in quantum industry or academia ~ A strong background in quantum mechanics, numerical physics, scientific computing, or quantum information. ~ Experience with high‑performance numerical frameworks such as JAX, NumPy/SciPy, Julia, or comparable tools. ~ Strong programming skills and experience developing structured, tested, and maintainable scientific software. ~ Experience taking leadership of a research or scientific‑software project. ~ The ability to provide technical leadership, mentor colleagues, and make sound architectural decisions under research uncertainty. ~ Strong written and verbal communication skills and the ability to collaborate across scientific and engineering disciplines. Additional assets Bosonic quantum error correction, GKP codes, or continuous‑variable quantum information Excellent ability to prioritize work and effectively coordinate multiple activities or projects simultaneously. Scientific curiosity and a strong interest in complex, interdisciplinary challenges. Autonomy and initiative in achieving research and development objectives. Excellent communication skills with stakeholders from diverse technical disciplines. Nord Quantique is committed to the principles of equity, diversity, and inclusion in its training, workplace

📌 Senior Computational Quantum Physicist (Canada)
🏢 Nord Quantique
📍 Canada