tensor networks

The National Physical Laboratory (NPL), the UK’s national metrology institute and a world-leading centre for measurement science and innovation, is hiring motivated researchers at multiple seniority levels to join our Quantum Software & Modelling team, contributing to NPL’s role in realising the UK’s Quantum Technologies missions.

This is an exciting opportunity to work on cutting-edge research in one or more of the following areas:

The National Physical Laboratory (NPL), the UK’s national metrology institute and a world-leading centre for measurement science and innovation, is hiring motivated researchers at multiple seniority levels (permanent contract) to join our Quantum Software & Modelling team, contributing to NPL’s role in realising the UK’s Quantum Technologies missions.

This is an exciting opportunity to work on cutting-edge research in one or more of the following areas:

We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech.

The successful candidate will work in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending availability of funding.

We are looking for a highly motivated candidate for a fully-funded 4-year PhD position in tensor network simulations of strongly correlated quantum many body systems that parallel similar efforts with ultracold gases quantum simulators. The candidate is expected to have MSc in physics (at the time of enrollment) plus strong numerical and analytical skills. The emphasis is on developing new tensor network algorithms for simulations of quantum many body systems.

I invite applications for multiple Master's and PhD positions in the area of quantum information theory. My group is located at Concordia University, in the heart of downtown Montreal, Canada.

You will have the opportunity to join a growing quantum computing community in the Montréal area. Concordia has hired four new quantum computing faculty over the last two years (including myself). In addition, there are several quantum computing cohorts nearby including at ETS, McGill, University of Montréal, and University of Sherbrooke.

Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack of interpretability, and tendency to produce unreliable outputs (“hallucinations”).

This project investigates whether quantum computing can enable a new generation of generative AI models that are more efficient, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.).

École de technologie supérieure (ÉTS), a leading engineering institution within the Université du Québec system, has established a new Chair in Quantum Algorithms to advance cutting-edge research in the field. This Chair forms a foundational element of a broader strategic initiative: the creation of a future Quantum Science and Engineering Institute at ÉTS. As part of this growing ecosystem, we invite outstanding candidates to join a dynamic research group focused on the theoretical and experimental advancement of quantum computing.