near-term quantum computing

At neQxt, our theory team explores the principles that make scalable quantum computing possible. We study how fault tolerance can be realized under realistic conditions, designing circuits, developing simulation methods, and analyzing noise at the circuit level. A key part of our work is to understand trade-offs between different approaches and how they can be embedded into modular architectures. We aim to connect theoretical insights with practical feasibility, developing techniques that move fault tolerance closer to realization. By building tools, models, and architectures, we provide a bridge between abstract principles and the requirements of physical quantum processors.

At neQxt, our theory team explores the principles that make scalable quantum computing possible. We focus on logical-qubit systems: developing quantum error correcting codes, decoding methods, and logical gate constructions, and studying the mathematical structures that underlie them. Our work aims to deepen the understanding of how fragile quantum information can be preserved over long timescales and across large systems. By advancing the theoretical foundations of quantum fault tolerance, we contribute to both the science of quantum information and the long-term vision of reliable quantum computing.

We are seeking an extremely well-qualified and motivated researcher at the postdoctoral level to work on notions of quantum system identification and near-term quantum computing. Possible topics include

- randomized benchmarking,
- quantum state and process tomography,
- Hamiltonian learning,
- noise estimation,
- shadow estimation,

- computational complexity,
- expressive power of quantum circuits, or
- applications of near-term quantum computers.