What We Work On
Across our work, one question recurs in different forms: what are the fundamental limits of a quantum system, and how closely can a practical, near-term method approach them? The themes below are the pillars that our research keeps returning to.
Quantum Channels & Capacity Theory
How much information can a noisy quantum channel actually carry, and how do we know when we are close to that limit? We study the performance limits of quantum communication channels, including channels whose noise varies over time or is correlated across successive uses. This includes building estimators and discrimination strategies that work directly from measurement data — without needing a full, expensive characterization of the channel first — and extending these questions to channels with multiple transmit and receive modes.
Quantum Sensing, Metrology & Estimation
A recurring goal in our work is squeezing the most precise possible estimate of an unknown parameter out of a quantum system, under realistic, non-ideal measurement conditions. This spans multi-parameter and multi-phase estimation strategies that approach fundamental sensitivity limits, practical tomography methods that stay robust when data or resources are limited, and understanding how entanglement and other quantum correlations can themselves be turned into a metrological resource.
Quantum Computing, Optimization & Learning
We design and apply near-term quantum algorithms — variational methods and optimization-based approaches — to problems of practical interest, and study how they can be combined with classical machine learning, evolutionary computation, and reinforcement learning. The aim is to get useful answers to estimation, resource-allocation, and control problems out of the noisy, resource-constrained quantum hardware available today.
Secure & Anonymous Quantum Communication
Point-to-point key distribution is only the starting point. We work on the protocols needed to guarantee privacy, anonymity, and security in more general quantum communication settings — letting parties communicate, retrieve information, or coordinate with one another without revealing their identity or the content of what is exchanged.
Quantum Networks & Next-Generation Infrastructure
Building a practical quantum network raises engineering questions that go beyond any single link: how to route and distribute entanglement efficiently when links are lossy, and how to plan network infrastructure under real traffic and cost constraints. Increasingly, this also means asking how quantum communication fits into next-generation (6G) and non-terrestrial, satellite-based networks — and what digital-twin and AI-assisted tools are needed to design and operate systems at that scale.
Tools & Methods
Quantum information theory · probability theory · machine learning · linear algebra · complexity theory
For funded work arising from this research direction, see Projects. For the resulting papers, see Publications.