My research interests include entanglement theory and quantification, quantum learning theory, and quantum sensing. I use tools from quantum information theory, representation theory, and probability to develop methods with rigorous performance guarantees — especially when measurements are subject to realistic constraints. I enjoy working in a highly interdisciplinary fashion, and many of my projects involve undergraduate, master's, and PhD student collaborators.
Three connected questions organize my work: how to efficiently quantify entanglement, how much information quantum strategies can extract about an unknown state, and how to push quantum sensors past the standard quantum limit. Click any theme below to filter the publications.
How do we efficiently quantify multipartite entanglement when limited to realistic measurements? My work has introduced the family of Concentratable Entanglements, developed Bell-basis estimation protocols, and most recently studied localizable entanglement in high-dimensional states.
What can we learn about a quantum state from finite copies, and how does the answer change when restricted to single-copy versus multi-copy measurements? Recent work proves exponential sample-complexity separations for product testing — sharpening our understanding of when multi-copy access is genuinely necessary.
Where are the fundamental limits on how precisely a quantum system can measure a signal — and how do squeezing, entanglement, and non-demolition strategies push past them? My work spans gravitational-wave detector design, dark-matter searches, and quantum Fisher information theory.
If you'd like to discuss a paper, suggest a follow-up direction, or flag a typo or error in my published work, please get in touch. I welcome feedback from students, collaborators, and readers alike.
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