I am Emad Rezaei Fard Boosari (He/Him), a physicist with a PhD in Physics whose research focuses on quantum computing and quantum information.
My research interests include:
- quantum algorithms
- quantum optimization
- quantum machine learning
- Hamiltonian simulation
- quantum state preparation
- Hybrid algorithms
My current research focuses on the role of data representation in the design of resource-efficient quantum algorithms for classical digital data.
In particular, I am interested in:
- efficient loading and representation of classical signals, images, and video streams on quantum computers
- combining classical signal processing and data compression techniques with quantum data representations and quantum circuit design
- quantum machine learning
- improving trainability of parameterized quantum circuits, particularly in the presence of flat gradients
Related preprints and publications are available on my Google Scholar profile.