Research
My work sits at the intersection of quantum computing, non-linear optimization, and real-time intelligent systems. I focus on quantum machine learning and optimization under real-world constraints — high-dimensional search spaces, non-linear decision processes, and systems that must adapt in real time.
During my PhD, I used nitrogen-vacancy centers in diamond as nanoscale probes to study strain, magnetic fields, and the thermodynamics of quantum measurement.
The NV center: a nitrogen atom next to a missing carbon atom in the diamond lattice. This tiny defect is a powerful quantum sensor.
Focus Areas
Quantum Machine Learning & Optimization
Working at the intersection of quantum computing, non-linear optimization, and real-time intelligent systems. I focus on problems where classical methods struggle: high-dimensional search spaces, non-linear decision processes, and systems that must adapt in real time.
NV Centers in Diamond
The nitrogen-vacancy (NV) center is a unique defect in diamond that consists of a nitrogen atom next to a missing carbon atom (vacancy). During my PhD, I used NV centers as nanoscale probes to study strain, magnetic fields, and the thermodynamics of quantum measurement.
Strain Tensor in Diamond Waveguides
We determine the strain tensor components in a diamond waveguide using zero-field ODMR spectroscopy of NV centers.
M. S. Alam et al., Phys. Rev. Applied 22, 024055 (2024) · arXiv
Two-Stroke Quantum Engine
We propose a two-stroke quantum engine fuelled by quantum measurements.
M. S. Alam and P. B. Venkatesh, arXiv 2201.06303 (2022) · arXiv
Publications
M. S. Alam et al. — Physical Review Applied 22, 024055 (2024) · arXiv
M. S. Alam and P. B. Venkatesh — arXiv preprint 2201.06303 (2022) · arXiv