"An experiment is a question which science poses to Nature, and a measurement is the recording of Nature’s answer. " Max Planck
Research Area
Quantum Classifier
A classification is a form of machine learning in which labels are assigned to data with respect to other data and it has widespread use ranging from everyday life to the remote sensing system. Artificial neural networks (ANN) are being used in classification tasks for a long time. Neural networks are loosely representative of the human brain's learning. Like ANN, a single qubit quantum circuit can be used as a universal classifier with the idea of “data reuploading”. This has been realized experimentally with the trapped ion system.
This is an example of binary classification, classifying points in a plane bounded by a circle and test if an arbitrary point lies within (blue) or outside the circle (green).
Quantum Simulation
Trapped ion is a well controllable experimental system that is used as a quantum simulator. There are many hard problems that arise in quantum physics especially when many quantum particles interact with each other.
These problems are very hard, can not be solved even in supercomputers except quantum simulators. Our quantum simulator is used for simulating the Bose-Hubbard model.
1.https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.111.170406
2. https://journals.aps.org/pra/abstract/10.1103/PhysRevA.85.063401
3.https://iopscience.iop.org/article/10.1088/0953-4075/49/5/055502
Quantum Metrology
Quantum mechanics imposes limits on the precision of measurement with Heisenberg-limited sensitivity. Unlike Heisenberg limits, conventional bounds such as the shot-noise limit or the standard quantum limit are not fundamental to the precision of measurements as it is now known that using trapped ions prepared in judiciously chosen quantum states can increase their sensitivity to perturbations. As a consequence, quantum metrology based on trapped ion systems has become a subject of great practical interest.
https://quantumlah.org/about/highlight/2020-02-dark-matter-detection
Precision Spectroscopy
Trapped ion systems have emerged as a potential candidate to perform the high precision experiment to measure like exacting branching ratio, atomic state life-time, the fine structure constant, parity-violating light shifts, Lorentz symmetry test etc. and their results allow us a better understanding of the properties of quantum systems. The precision normally depends on how well the system under investigation can be isolated from unwanted perturbations and such isolation can be achieved in trapped ion systems for precision experiments. https://www.nature.com/articles/srep29772
