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"An experiment is a question which science poses to Nature, and a measurement is the recording of Nature’s answer. " Max Planck
Quantum Classifier
Classification is a form of machine learning in which labels are assigned to data with respect to other data and it has wide spread use ranging from everyday life to the remote sensing system. Artificial neural networks (ANN) are being used in the classification tasks for a long time. Neural networks are loosely representative of the human brain learning. Like ANN, a single qubit quantum circuit can be used as universal classifier with the idea of “data reuploading”. This has been already realized with trapped ion system and trapped ion quantum classifier has certain advantages over ANN.
Binary Classification
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In a binary classifier, we want to classify points in a plane bounded by a curve (say circle) and test if an arbitrary point lies within or outside the closed curve. This type of classification is commonly encountered while classifying shapes in a feature space.
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 supercomputer except quantum simulator. Our quantum simulator is used for simulating 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 (SNL) or the standard quantum limit(SQL) are not fundamental to the precision of measurements as it is now known that using trapped ion 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
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