Recent progress in machine learning has affected almost all areas of the modern economy. The use of quantum protocols to speed up classical machine learning approaches may have further profound effects on society in the future. Here, we developed a hybrid quantum-assisted self-organizing feature map, a type of artificial neural network, and apply it to the data clustering problem in an unsupervised manner. We show that it allows us to reduce the number of calculations in a number of clusters. It is believed that similar types of hybrid quantum classical algorithms can be the main test bed to achieve practical quantum supremacy on Noisy Intermediate Scale Quantum devices.
Two component Bose-Einstein condensates (BECs) have been recently shown to be viable systems for storing and manipulating quantum information. Unlike standard single-particle qubits, the quantum information is duplicated in a large number of identical bosonic particles, thus can be considered to be a macroscopic qubit. The duplication of the quantum information makes them potentially more robust than conventional qubits, where all the quantum information is lost with a single error. It has been shown theoretically and experimentally that such ensembles can be used in many ways the same way as a standard qubit: they can be visualized on the Bloch sphere, and can be manipulated analogously to standard qubits. On the other hand, the BEC qubits do not have genuine interaction between each other and one of the main difficulties with such a system is how to effectively interact them together in order to transfer quantum information and create entanglement. Furthermore, the larger Hilbert space of the macroscopic bosonic system does not allow for unique mapping of standard quantum algorithms. However, in a few past years the main building blocks of quantum information processing and several quantum algorithms were translated to the BEC qubits. In this paper we give a brief colloquium of the current achievements and outline new perspectives of the use of BEC qubits and spin-coherent ensembles for quantum technologies.
Entanglement generation between atomic ensembles is typically modeled using the framework of continuous
variables (CV) which approximates discrete spin operators as canonical position and momentum operators.
Although hugely successful with many applications, this approximation is valid only for small deviations in spin.
Here we investigate entanglement generation between two atomic ensemble qubits using a measurement based
scheme of a common light mode. Various methods of entanglement detection of the entangled state is discussed.
We propose a entanglement witness for this state and discuss its further applications to optical states.
Two component Bose-Einstein condensates (BECs) have been recently shown to be viable systems for storing
and manipulating quantum information. Unlike standard single-system qubits, the quantum information is
duplicated in a large number of identical bosonic particles, thus can be considered to be a “macroscopic” qubit.
One of the difficulties with such a system is how to effectively interact such qubits together in order to transfer
quantum information and create entanglement. Here we discuss quantum state transfer using cavities containing
two-component BECs coupled by optic fiber with a goal to apply this technique for quantum networking with
BECs.
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