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Quantum Machine Learning

Quantum machine learning (QML) is a subdiscipline of quantum information processing research, with the goal of developing quantum algorithms that learn from data in order to improve existing methods in machine learning...

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Quantum Communication

Quantum Networks for Secure Long-Range Communication Long-haul and secure quantum communication could be an organizing theme for Qulabs’ Quantum Research Labs. Development of components...

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Quantum Computation

The challenge to conceptualize, develop and implement a complete set of software solutions necessary for creating an efficient and usable quantum computer is a potential theme for another Qulabs’ Quantum Research Lab...

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Quantum Algorithms and Simulation

Developing algorithms, architectures and platforms for quantum simulators is another potential major thrust area for Qulabs’ Quantum Research Labs. Efforts to emulate molecules, materials, or nuclear matter with other more-controllable quantum systems such as trapped..

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Quantum Sensing


Metrology and sensor technology based on quantum systems could be another focus area for Qulabs’ Quantum Research Labs. From precise measurements of fundamental constants to monitoring of environmental variables,the science and engineering of gaining metrological...

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QuAcademy


Qulabs plans to facilitate Research, Development, Training and Education in Quantum technologies through exposure of trainees to theoretical frameworks, algorithmic techniques and experimental platforms and testbeds, as well as interaction with national laboratories...

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