Terra quantum at MIPT-QUANT 2020

Implementations of quantum information-processing systems require quantum algorithms and corresponding material tools to solve problems posited by modern information technologies. Terra Quantum offers state-of-the-art solutions that pave the way to a new level of efficiency in information processing. In this paper, we outline the research activities carried out by Terra Quantum experts who focus on quantum computing and quantum machine learning, sensors and metrology, quantum cryptography, random number generators, and algorithmic cooling.

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[24]  Geoff J. Pryde,et al.  Practical Quantum Metrology , 2013, 1307.4673.

[25]  Seth Lloyd,et al.  Gaussian quantum information , 2011, 1110.3234.

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[29]  Easwar Magesan,et al.  Machine Learning for Discriminating Quantum Measurement Trajectories and Improving Readout. , 2014, Physical review letters.

[30]  Nathan Wiebe,et al.  Robust online Hamiltonian learning , 2012, TQC.

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[32]  Peter P. Rohde,et al.  The resurgence of the linear optics quantum interferometer — recent advances & applications , 2018, Reviews in Physics.

[33]  Mario Krenn,et al.  Active learning machine learns to create new quantum experiments , 2017, Proceedings of the National Academy of Sciences.

[34]  Hartmut Neven,et al.  Classification with Quantum Neural Networks on Near Term Processors , 2018, 1802.06002.

[35]  Bing Qi,et al.  Practical challenges in quantum key distribution , 2016, npj Quantum Information.

[36]  Kaushik P. Seshadreesan,et al.  Quantum Optical Technologies for Metrology, Sensing, and Imaging , 2014, Journal of Lightwave Technology.

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[40]  P. Hakonen,et al.  Broadband lumped-element Josephson parametric amplifier with single-step lithography , 2018, Applied Physics Letters.

[41]  Jeremy L O'Brien,et al.  Towards practical quantum metrology with photon counting , 2016, npj Quantum Information.

[42]  J. F. Dynes,et al.  Cambridge quantum network , 2019, npj Quantum Information.

[43]  A. Zeilinger,et al.  Automated Search for new Quantum Experiments. , 2015, Physical review letters.

[44]  Kristan Temme,et al.  Supervised learning with quantum-enhanced feature spaces , 2018, Nature.