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19982023
most citedAn introduction to quantum machine learning

1.3k citations · 7.8k across the 140 of their papers we have counts for

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Showing 2017 · quant-phShow all

5 papers · 2 filters

quant-ph2017★ 69 cited

Non-Markovian evolution: a quantum walk perspective

Pradeep Kumar, Subhashish Banerjee, R. Srikanth +2

Quantum non-Markovianity of a quantum noisy channel manifests typically as information backflow, characterized by the departure of the intermediate map from complete positivity, th…

quant-ph2017★ 12 cited

Probing decoherence in plasmonic waveguides in the quantum regime

S. G. Dlamini, J. T. Francis, X. Zhang +4

We experimentally investigate the decoherence of single surface plasmon polaritons in metal stripe waveguides. In our study we use a Mach-Zehnder configuration previously considere…

quant-ph2017★ 1 cited

Quantum ensembles of quantum classifiers

Maria Schuld, Francesco Petruccione

Quantum machine learning witnesses an increasing amount of quantum algorithms for data-driven decision making, a problem with potential applications ranging from automated image re…

quant-ph2017★ 4 cited

Non-Markovian Dynamics of Discrete-Time Quantum Walks

Subhashish Banerjee, N. Pradeep Kumar, R. Srikanth +2

In the case of the discrete time coined quantum walk the reduced dynamics of the coin shows non-Markovian recurrence features due to information back-flow from the position degree…

quant-ph2017★ 249 cited

Implementing a distance-based classifier with a quantum interference circuit

Maria Schuld, Mark Fingerhuth, Francesco Petruccione

Lately, much attention has been given to quantum algorithms that solve pattern recognition tasks in machine learning. Many of these quantum machine learning algorithms try to imple…