306 research outputs found
Quantum generative adversarial learning
Generative adversarial networks (GANs) represent a powerful tool for
classical machine learning: a generator tries to create statistics for data
that mimics those of a true data set, while a discriminator tries to
discriminate between the true and fake data. The learning process for generator
and discriminator can be thought of as an adversarial game, and under
reasonable assumptions, the game converges to the point where the generator
generates the same statistics as the true data and the discriminator is unable
to discriminate between the true and the generated data. This paper introduces
the notion of quantum generative adversarial networks (QuGANs), where the data
consists either of quantum states, or of classical data, and the generator and
discriminator are equipped with quantum information processors. We show that
the unique fixed point of the quantum adversarial game also occurs when the
generator produces the same statistics as the data. Since quantum systems are
intrinsically probabilistic the proof of the quantum case is different from -
and simpler than - the classical case. We show that when the data consists of
samples of measurements made on high-dimensional spaces, quantum adversarial
networks may exhibit an exponential advantage over classical adversarial
networks.Comment: 5 pages, 1 figur
Continuous-variable dense coding by optomechanical cavities
In this paper, we show how continuous-variable dense coding can be
implemented using entangled light generated from a membrane-in-the-middle
geometry. The mechanical resonator is assumed to be a high reflectivity
membrane hung inside a high quality factor cavity. We show that the mechanical
resonator is able to generate an amount of entanglement between the optical
modes at the output of the cavity, which is strong enough to approach the
capacity of quantum dense coding at small photon numbers. The suboptimal rate
reachable by our optomechanical protocol is high enough to outperform the
classical capacity of the noiseless quantum channel
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