Classical Internet evolved exceptionally during the last five decades, from a network
comprising a few static nodes in the early days to a leviathan interconnecting billions of …

Modern quantum machine learning (QML) methods involve variationally optimizing a
parameterized quantum circuit on a training data set, and subsequently making predictions …

Distributing entanglement between distant nodes is an essential task in quantum networks.
To achieve this task, quantum repeaters have been introduced to perform entanglement …

We compare the performance of quantum error correcting codes when memory errors are
unitary with the more familiar case of dephasing noise. For a wide range of codes, we …

Recently, quantum error-correcting codes have been proposed that capitalize on the fact
that many physical error models lead to a significant asymmetry between the probabilities for …

We derive necessary and sufficient conditions for the approximate correctability of a
quantum code, generalizing the Knill-Laflamme conditions for exact error correction. Our …

Integrating the full-duplex capability with quantum communication potentially equips
emerging wireless networks with a quantum layer of security for the stringent communication …

Error correction procedures are considered which are designed specifically for the
amplitude damping channel. Amplitude damping errors are analyzed in the stabilizer …

Surface codes are versatile quantum error-correcting codes known for their planar geometry,
making them ideal for practical implementations. While the original proposal used Pauli X or …

We demonstrate that there exists a universal, near-optimal recovery map—the transpose
channel—for approximate quantum error-correcting codes, where optimality is defined using …