A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

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 …

Abstract The early Gottesman, Kitaev, and Preskill (GKP) proposal for encoding a qubit in an
oscillator has recently been followed by cat-and binomial-code proposals. Numerically …

Exciton-polariton condensates have attractive features for quantum computation, eg, room
temperature operation, high dynamical speed, ease of probe, and existing fabrication …

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

Distributed learning and multi-tier computing are the key ingredients to ensure ultra-reliable
and low-latency communication (URLLC) in 6G networks. The distinct transition from …

As with classical computers, quantum computers require error-correction schemes to reliably
perform useful large-scale calculations. The nature and frequency of errors depends on the …

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

The quantum computing devices of today have tens to hundreds of qubits that are highly
susceptible to noise due to unwanted interactions with their environment. The theory of …