It is shown that the communication efficiency scales polynomially with the channel length, and hence the scheme should be operable over very long distances.Expand

In the comment [1], Zanardi and Rasetti argue that several claims in our recent letter [2] are questionable. Here we show these claims remain true. Our points are that (i) the Hamiltonian (1) in Ref.… Expand

A technique for manipulating quantum information stored in collective states of mesoscopic ensembles by optical excitation into states with strong dipole-dipole interactions that can be employed for controlled generation of collective atomic spin states as well as nonclassical photonic states and for scalable quantum logic gates is described.Expand

We show how to efficiently simulate a quantum many-body system with tree structure when its entanglement (Schmidt number) is small for any bipartite split along an edge of the tree. As an… Expand

This work proposes a method to achieve substantial entanglement of a large number of atoms in a Bose–Einstein condensate, which is then allowed to evolve freely and should be realizable with present technology.Expand

This work proposes a scheme for scalable photonic quantum computation based on cavity-assisted interaction between single-photon pulses that is robust to practical noise and experimental imperfections in current cavity-QED setups.Expand

It is illustrated how this technique can be used to efficiently "engineer" quantum spin systems with desired properties, for specific examples ranging from scalable quantum computation to probing a model with complex topological order that supports exotic anyonic excitations.Expand

The practical construction of scalable quantum-computer hardware capable of executing nontrivial quantum algorithms will require the juxtaposition of different types of quantum systems. We analyze a… Expand

A quantum bit stored in a single trapped ytterbium ion (Yb+) is teleported to a second Yb+ atom with an average fidelity of 90% over a replete set of states.Expand

A proof that, assuming a widely believed computational complexity conjecture, a deep neural network can efficiently represent most physical states, including the ground states of many-body Hamiltonians and states generated by quantum dynamics, while a shallow network representation with a restricted Boltzmann machine cannot efficiently represent some of those states.Expand