121 research outputs found
Generators of nonclassical states by combination of the linear coupling of boson modes, Kerr nonlinearity and the strong linear losses
We show that the generators of quantum states of light can be built by
employing the Kerr nonlinearity, a strong linear absorption or losses and the
linear coupling of optical modes. Our setup can be realized, for instance, with
the use of the optical fiber technology. We consider in detail the simplest
cases of three and four coupled modes, where a strongly lossy mode is linearly
coupled to other linear and nonlinear modes. In the three-mode design, our
scheme emulates the third-order nonlinear absorption, allowing for generation
of the single photon states, or the two-photon absorption allowing to generate
the phase states. In the four-mode design, the scheme emulates a non-local
absorption which produces an entangled state of two uncoupled modes. We also
note that in the latter case and in the case of the phase states generation the
output state is in the linear modes, which prevents its subsequent degradation
by the strong losses accompanying the strong Kerr nonlinearity.Comment: 10 pages, 4 figures; typos in the text and figures were correcte
Second-order superposition operations via Hong-Ou-Mandel interference
We propose an experimental scheme to implement a second-order nonlocal
superposition operation and its variants by way of Hong-Ou-Mandel interference.
The second-order coherent operations enable us to generate a NOON state with
high particle number in a heralded fashion and also can be used to enhance the
entanglement properties of continuous variable states. We discuss the
feasibility of our proposed scheme considering realistic experimental
conditions such as on-off photodetectors with nonideal efficiency and imperfect
single-photon sources.Comment: published version, 6 pages, 6 figure
Tomography by noise
We present an efficient and robust method for the reconstruction of photon
number distributions by using solely thermal noise as a probe. The method uses
a minimal number of pre-calibrated quantum devices, only one on/off
single-photon detector is sufficient. Feasibility of the method is demonstrated
by the experimental inference of single-photon, thermal and two-photon states.
The method is stable to experimental imperfections and provides a direct,
user-friendly quantum diagnostics tool
Biased tomography schemes: an objective approach
We report on an intrinsic relationship between the maximum-likelihood
quantum-state estimation and the representation of the signal. A quantum
analogy of the transfer function determines the space where the reconstruction
should be done without the need for any ad hoc truncations of the Hilbert
space. An illustration of this method is provided by a simple yet practically
important tomography of an optical signal registered by realistic binary
detectors.Comment: 4 pages, 3 figures, accepted in PR
Nonlinear dissipation can combat linear loss
We demonstrate that it is possible to compensate for effects of strong linear
loss when generating non-classical states by engineered nonlinear dissipation.
We show that it is always possible to construct such a loss-resistant
dissipative gadget in which, for a certain class of initial states, the desired
non-classical pure state can be attained within a particular time interval with
an arbitrary precision. Further we demonstrate that an arbitrarily large linear
loss can still be compensated by a sufficiently strong coherent or even thermal
driving, thus attaining a strongly non-classical (in particular,
sub-Poissonian) stationary mixed states.Comment: Submitted to PR
Quantum tight-binding chains with dissipative coupling
We present a one-dimensional tight-binding chain of two-level systems coupled
only through common dissipative Markovian reservoirs. This quantum chain can
demonstrate anomalous thermodynamic behavior contradicting Fourier law.
Population dynamics of individual systems of the chain is polynomial with the
order determined by the initial state of the chain. The chain can simulate
classically hard problems, such as multi-dimensional random walks
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