4,975 research outputs found
Coherent-Classical Estimation for Linear Quantum Systems
We study a coherent-classical estimation scheme for a class of linear quantum
systems, where the estimator is a mixed quantum-classical system that may or
may not involve coherent feedback. We show that when the quantum plant or the
quantum part of the estimator (coherent controller) is an annihilation operator
only system, coherent-classical estimation without coherent feedback can
provide no improvement over purely-classical estimation. Otherwise,
coherent-classical estimation without feedback can be better than
classical-only estimation for certain homodyne detector angles, although the
former is inferior to the latter for the best choice of homodyne detector
angle. Moreover, we show that coherent-classical estimation with coherent
feedback is no better than classical-only estimation, when both the plant and
the coherent controller are annihilation operator only systems. Otherwise,
coherent-classical estimation with coherent feedback can be superior to
purely-classical estimation, and in this case, the former is better than the
latter for the optimal choice of homodyne detector angle.Comment: Minor corrections; 10 pages, 13 figures, journal version. arXiv admin
note: substantial text overlap with arXiv:1403.534
Robust Filtering for Adaptive Homodyne Estimation of Continuously Varying Optical Phase
Recently, it has been demonstrated experimentally that adaptive estimation of
a continuously varying optical phase provides superior accuracy in the phase
estimate compared to static estimation. Here, we show that the mean-square
error in the adaptive phase estimate may be further reduced for the stochastic
noise process considered by using an optimal Kalman filter in the feedback
loop. Further, the estimation process can be made robust to fluctuations in the
underlying parameters of the noise process modulating the system phase to be
estimated. This has been done using a guaranteed cost robust filter.Comment: 5 pages, 6 figures, Proceedings of the 2012 Australian Control
Conferenc
Robust Estimation of Optical Phase Varying as a Continuous Resonant Process
It is well-known that adaptive homodyne estimation of continuously varying
optical phase provides superior accuracy in the phase estimate as compared to
adaptive or non-adaptive static estimation. However, most phase estimation
schemes rely on precise knowledge of the underlying parameters of the system
under measurement, and performance deteriorates significantly with changes in
these parameters; hence it is desired to develop robust estimation techniques
immune to such uncertainties. In related works, we have already shown how
adaptive homodyne estimation can be made robust to uncertainty in an underlying
parameter of the phase varying as a simplistic Ornstein-Uhlenbeck stochastic
noise process. Here, we demonstrate robust phase estimation for a more
complicated resonant noise process using a guaranteed cost robust filter.Comment: 5 pages, 10 figures, Proceedings of the 2013 Multi-Conference on
Systems and Contro
Deterministic preparation of superpositions of vacuum plus one photon by adaptive homodyne detection: experimental considerations
The preparation stage of optical qubits is an essential task in all the
experimental setups employed for the test and demonstration of Quantum Optics
principles. We consider a deterministic protocol for the preparation of qubits
as a superposition of vacuum and one photon number states, which has the
advantage to reduce the amount of resources required via phase-sensitive
measurements using a local oscillator ('dyne detection'). We investigate the
performances of the protocol using different phase measurement schemes:
homodyne, heterodyne, and adaptive dyne detection (involving a feedback loop).
First, we define a suitable figure of merit for the prepared state and we
obtain an analytical expression for that in terms of the phase measurement
considered. Further, we study limitations that the phase measurement can
exhibit, such as delay or limited resources in the feedback strategy. Finally,
we evaluate the figure of merit of the protocol for different mode-shapes
handily available in an experimental setup. We show that even in the presence
of such limitations simple feedback algorithms can perform surprisingly well,
outperforming the protocols when simple homodyne or heterodyne schemes are
employed.Comment: revised versio
Improved mirror position estimation using resonant quantum smoothing
Quantum parameter estimation, the ability to precisely obtain a classical
value in a quantum system, is very important to many key quantum technologies.
Many of these technologies rely on an optical probe, either coherent or
squeezed states to make a precise measurement of a parameter ultimately limited
by quantum mechanics. We use this technique to theoretically model, simulate
and validate by experiment the measurement and precise estimation of the
position of a cavity mirror. In non-resonant systems, the achieved estimation
enhancement from quantum smoothing over optimal filtering has not exceeded a
factor two, even when squeezed state probes were used. Using a coherent state
probe, we show that using quantum smoothing on a mechanically resonant
structure driven by a resonant forcing function can result significantly
greater improvement in parameter estimation than with non-resonant systems. In
this work, we show that it is possible to achieve a smoothing improvement by a
factor in excess of three times over optimal filtering. By using intra-cavity
light as the probe we obtain finer precision than has been achieved with the
equivalent quantum resources in free-space.Comment: 14 pages, 9 figures and 1 tabl
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