Beating the classical phase precision limit using a quantum neuromorphic
platform
- URL: http://arxiv.org/abs/2110.07507v1
- Date: Thu, 14 Oct 2021 16:29:02 GMT
- Title: Beating the classical phase precision limit using a quantum neuromorphic
platform
- Authors: Tanjung Krisnanda, Sanjib Ghosh, Tomasz Paterek, Wies{\l}aw Laskowski,
and Timothy C. H. Liew
- Abstract summary: Phase measurement constitutes a key task in many fields of science, both in the classical and quantum regime.
Here we theoretically model the use of a quantum network, composed of a randomly coupled set of two-level systems, as a processing device for phase measurement.
We demonstrate phase precision scaling following the standard quantum limit, the Heisenberg limit, and beyond.
- Score: 2.4937400423177767
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Phase measurement constitutes a key task in many fields of science, both in
the classical and quantum regime. The higher precision of such measurement
offers significant advances, and can also be utilised to achieve finer
estimates for quantities such as distance, the gravitational constant,
electromagnetic field amplitude, etc. Here we theoretically model the use of a
quantum network, composed of a randomly coupled set of two-level systems, as a
processing device for phase measurement. An incoming resource state carrying
the phase information interacts with the quantum network, whose emission is
trained to produce a desired output signal. We demonstrate phase precision
scaling following the standard quantum limit, the Heisenberg limit, and beyond.
This can be achieved using quantum resource states such as NOON states or other
entangled states, however, we also find that classically correlated mixtures of
states are alone sufficient, provided that they exhibit quantum coherence. Our
proposed setup does not require conditional measurements, and is compatible
with many different types of coupling between the quantum network and the phase
encoding state, hence making it attractive to a wide range of possible physical
implementations.
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