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Removing the network adaptivity from distributed Gaussian metrology at the Heisenberg limit
Danilo Triggiani
School of Mathematics & Physics
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Dive into the research topics of 'Removing the network adaptivity from distributed Gaussian metrology at the Heisenberg limit'. Together they form a unique fingerprint.
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Arts and Humanities
Heisenberg Box
66%
Quantum
55%
Distributed
33%
Limitations
22%
Experimental
22%
Estimation
22%
Challenges
11%
Independent
11%
Scenarios
11%
Limits
11%
Frame-work
11%
Literature
11%
Typicality
11%
Generic
11%
INIS
metrology
66%
scaling
44%
precision
33%
probes
33%
resources
22%
sensitivity
22%
comparative evaluations
11%
values
11%
range
11%
photons
11%
quantum entanglement
11%
Physics
Independent Variables
66%
Metrology
44%
Networks
44%
Parameter
33%
Decoherence
22%
Photons
11%
Value
11%
Circuits
11%
Chemistry
Probe
100%
Quantum Metrology
44%
Gaussian
33%
Number
22%
Photon
11%
Purity
11%
Medicine and Dentistry
Measurement
44%
Accuracy
33%