Quantum modulation classifier system and method
A quantum modulation classifier. The quantum modulation classifier includes a trained quantum variational classifier including a plurality of qubits. The quantum variational classifier includes an embedding stage operable to apply a quantum embedding technique to embed a modulated radio signal, a variational stage operable to receive the modulated radio signal from the embedding stage and pass the modulated radio signal through a plurality of variational layers, and a measurement stage operable to receive the modulated radio signal from the variational stage and extract measurement results to classify the modulated radio signal.
1 . A quantum modulation classifier, comprising:
a trained quantum variational classifier including a plurality of qubits and comprising:
an embedding stage operable to apply a quantum embedding technique to embed a modulated radio signal,
a variational stage operable to receive the modulated radio signal from the embedding stage and pass the modulated radio signal through a plurality of variational layers, and
a measurement stage operable to receive the modulated radio signal from the variational stage and extract measurement results to classify the modulated radio signal.
2 . The quantum modulation classifier of claim 1 , wherein the quantum variational classifier further comprises a preprocessing module operable to receive the modulated radio signal and apply a preprocessing step to transform the modulated radio signal into a representation that is more suitable for the quantum embedding technique prior to passing the modulated radio signal to the embedding stage.
3 . The quantum modulation classifier of claim 1 , wherein the quantum variational classifier is configured for re-embedding of the modulated radio signal in parallel.
4 . The quantum modulation classifier of claim 1 , wherein the quantum variational classifier is configured for re-embedding of the modulated radio signal in series.
5 . The quantum modulation classifier of claim 1 , wherein the radio signal is a frequency modulated signal.
6 . The quantum modulation classifier of claim 1 , wherein the quantum embedding technique is amplitude embedding.
7 . The quantum modulation classifier of claim 1 , wherein the quantum embedding technique is angle embedding.
8 . The quantum modulation classifier of claim 1 , wherein the variational stage includes at least twenty variational layers.
9 . A quantum modulation classifier, comprising:
a radio signal receiver operable to measure a modulated radio signal; and
a trained quantum variational classifier communicatively coupled to the radio signal receiver to receive the modulated radio signal, the quantum variational classifier including a plurality of qubits and comprising:
an embedding stage operable to apply a quantum embedding technique to embed the modulated radio signal,
a variational stage operable to receive the modulated radio signal from the embedding stage and pass the modulated radio signal through a plurality of variational layers, and
a measurement stage operable to receive the modulated radio signal from the variational stage and extract measurement results to classify the modulated radio signal.
10 . The quantum modulation classifier of claim 9 , wherein the quantum variational classifier further comprises a preprocessing module operable to receive the modulated radio signal and apply a preprocessing step to transform the modulated radio signal into a representation that is more suitable for the quantum embedding technique prior to passing the modulated radio signal to the embedding stage.
11 . The quantum modulation classifier of claim 9 , wherein the quantum variational classifier is configured for re-embedding of the modulated radio signal in parallel.
12 . The quantum modulation classifier of claim 9 , wherein the quantum variational classifier is configured for re-embedding of the modulated radio signal in series.
13 . The quantum modulation classifier of claim 9 , wherein the modulated radio signal is a frequency modulated signal.
14 . A quantum modulation classification method, comprising:
receiving a modulated radio signal
embedding the modulated radio signal using an embedding stage of a quantum variational classifier;
passing the embedded modulated radio signal through a variational stage of the quantum variational classifier;
extracting measurement results from the embedded modulated radio signal passed through the variational stage using a measurement stage of the quantum variational classifier; and
classifying the modulated radio signal using the measurement results.
15 . The quantum modulation classification method of claim 14 , further comprising applying a preprocessing step to transform the modulated radio signal into a representation that is more suitable for a quantum embedding technique prior to embedding the modulated radio signal.
16 . The quantum modulation classification method of claim 14 , further comprising re-embedding the modulated radio signal in parallel.
17 . The quantum modulation classification method of claim 14 , further comprising re-embedding the modulated radio signal in series.
18 . The quantum modulation classification method of claim 14 , wherein embedding the modulated radio signal includes performing amplitude embedding of the modulated radio signal.
19 . The quantum modulation classification method of claim 14 , wherein embedding the modulated radio signal includes performing angle embedding of the modulated radio signal.