Voice processing using photonic quantum computing

A method comprising:

• receiving voice data, wherein the voice data is represented by classical binary bits;
• converting the voice data to a first photon beam comprising converted voice data, wherein the converted voice data is represented by photonic quantum bits;
• splitting the first photon beam into a plurality of split photon beams;
• receiving the plurality of split photon beams by a quantum neural network, wherein the quantum neural network comprises a plurality of quantum neural network clusters;
• and
• processing the converted voice data by processing the plurality of split photon beams, wherein each of the plurality of split photon beams is processed by a respective neural network cluster in parallel, and wherein processing the converted voice data comprises:
• extracting a plurality of voice features from the converted voice data;
• creating word embeddings based on the plurality of voice features;
• determining a plurality of sentences based on the word embeddings;
• determining first correlations between each word and all other words of each sentence based on the word embeddings;
• identifying a context of each sentence based on the first correlations;
• determining second correlations between each word of each sentence and all words of a previous sentence based on the word embeddings;
• an intent of the plurality of sentences based on the first correlations and the second correlations;
• and
• sending the plurality of sentences and the intent as a second photon beam.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• receive voice data, wherein the voice data is represented by classical binary bits;
• convert the voice data to a first photon beam comprising converted voice data, wherein the converted voice data is represented by photonic quantum bits;
• split the first photon beam into a plurality of split photon beams;
• receive the plurality of split photon beams by a quantum neural network, wherein the quantum neural network comprises a plurality of quantum neural network clusters;
• and
• process the converted voice data by processing the plurality of split photon beams, wherein each of the plurality of split photon beams is processed by a respective neural network cluster in parallel, and wherein processing the converted voice data comprises:
• extracting a plurality of voice features from the converted voice data;
• creating word embeddings based on the plurality of voice features;
• determining a plurality of sentences based on the word embeddings;
• determining first correlations between each word and all other words of each sentence based on the word embeddings;
• identifying a context of each sentence based on the first correlations;
• determining second correlations between each word of each sentence and all words of a previous sentence based on the word embeddings;
• an intent of the plurality of sentences based on the first correlations and the second correlations;
• and
• sending the plurality of sentences and the intent as a second photon beam.