Accenture Global Solutions Limited

Saurabh Juneja

Gopali Raval Contractor

Parag Rane

Prasanna Srinivasa Rao

Payal Agarwal

Adnan Khan

Mukesh Kumar Chaudhary

In some implementations, an olfaction system may receive partition coefficients associated with one or more molecules detected in a headspace of a sample captured from an environment. The olfaction system may generate a quantum-ready dataset based on the partition coefficients using a partial quantum autoencoder that includes one or more quantum gate layers. The olfaction system may use a quantum approximate optimization algorithm to identify, within a spectrum of potential smells simulated by a quantum circuit, a set of smells emitted by the sample based on the quantum-ready dataset. The olfaction system may map a set of objects to the set of smells emitted by the sample. The olfaction system may predict a future state associated with the set of smells emitted by the sample using one or more hybrid quantum machine learning models.

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Saurabh Juneja