Method and device for processing data associated with a neural network
AssigneeRobert Bosch GmbH
InventorFrank Mack
Life of this patent
Estimating the term…
Abstract
A computer-implemented approach for integrating quantum computing elements into a neural network architecture, the neural network including an encoder and a decoder, the encoder being used to encode data input into the neural network and the decoder being used to at least partially reconstruct the encoded data. The encoder features at least one layer made up of quantum-based processors and at least one layer made up of non-quantum-based processors. This approach allows for extremely secure data transfer with high data compression.
Claims13
A computer-implemented method for processing data associated with an artificial neural network, the neural network including an encoder configured to encode first data and a decoder configured to decode data that are encoded using the encoder for at least partially reconstructing the first data, the encoder including at least one first layer having at least one first processing element based on nonquantum bits, the encoder further including at least one second layer having at least one second processing element based on quantum bits, the method comprising:
- encoding the first data using the encoder, the at least one first processing element based on nonquantum bits and the at least one second processing element based on quantum bits being used for the encoding.
A device configured to process data associated with an artificial neural network, the neural network including an encoder configured to encode first data and a decoder configured to decode data that are encoded using the encoder for at least partially reconstructing the first data, the encoder including at least one first layer having at least one first processing element based on nonquantum bits, the encoder further including at least one second layer having at least one second processing element based on quantum bits, the device configured to:
- encode the first data using the encoder, the at least one first processing element based on nonquantum bits and the at least one second processing element based on quantum bits being used for the encoding.
A sender configured to send encrypted messages, comprising:
- a device configured to process data associated with an artificial neural network, the neural network including an encoder configured to encode first data and a decoder configured to decode data that are encoded using the encoder for at least partially reconstructing the first data, the encoder including at least one first layer having at least one first processing element based on nonquantum bits, the encoder further including at least one second layer having at least one second processing element based on quantum bits, the device configured to:
- encode the first data using the encoder, the at least one first processing element based on nonquantum bits and the at least one second processing element based on quantum bits being used for the encoding.
A non-transitory computer-readable memory medium on which is stored commands for processing data associated with an artificial neural network, the neural network including an encoder configured to encode first data and a decoder configured to decode data that are encoded using the encoder for at least partially reconstructing the first data, the encoder including at least one first layer having at least one first processing element based on nonquantum bits, the encoder further including at least one second layer having at least one second processing element based on quantum bits, the commands, when executed by a computer, causing the computer to perform the following:
- encoding the first data using the encoder, the at least one first processing element based on nonquantum bits and the at least one second processing element based on quantum bits being used for the encoding.
Dependencies are inferred from the claim text.