Abstract: A method and a system for encryption and decryption based on continuous-variable quantum neural network CVQNN. The method includes: updating a weight of the CVQNN with a training sample; triggering, by a sender, a legal measurement bases synchronization between the sender and the CVQNN; converting, by the sender, the information to be sent into a quadratic plaintext according to the synchronized measurement bases, and sending the quadratic plaintext to the CVQNN; encrypting, by the CVQNN, a received quadratic plaintext, and sending an encrypted quadratic plaintext to a receiver; after receiving the encrypted quadratic plaintext, sending by the receiver the encrypted quadratic plaintext to the CVQNN for decryption to obtain decrypted information. The embodiments implement data encryption and decryption by introducing CVQNN model and synchronization measurement technology. The embodiments provide advantages of high reliability, high security and easy realization.

Abstract: An electronic device and a power module are provided. The power module includes a power housing; a circuit board, connected to the power housing and arranged with a plurality of pads on a surface of the circuit board facing the power housing; an electronic component, arranged on the circuit board and comprising a plurality of pins; wherein the plurality of pins are soldered and connected to the plurality of pads; and a first sealant layer, arranged on the surface of the circuit board facing the power housing, and covering the plurality of pins and the plurality of pads.

Abstract: An electronic device and a power module are provided. The power module includes a power housing; a circuit board, connected to the power housing and arranged with a plurality of pads on a surface of the circuit board facing the power housing; an electronic component, arranged on the circuit board and comprising a plurality of pins; wherein the plurality of pins are soldered and connected to the plurality of pads; and a first sealant layer, arranged on the surface of the circuit board facing the power housing, and covering the plurality of pins and the plurality of pads.

Abstract: A method and a system for encryption and decryption based on continuous-variable quantum neural network CVQNN. The method includes: updating a weight of the CVQNN with a training sample; triggering, by a sender, a legal measurement bases synchronization between the sender and the CVQNN; converting, by the sender, the information to be sent into a quadratic plaintext according to the synchronized measurement bases, and sending the quadratic plaintext to the CVQNN; encrypting, by the CVQNN, a received quadratic plaintext, and sending an encrypted quadratic plaintext to a receiver; after receiving the encrypted quadratic plaintext, sending by the receiver the encrypted quadratic plaintext to the CVQNN for decryption to obtain decrypted information. The embodiments implement data encryption and decryption by introducing CVQNN model and synchronization measurement technology. The embodiments provide advantages of high reliability, high security and easy realization.