Abstract: Systems and methods are provided for implementing arbitrary single-qubit quantum gates using sequences of single-qubit quantum gates. The systems and methods can implement a first quantum gate in a gate sequence by applying a first sequence of phase-shifted pulses to the qubit. After applying the first quantum gate, a second quantum gate in the gate sequence can be implemented by applying a second sequence of phase-shifted pulses to the qubit. The implementation of the second quantum gate can introduce an additional rotation. This additional rotation can be independent of the implementation of the first quantum gate. A pulse in the second sequence can be configured to implement: a virtual Z gate having a first rotation angle; an X gate having a second rotation angle; and the virtual Z gate having a negative of the first rotation angle.

Abstract: A sentence generation method is provided for an electronic device. The method includes obtaining an input sequence, encoding the input sequence to obtain a sentence eigenvector, decoding the sentence eigenvector to obtain a first predetermined quantity of candidate sentence sequences, clustering the first predetermined quantity of candidate sentence sequences to obtain sentence sequence sets of at least two types, screening out a second predetermined quantity of candidate sentence sequences from the sentence sequence sets of at least two types, the second predetermined quantity of candidate sentence sequences including at least two sentence feature types, and determining an output sequence corresponding to the input sequence according to the second predetermined quantity of candidate sentence sequences.

Abstract: The present disclosure provides a dialog generation method, performed by a human-machine dialog system. The method includes obtaining an input dialog sequence from a dialog client; obtaining associated information related to the input dialog sequence; encoding, by an encoder, the input dialog sequence to obtain an input encoding vector; encoding, by the encoder, the associated information to obtain an associated encoding vector; decoding, by a decoder, the input encoding vector and the associated encoding vector to obtain an output dialog sequence, the output dialog sequence comprising an out-of-vocabulary word corresponding to the associated information; and transmitting the output dialog sequence to the dialog client.

Abstract: Provided are a trusted environment remote verification method and apparatus, a device, a system, and a medium. The implementation is as follows: in response to a remote verification request of a verification demander, performing local verification on a target enclave through a verification program of the verifier; and signing a local verification result through a first key of the verification program, and feeding back the signed local verification result to the verification demander to enable the verification demander to perform the following operations: performing signature verification on the signed local verification result according to a second key associated with the first key, and determining a remote verification result of the target enclave according to a signature verification result.

Abstract: The present disclosure provides a dialog generation method, performed by a human-machine dialog system. The method includes obtaining an input dialog sequence from a dialog client; obtaining associated information related to the input dialog sequence; encoding, by an encoder, the input dialog sequence to obtain an input encoding vector; encoding, by the encoder, the associated information to obtain an associated encoding vector; decoding, by a decoder, the input encoding vector and the associated encoding vector to obtain an output dialog sequence, the output dialog sequence comprising an out-of-vocabulary word corresponding to the associated information; and transmitting the output dialog sequence to the dialog client.

Abstract: A sentence generation method is provided for an electronic device. The method includes obtaining an input sequence, encoding the input sequence to obtain a sentence eigenvector, decoding the sentence eigenvector to obtain a first predetermined quantity of candidate sentence sequences, clustering the first predetermined quantity of candidate sentence sequences to obtain sentence sequence sets of at least two types, screening out a second predetermined quantity of candidate sentence sequences from the sentence sequence sets of at least two types, the second predetermined quantity of candidate sentence sequences including at least two sentence feature types, and determining an output sequence corresponding to the input sequence according to the second predetermined quantity of candidate sentence sequences.