Abstract: A parity checking method and apparatus for a qubit, a superconducting quantum chip, an electronic device, and a storage medium are provided. The method includes: configuring a measurement system for a qubit excited state measurement environment, the measurement system including: a first data qubit, a second data qubit, and an auxiliary qubit; determining a first operational frequency parameter of the first data qubit; determining a second operational frequency parameter of the second data qubit; determining a third operational frequency parameter of the auxiliary qubit; determining a logic gate matching the qubit excited state measurement environment based on the first operational frequency parameter, the second operational frequency parameter, and the third operational frequency parameter; and checking parity of a qubit in the qubit excited state measurement environment according to the logic gate.

Abstract: A process of a voice control method with a cloud server and a terminal device. The voice control method includes: a terminal device receiving voice information; the terminal device querying a control instruction corresponding to the voice information from a local voice database; when the control instruction corresponding to the voice information is not queried in the local voice database, the terminal device uploading the voice information to a cloud server; the cloud server parsing the control instruction corresponding to the voice information; when the control instruction corresponding to the voice information is parsed, the cloud server sending the control instruction to the terminal device; and the terminal device receiving the control instruction, and performing a corresponding operation on the basis of control instruction.

Abstract: A present disclosure is a method of segmenting an abnormal robust for complex autonomous driving scenes and a system thereof, specifically relates to the technical field of an image segmenting system. The system includes: a segmentation module, configured to transmit an obtained input image to the segmentation network to obtain a segmentation prediction image, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics; a synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network; a difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects; a model training module; and an integrated prediction module.

Abstract: A present disclosure is a method of segmenting an abnormal robust for complex autonomous driving scenes and a system thereof, specifically relates to the technical field of an image segmenting system. The system includes: a segmentation module, configured to transmit an obtained input image to the segmentation network to obtain a segmentation prediction image, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics; a synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network; a difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects; a model training module; and an integrated prediction module.

Abstract: A method for recognizing time information from speech data includes: obtaining text information corresponding to speech data; identifying a first time feature contained in the speech data based on the text information; searching within a respective configuration file corresponding to the first time feature to obtain a corresponding time identifier for the first time feature; assigning the corresponding time identifier to a field that is in intermediate time data and that corresponds to the respective configuration file in which the first time feature is located, the intermediate time data comprising multiple fields, and each field being corresponding to a respective configuration file of a plurality of configuration files, each of the plurality of configuration files corresponding a respective category related to time; and obtaining, according to content of one or more fields in the intermediate time data, system time data corresponding to the time information contained in the speech data.

Abstract: Disclosed is a composition comprising: i) HBsAg, a fragment thereof, a variant thereof, or the mixture of at least two of them, ii) HBcAg1-X, a fragment thereof, a variant of the antigen or the antigen fragment, or the mixture of at least two of them, wherein X is an integer of from 149 to 183, iii) CpG-ODN, 21 bases long, which is a phosphorothioate oligonucleotide and includes two or more copies of 5?-NTCGTT-3? motifs. The use of the composition in the treatment of HBV-infection and HBV-induced diseases, and the therapy methods of HBV-infection and HBV-induced diseases are also disclosed.

Abstract: A method for recognizing time information from speech data includes: obtaining text information corresponding to speech data; identifying a first time feature contained in the speech data based on the text information; searching within a respective configuration file corresponding to the first time feature to obtain a corresponding time identifier for the first time feature; assigning the corresponding time identifier to a field that is in intermediate time data and that corresponds to the respective configuration file in which the first time feature is located, the intermediate time data comprising multiple fields, and each field being corresponding to a respective configuration file of a plurality of configuration files, each of the plurality of configuration files corresponding a respective category related to time; and obtaining, according to content of one or more fields in the intermediate time data, system time data corresponding to the time information contained in the speech data.

Abstract: Disclosed is a composition comprising: i) HBsAg, a fragment thereof, a variant thereof, or the mixture of at least two of them, ii) HBcAg1-X, a fragment thereof, a variant of the antigen or the antigen fragment, or the mixture of at least two of them, wherein X is an integer of from 149 to 183, iii) CpG-ODN, 21 bases long, which is a phosphorothioate oligonucleotide and includes two or more copies of 5?-NTCGTT-3? motifs. The use of the composition in the treatment of HBV-infection and HBV-induced diseases, and the therapy methods of HBV-infection and HBV-induced diseases are also disclosed.