Abstract: A thermalized state preparation method under a quantum system, a device and a storage medium relate to the field of quantum technologies. The method includes: acquiring a transformation process performed by a parameterized quantum circuit on an input quantum state of combined qubits to obtain n sets of measurement results (210); processing the second measurement results through a neural network to obtain weight parameters (220); computing a correlation function value of a mixed state of the target quantum system based on the weight parameters and the first measurement results (230); and computing an expected value of an objective function based on the correlation function value (240); adjusting variational parameters taking an expected value convergence of the objective function as a goal (250); and acquiring, under a condition that the expected value satisfies a convergence condition, the mixed state to approximately characterize a thermalized state of the target quantum system (260).

Abstract: A method of a quantum circuit simulation includes receiving a primitive function for the quantum circuit simulation, and determining at least a first input parameter of the primitive function. The quantum circuit simulation includes a plurality of first tensors respectively for the first input parameter. The method includes converting the primitive function to a target function according to the primitive function and the at least the first input parameter. The target function includes a converted first input parameter corresponding to the first input parameter, the plurality of first tensors are spliced into a second tensor for the converted first input parameter in the quantum circuit simulation. The method further includes obtaining an execution result of the target function according to at least the second tensor for the converted first input parameter, and performing the quantum circuit simulation based on the execution result of the target function.

Abstract: A computer system prepares an initial state of a quantum many-body system through a preparation circuit. The quantum many-body system includes a plurality of qubits. The system processes the initial state through a parameterized quantum circuit (PQC) to obtain an output state of the PQC. The output state of the PQC is used for representing an eigenstate of the quantum many-body system. The system measures the output state of the PQC through a measurement circuit. The system obtains a target parameter index based on a measurement result. The target parameter index is used for determining whether the quantum many-body system is in a many-body localization state. In accordance with a determination that the target parameter index satisfies a condition, the system determines that the quantum many-body system is in the many-body localization state.

Abstract: A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

Abstract: A quantum computing task processing method includes: performing transformation processing on input quantum states of n+m qubits through a parameterized quantum circuit, the n+m qubits including n task bits and m auxiliary bits; measuring output quantum states of the n+m qubits to obtain a bit string of the n+m qubits; updating parameters of the parameterized quantum circuit based on output quantum states of the n task bits when an auxiliary substring satisfies a post-selection condition and the parameterized quantum circuit has not converged, the auxiliary substring being a substring corresponding to the m auxiliary bits in the bit string; and obtaining a computing result of the target quantum computing task based on the output quantum states of the n task bits when the auxiliary substring satisfies the post-selection condition and the circuit has converged.

Abstract: An expectation value estimation method for a quantum system includes: acquiring an output quantum state of n qubits obtained from an input quantum state of the n qubits through a noisy parameterized quantum circuit (PQC); post-processing the output quantum state of the n qubits by using a neural network to obtain expectation values of a plurality of Pauli strings which are obtained by decomposing a target function; calculating an expectation value of the target function under the output quantum state of the n qubits according to the expectation values of the plurality of Pauli strings; adjusting at least a parameter of the neural network until the expectation value of the target function converges; and acquiring, when the expectation value of the target function satisfies a convergence condition, a convergent expectation value of the target function, the convergent expectation value being an expectation value that satisfies the convergence condition.

Abstract: A method includes: performing transformation processing on input quantum states of n qubits through a parameterized quantum circuit, to output quantum states of the n qubits, an expected energy value of Hamiltonian of a target quantum system in the output quantum states of the n qubits being a summation result of expected energy values of k Pauli strings obtained by decomposing the Hamiltonian, n and k being positive integers; performing post-processing on the output quantum states of the n qubits by using a neural network, and obtaining the expected energy value of the Hamiltonian by calculating a post-processing result of the neural network; adjusting parameters of the parameterized quantum circuit and parameters of the neural network while aiming to converge the expected energy value of the Hamiltonian; and determining the expected energy value of the Hamiltonian satisfying the convergence condition as ground state energy of the target quantum system.

Abstract: This disclosure discloses a method and apparatus for determining a quantum circuit. The method may include sampling an initial circuit unit pool according to an initial sampling manner to obtain initial K groups of circuit units and constructing and generating initial K candidate quantum circuits. The method may further include determining a performance evaluation index corresponding to the initial K candidate quantum circuits and updating the initial sampling manner and a circuit unit in the initial circuit unit pool based on the performance evaluation index, to obtain an updated sampling manner and an updated circuit unit pool. The method may further include sampling the updated circuit unit pool according to the updated sampling manner to obtain updated K groups of circuit units and constructing and generating updated K candidate quantum circuits. The method may further include determining a target quantum circuit from the updated K candidate quantum circuits.

Abstract: A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

Abstract: A pretreatment device for food safety detection, including: a base; a vortex oscillator disposed on the base; and a container holding mechanism disposed on the base and configured to hold a container such that the container is positioned above the vortex oscillator, wherein the vortex oscillator is configured to cooperate with the container holding mechanism to treat materials contained in the container. The present disclosure further provides a pretreatment method for food safety detection. By means of the pretreatment device and the pretreatment method according to the present disclosure, it can perform pretreatment work of food safety detection efficiently and simply, and save labor costs.

Abstract: A vehicle body composite coating, comprising, in succession, a polyurethane finishing coat, a polyurethane intermediate layer, a polyester putty and a micro-arc oxidation ceramic layer undercoat, wherein the micro-arc oxidation ceramic layer undercoat is on an aluminium substrate of the vehicle body. The design method of the vehicle body composite coating includes establishment of a physical model, selection of an optimal thickness ratio, preparation of the vehicle body composite coating and an erosion test. The vehicle body composite coating enhances the binding force between the whole coating system and the aluminium alloy substrate, reduces the possibility of shedding of the coating as a whole, and improves the anti-erosion performance of the vehicle body composite coating.

Abstract: A pretreatment device for food safety detection, including: a base; a vortex oscillator disposed on the base; and a container holding mechanism disposed on the base and configured to hold a container such that the container is positioned above the vortex oscillator, wherein the vortex oscillator is configured to cooperate with the container holding mechanism to treat materials contained in the container. The present disclosure further provides a pretreatment method for food safety detection. By means of the pretreatment device and the pretreatment method according to the present disclosure, it can perform pretreatment work of food safety detection efficiently and simply, and save labor costs.

Abstract: The present invention relates to a Raman-enhanced substrate fixing device and a Raman-enhanced detecting system. the Raman-enhanced substrate fixing device comprises a fixing base, wherein the fixing base is provided with a substrate receiving portion and a probe connecting portion, the substrate receiving portion is used for receiving a Raman-enhanced substrate, the probe connecting portion is used for connection with a probe of a Raman spectrometer, and the probe connecting portion and the substrate receiving portion are disposed such that light emitted by the probe is capable of being irradiated onto the Raman-enhanced substrate.

Abstract: A Raman spectrum-based object inspection apparatus and a Raman spectrum-based object inspection method are disclosed. In one aspect, an example apparatus includes: a laser device configured to emit a laser; an optical guiding device configured to guide the laser to an object to be detected and collect a Raman scattering light from the object. The apparatus includes a spectrum generator configured to receive the Raman scattering light collected by the optical guiding device and generate a Raman spectroscopic signal. The spectrum analyzer is configured to analyze the Raman spectroscopic signal to obtain an inspection result. The apparatus includes a monitoring device configured to monitor a state of the object and control an object inspection operation depending on the state of the object.

Abstract: The disclosed technology provides a laser security interlocking device and a corresponding method. In one aspect, an example laser security interlocking device includes a housing, a laser capable of emitting laser light in the housing and a laser light-emitting interlocking circuit, with the housing including a door capable of being opened or closed. When the door is closed, the housing can define an enclosed space within which the laser is positioned. The laser light-emitting interlocking circuit is configured to control the laser security interlocking device to automatically stop the laser emitting laser light before or while the door is opened.

Abstract: A welding clamping device includes a base plate and two positioning slide blocks, each of the positioning slide blocks includes a slide base and a cam, wherein the slide base includes a support plate and two cam holders fixed at two opposite ends of the support plate; the cam is rotatably mounted between the two cam holders via a camshaft for press-fitting a workpiece to be welded; and the base plate is provided with a slide slot, and the two positioning slide blocks are relatively slidably mounted in the slide slot. The device can better position a workpiece to be welded, improving welding quality; and clamping and unloading are easy and take a short time, improving welding efficiency.

Abstract: The disclosed technology provides a laser security interlocking device and a corresponding method. In one aspect, an example laser security interlocking device includes a housing, a laser capable of emitting laser light in the housing and a laser light-emitting interlocking circuit, with the housing including a door capable of being opened or closed. When the door is closed, the housing can define an enclosed space within which the laser is positioned. The laser light-emitting interlocking circuit is configured to control the laser security interlocking device to automatically stop the laser emitting laser light before or while the door is opened.

Abstract: A Raman spectrum-based object inspection apparatus and a Raman spectrum-based object inspection method are disclosed. In one aspect, an example apparatus includes: a laser device configured to emit a laser; an optical guiding device configured to guide the laser to an object to be detected and collect a Raman scattering light from the object. The apparatus includes a spectrum generator configured to receive the Raman scattering light collected by the optical guiding device and generate a Raman spectroscopic signal. The spectrum analyzer is configured to analyze the Raman spectroscopic signal to obtain an inspection result. The apparatus includes a monitoring device configured to monitor a state of the object and control an object inspection operation depending on the state of the object.

Abstract: A vehicle body composite coating, comprising, in succession, a polyurethane finishing coat, a polyurethane intermediate layer, a polyester putty and a micro-arc oxidation ceramic layer undercoat, wherein the micro-arc oxidation ceramic layer undercoat is on an aluminium substrate of the vehicle body. The design method of the vehicle body composite coating includes establishment of a physical model, selection of an optimal thickness ratio, preparation of the vehicle body composite coating and an erosion test. The vehicle body composite coating enhances the binding force between the whole coating system and the aluminium alloy substrate, reduces the possibility of shedding of the coating as a whole, and improves the anti-erosion performance of the vehicle body composite coating.

Abstract: Embodiments of the present invention provide a protective device including a sliding door and a housing, together forming a closed space, wherein, a guide rail is provided on the housing, and the sliding door is slidable along the guide rail to open or close the closed space. In addition, embodiments of the present invention also provide a laser Raman safety inspection apparatus including the abovementioned protective device.