Lucke, Andreas

A system for analyzing a source code of an industrial control program comprises a memory unit for providing at least a portion of the source code of the industrial control program, wherein the portion comprises at least a first plurality of input variables and at least a second plurality of output variables. The system further comprises an analysis unit for determining, for at least one output variable among the second plurality of output variables, which of the input variables among the first plurality of input variables affects the output variable; and/or for determining, for at least one input variable among the first plurality of input variables, which of the output variables among the second plurality of output variables is affected by the input variable.

A method for fabricating an analysis device is provided. The analysis device comprises a capillary tube and hydrogel elements on an inner surface of the capillary tube. The hydrogel elements comprise a hydrogel and a binding agent for immobilizing an analyte from a fluid. The method comprises providing parallel flows of fluids in the capillary tube. The parallel flows of fluids comprise a first flow of a first fluid on the inner surface of the capillary tube. The first fluid comprises a hydrogel precursor and the binding agent. The method further comprises stopping the parallel flows of fluids in the capillary tube. The method also comprises providing, through a lithographic mask, blue or UV light in the capillary tube to photopolymerize at least a portion of the hydrogel precursor comprised in the first fluid, thereby forming, on the inner surface of the capillary tube, the hydrogel elements comprising the hydrogel and the binding agent.

Disclosed herein is a method, a computer program and an apparatus for antibiotic susceptibility testing of a bacterial sample. The method comprises determining a size of an inhibition zone that is formed when the sample is applied to a substrate and the sample on the substrate is exposed to an antibiotic; determining a concentration measure characterizing a sample concentration of bacteria in the sample; and assessing a susceptibility of the sample to said antibiotic using a predictive model configured to relate, based on the concentration measure, a size of the inhibition zone associated with the sample concentration to a size of the inhibition zone associated with a reference concentration of bacteria and/or vice-versa.

The disclosure relates to a method and a communication system for establishing a plurality of secret cryptographic keys shared between a sending unit and a plurality of receiving units, wherein the sending unit is connected to the plurality of receiving units by a plurality of communication channels. The method comprises transmitting, at the sending unit, a first sequence of electromagnetic signal pulses to a first receiving unit among the plurality of receiving units via a first communication channel among the plurality of communication channels for establishing a first cryptographic key shared between the sending unit and the first receiving unit, wherein each electromagnetic signal pulse of the first sequence of electromagnetic signal pulses corresponds to a bit of a first random bit sequence according to a key distribution protocol. The method further comprises transmitting, at the sending unit, a second sequence of electromagnetic signal pulses to a second receiving unit among the plurality of receiving units via a second communication channel among the plurality of communication channels for establishing a second cryptographic key shared between the sending unit and the second receiving unit, wherein each electromagnetic signal pulse of the second sequence of electromagnetic signal pulses corresponds to a bit of a second random bit sequence according to the key distribution protocol. The method further comprises determining a first key bandwidth share for the first sequence of electromagnetic signal pulses, and determining a second key bandwidth share for the second sequence of electromagnetic signal pulses, wherein the first key bandwidth share and the second key bandwidth share are determined by means of an optimization, wherein an optimization functional of the optimization depends on a user-selected distribution parameter that reflects a degree of uniformity in the amount of the first and second secret cryptographic keys shared with the first receiving unit and the second receiving unit, respectively.

The disclosure relates to a method for establishing a plurality of secret cryptographic keys shared between a sending unit and a plurality of receiving units, wherein the sending unit is connected to the plurality of receiving units by a plurality of communication channels. The method comprises transmitting, at the sending unit, at least one first electromagnetic test pulse to a first receiving unit among the plurality of receiving units via a first communication channel among the plurality of communication channels, and determining a first signal loss in the first communication channel based on the at least one first electromagnetic test pulse detected at the first receiving unit. The method further comprises transmitting, at the sending unit, a first sequence of electromagnetic signal pulses to the first receiving unit via the first communication channel for establishing a first cryptographic key shared between the sending unit and the first receiving unit, wherein each electromagnetic signal pulse of the first sequence of electromagnetic signal pulses corresponds to a bit of a random bit sequence according to a key distribution protocol. The method further comprises transmitting, at the sending unit, at least one second electromagnetic test pulse to a second receiving unit among the plurality of receiving units via a second communication channel among the plurality of communication channels, and determining a second signal loss in the second communication channel based on the at least one second electromagnetic test pulse detected at the second receiving unit. The method further comprises determining a first key bandwidth share for the first sequence of electromagnetic signal pulses, wherein both the determined first signal loss and the determined second signal loss are taken into account for determining the first key bandwidth share.

The invention relates to a computer-implemented method for approximating at least two unknown variables (10) of a set of partial differential equations using a quantum physics-informed neural network (100), the method comprising the steps: providing a numerical grid (20) having grid coordinates (30) at which the unknown variables (10) are to be approximated; providing a quantum physics-informed neural network (100), the quantum physics-informed neural network (100) comprising a hybrid network (110) for each unknown variable (10), wherein the hybrid networks (110) are not interconnected to each other, each hybrid network (110) having a quantum network (120) having at least one quantum layer (130) and a classical network (140) having at least one classical layer (150), wherein the respective quantum network (120) and the respective classical network (140) are not interconnected; inputting the grid coordinates (30) into the quantum physics-informed neural network (100), such that the grid coordinates (30) are input to each hybrid network (110); and computing the output (H_out) of each hybrid network (110) for each grid coordinate (30), each output (H_out) corresponding to a different unknown variable (10) to be approximated at the grid coordinate (30), wherein the output (H_out) of each hybrid network (110) is obtained by combining an output of the respective quantum network (Q_out) and an output of the respective classical network (C_out) of said hybrid network (110). The invention further relates to a hybrid computing system, a computer program product and a computer-readable medium.

A computer-implemented method for setting control parameters to stabilize a target observable towards a setpoint, comprising obtaining an oracle for predicting the target observable at a targeted future point in time given a scheduled set of control parameters, receiving, by a controller machine learning model, a slice of previous time-series data of the target observable and control parameters, and predicting, by the controller machine learning model, the scheduled set of control parameters to be set prior to the targeted future point in time given the slice of previous time-series data, determining, by the oracle, the target observable for the scheduled set of control parameters, and updating weights of the controller machine learning model based the difference between the setpoint and the target observable determined by the oracle, and setting the control parameters based on the scheduled set of control parameters.

The present disclosure relates to a method, a processing system, a hybrid quantum-classical computing system and a computer program for encoding a data point for processing by a quantum circuit. The method comprises mapping the data point onto a weight distribution assigning a respective weight to each of a set of initial states for the quantum circuit; for some or all of the initial states, repeatedly running the quantum circuit using the respective initial state as an input to the quantum circuit to determine a measurement outcome of an observable for the respective initial state based on an output of the quantum circuit; and determining a processing result for the data point based on the determined measurement outcomes and the weight distribution.

The disclosure relates to method of converting an optimization functional for a binary optimization problem into a cost function for a quantum computation. The method comprises representing a first optimization variable among a plurality of binary optimization variables of the optimization functional as a first product of binary transformed variables, wherein the first product comprises a first plurality of factors, wherein each factor among the first plurality of factors corresponds to a subset of the plurality of optimization variables that includes the first optimization variable. The method further comprises converting each of the binary optimization variables or the binary transformed variables into a continuous variable; converting the optimization functional into the cost function, wherein the cost function comprises the transformed and continuous variables; and selecting a plurality of the subsets for the quantum computation.

The present disclosure provides a method and apparatus for transmitting an image, a computer-readable storage medium, and a computer program product, relating to the technical fields of artificial intelligence such as image compression, computer vision, and autonomous driving. A specific implementation of the method includes: determining a collection environment corresponding to a target image based on a collection position of the target image in an electronic map; determining a target bit rate based on the collection environment; compressing the target image based on the target bit rate to obtain a compressed image; and uploading the compressed image to a target device based on a preset communication path. In this way, the collection environment can be evaluated through a collection position of the image, and the bit rate used when the image is uploaded can be dynamically adjusted based on differences in the collection environment. This enables, on the premise of ensuring the use quality of the uploaded image, reducing the amount of transmission resources used during the image upload process and lowering bandwidth requirements during the transmission process.