Abstract: A method for parallelization of a numeric optimizer includes detecting an initialization of a numeric optimization process of a given function. The method computes a vector-distance between an input vector and a first neighbor vector of a set of neighbor vectors. The method predicts, using the computed vector-distance, a subset of the set of neighbor vectors. The method pre-computes, in a parallel processing system, a set of evaluation values in parallel, each evaluation value corresponding to one of the subset of the set of neighbor vectors. The method detects a computation request from the numeric optimization process, the computation request involving at least one of the set of evaluation values. The method supplies, in response to receiving the computation request, and without performing a computation of the computation request, a parallelly pre-computed evaluation value from the set of evaluation values to the numeric optimization process.

Abstract: In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate automated survey results generation from an image are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an image capturing component that captures a first sample image. The computer executable components can further comprise an image processing component that processes the first sample image to determine a survey count, wherein the survey count indicates a number of times a survey image was identified in the first sample image. The computer executable components can further comprise an authentication component that adjusts the survey count based on detection of a discrepancy.

Abstract: A method includes detecting submission of a first quantum circuit for compilation, the first quantum circuit comprising a first set of quantum logic gates; generating a first gate index, the first gate index comprising an ordered table of a subset of the set of quantum logic gates, each quantum logic gate of the subset of quantum logic gates including a corresponding set of qubits acted on by the quantum logic gate; comparing the first gate index with a second gate index to determine a structural equality of the first quantum circuit and the second quantum circuit; and parameterizing, in response to determining a structural equality of the first quantum circuit and the second quantum circuit, a first set of parameters of a second set of quantum logic gates of the second quantum circuit with a second set of parameters of the first set of quantum logic gates.

Abstract: Techniques regarding quantum computation of molecular excited states are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can categorize a plurality of excited operators from a mapped qubit Hamiltonian into sectors based on a commutation property of the plurality of excited operators with a symmetry from the mapped qubit Hamiltonian. The computer executable components can also comprise a matrix component that can generate an equation of motion matrix from an excited operator from the plurality of excited operators based on the sectors categorized by the initialization component.

Abstract: A method for parallelization of a numeric optimizer includes detecting an initialization of a numeric optimization process of a given function. The method computes a vector-distance between an input vector and a first neighbor vector of a set of neighbor vectors. The method predicts, using the computed vector-distance, a subset of the set of neighbor vectors. The method pre-computes, in a parallel processing system, a set of evaluation values in parallel, each evaluation value corresponding to one of the subset of the set of neighbor vectors. The method detects a computation request from the numeric optimization process, the computation request involving at least one of the set of evaluation values. The method supplies, in response to receiving the computation request, and without performing a computation of the computation request, a parallelly pre-computed evaluation value from the set of evaluation values to the numeric optimization process.

Abstract: Techniques regarding quantum algorithm concatenation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a concatenation component, operatively coupled to the processor, that can concatenate a first quantum algorithm and a second quantum algorithm by using an output of the first quantum algorithm as an initial parameter in the second quantum algorithm.

Abstract: A method of providing updates from a social network to a desktop application is provided. An update is created in an application and if the application has permission, it creates an entry in a recent activity queue. The queue is then subject to analysis to reduce the number of entries in the queue. Subscribers that have permission to receive updates from the publisher and the publishing application then receive updates from the publisher.

Abstract: A method for bootstrapping a variational algorithm for quantum computing includes performing, using a quantum processor, a first iteration of a variational algorithm on a first wavefunction to compute a first expectation value of a first quantum system corresponding to a solution of the first iteration, the first wavefunction corresponding to a first quantum state of the first quantum system, the first expectation value comprising an energy of the first quantum state. The embodiment includes generating, based on the solution of the first iteration a second wavefunction as output of the first iteration of the variational algorithm, the second wavefunction corresponding to a second quantum state of the first quantum system.

Abstract: From a quantum program a first mutant is generated using a processor and a memory, where the first mutant is a randomly-generated transformation of the quantum program. A quality score, a correctness distance, and a probability of acceptance corresponding to the first mutant are computed. An acceptance corresponding to the first mutant is determined according to the probability of acceptance. Upon determining that an acceptance of the first mutant corresponding to the probability of acceptance exceeds an acceptance threshold, the quantum program is replaced with the first mutant. Upon determining that the quality score exceeds a storage threshold and that the correctness distance is zero, the first mutant is stored. These actions are iterated until reaching an iteration limit.

Abstract: An image data is convolved with one or more kernels and corresponding one or more feature maps generated. Region of interest maps are extracted from the one or more feature maps, and pooled based on one or more features selected as selective features. Pooling generates a feature vector with dimensionality less than a dimensionality associated with the one or more feature maps. The feature vector is flattened and input as a layer in a neural network. The neural network outputs a classification associated with an object in the image data.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for multiscale representation of input data. A non-limiting example of the computer-implemented method includes a processor receiving an original input. The processor downsamples the original input into a downscaled input. The processor runs a first convolutional neural network (“CNN”) on the downscaled input. The processor runs a second CNN on the original input, where the second CNN has fewer layers than the first CNN. The processor merges the output of the first CNN with the output of the second CNN and provides a result following the merging of the outputs.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate quantum domain computation of classical domain specifications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an input transformation component that can be adapted to receive one or more types of domain-specific input data corresponding to at least one of a plurality of domains. The input transformation component can transform the one or more types of domain-specific input data to quantum-based input data. The computer executable components can further comprise a circuit generator component that, based on the quantum-based input data, can generate a quantum circuit.

Abstract: Provided herein are compositions, methods, and systems for sample processing and/or data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample from a human, non-human, and combinations thereof.

Abstract: Methods, systems, and devices for image processing are described. A device may detect a spotlight in an exposure of a scene based at least in part on one or more auto-exposure statistics for the exposure. The device may determine a lens position for a sensor of the device based at least in part on detecting the spotlight. The device may capture, by the sensor and based on the lens position, a pixel array representing the scene. The device may adjust image processing parameters of an automatic white balance stage or a contrast enhancement stage of an image processing pipeline based at least in part on the detected spotlight. The device may generate a color-corrected image by passing the pixel array through the image processing pipeline. The device may output the color-corrected image.

Abstract: An electronic component package includes a substrate and an electronic component mounted to the substrate, the electronic component including a bond pad. A first antenna terminal is electrically connected to the bond pad, the first antenna terminal being electrically connected to a second antenna terminal of the substrate. A package body encloses the electronic component, the package body having a principal surface. An antenna is formed on the principal surface by applying an electrically conductive coating. An embedded interconnect extends through the package body between the substrate and the principal surface and electrically connects the second antenna terminal to the antenna. Applying an electrically conductive coating to form the antenna is relatively simple thus minimizing the overall package manufacturing cost. Further, the antenna is relatively thin thus minimizing the overall package size.

Abstract: The present disclosure provides methods and systems for personalized genetic testing of a subject. In some embodiments, a sequencing assay is performed on a biological sample from the subject, which then leads to genetic information related to the subject. Next, nucleic acid molecules are array-synthesized or selected based on the genetic information derived from data of the sequencing assay. At least some of the nucleic acid molecules may then be used in an assay which may provide additional information on one or more biological samples from the subject or a biological relative of the subject.

Abstract: An electronic component package includes a substrate and an electronic component mounted to the substrate, the electronic component including a bond pad. A first antenna terminal is electrically connected to the bond pad, the first antenna terminal being electrically connected to a second antenna terminal of the substrate. A package body encloses the electronic component, the package body having a principal surface. An antenna is formed on the principal surface by applying an electrically conductive coating. An embedded interconnect extends through the package body between the substrate and the principal surface and electrically connects the second antenna terminal to the antenna. Applying an electrically conductive coating to form the antenna is relatively simple thus minimizing the overall package manufacturing cost. Further, the antenna is relatively thin thus minimizing the overall package size.

Abstract: This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Abstract: A system and method are provided for non-transmission specification fair air-time, NT-AirFair, allocation control by tracking the transmission time consumed by each link to detect any increase and enforcing air-time allocation based on the pattern of usage derived therefrom.

Abstract: Aspects of the present disclosure relate to systems and methods for performing autofocus. An example device may include a processor and a memory. The processor may be configured to receive a first image captured by a camera, determine a first ROI for the first image, receive a second image captured by the camera after capturing the first image, determine a second ROI for the second image, compare the first ROI and the second ROI, and delay a determination of a final focal length based on the comparison of the first ROI and the second ROI.