Abstract: Arrangements for intelligent provisioning of quantum programs to quantum hardware are provided. In some aspects, a quantum program of a plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. The quantum program may be scanned and optimized for minimum quantum bit (qubit) consumption using one or more machine learning models. Based on an accuracy requirement of a quantum program output, a criticality level of the quantum program may be identified. In addition, a qubit count associated with the quantum program, indicating a number of qubits used to perform quantum processing of the quantum program, may be identified. Based on the identified criticality level and qubit count, an allocation of qubits together with target quantum hardware may be assigned for deploying the quantum program. The target quantum hardware may ingest the quantum program and perform quantum processing of the quantum program.

Abstract: The inventive subject matter is directed to pest detection systems that implement infrared emitters with detectors that look for variations in incident light indicative of wingbeats from various pests. Emitters and detectors are placed on one or more printed circuit boards such that infrared light projected from an emitter can be received by one or more detectors. Based on signal generated by a detector, systems of the inventive subject matter can determine whether a pest has flown between an emitter and detector. To save on power, emitter, detectors, or both can be driven by pulse-width modulation. Methods of the inventive subject matter are directed to determining pest presence via signal filtering and interpretation.

Abstract: Systems and methods are disclosed for determining a visual indicator for a package based on a delivery address for the package and a location of the delivery address along a delivery route. An optimized delivery route may be created for packages to be delivered at a given time. At the fulfillment center, a delivery system may label a package prior to loading the package on a delivery vehicle. The delivery system may determine the appropriate visual indicator (e.g., color and/or pattern) or the visual indicator may be randomly selected. The delivery system may generate a label having the visual indicator. The package may be deposited into a certain bin with other packages having a delivery address in close proximity. The delivery system may generate a user interface on a user device that indicates that the package has a certain visual indicator to facilitate sorting and identification of the package.

Abstract: A device that is configured to obtain an image of a document and to convert the image into a binary bit string. The device is further configured to iteratively select portions of the binary bit string, to determine a binary bit value for a selected portion of the binary bit string, and to identify a quantum logic gate from an encoding map based on the binary bit value. The encoding map is configured to map binary bit values to quantum logic gates. The device is further configured to add an identifier for the identified quantum logic gate to a set of encoding instructions. The encoding instructions contain commands for applying quantum logic gate operations to qubits. The device is further configured to send the set of encoding instructions to a quantum computing network device that is configured to generate qubits and to transmit qubits.

Abstract: Embodiments of the present invention provide a system for automatically generating and deploying graphical user interface components based on real-time sketches. The system is configured for determining that a user has accessed a sketch application via a user computing device, allowing the user to create one or more sketches in real-time via a user interface of the sketch application, determining that the user has created at least a first sketch, wherein the first sketch is associated with an application, extracting data from the first sketch, mapping the first sketch with a first user interface component based on the data extracted from the first sketch, generating the first user interface component, integrating a first source code of the first user interface component, testing the first user interface component, determining that testing of the first user interface component is successful, and deploying the first user interface component to a real-time environment.

Abstract: A system for dynamically analyzing and configuring nodes of a distributed network leveraging photonic quantum computing is provided. In particular, the system may be configured for identifying one or more nodes of a distributed register network, extracting metadata from the one or more nodes, monitoring the one or more nodes to detect changes to the one or more nodes, determining, via a deep learning network, anomalies associated with the one or more nodes based on the changes, determining target metrics and factors associated with the anomalies, creating simulation test scenarios based on the target metrics, factors, and anomalies, wherein the simulation test scenarios are associated with a plurality of configurations of the one or more nodes, executing the simulation test scenarios in parallel, via a quantum computer, and determining an optimal configuration for the one or more nodes from the plurality of configurations based on executing the simulation test scenarios.

Abstract: A card device receives a first sensor data from sensors associated with the card device and extracts a set of user features from the first sensor data, where the user features indicate physical attributes of the user. The card device receives a second sensor data from the sensors. The card device extracts a set of viewer features from the second sensor data, where the viewer features indicate physical attributes of the viewer. The card device compares at least one of the user features with a counterpart feature from among the viewer features. The card device determines that the user is not the viewer. The card device determines a distance between the viewer and the card device. The card device determines that the distance between the viewer and the card device is less than a threshold distance. In response, the card device dynamically masks the information displayed on the card device.

Abstract: A card device receives a first sensor data from sensors associated with the card device and extracts a set of user features from the first sensor data, where the user features indicate physical attributes of the user. The card device receives a second sensor data from the sensors. The card device extracts a set of viewer features from the second sensor data, where the viewer features indicate physical attributes of the viewer. The card device compares at least one of the user features with a counterpart feature from among the viewer features. The card device determines that the user is not the viewer. The card device determines a distance between the viewer and the card device. The card device determines that the distance between the viewer and the card device is less than a threshold distance. In response, the card device dynamically masks the information displayed on the card device.

Abstract: Systems and methods for securing a cryptocurrency asset transfer via a cross-blockchain bridge. Methods may include detecting a request to transfer the asset between blockchains and extracting a set of features such as smart contract bytecode from event logs associated with the blockchains and a blockchain bridge. Methods may include using a photonic quantum processor to use i) a long short-term neural network and ii) a neural network to generate machine learning models based on the extracted features to output i) a security risk threshold and ii) a security risk percentage, respectively. When the security risk percentage is below the security risk threshold, the method may permit the execution of a smart contract to allow transfer of the cryptocurrency asset over the blockchain bridge. When the security risk percentage is above the security risk threshold, the method may involve blocking an execution of a smart contract on the blockchain bridge.

Abstract: A system is presented for tracking user devices in a facility. Wireless signals and user information are communicated from user devices to a wireless device and a queue management server. The system determines location information for the user devices within a defined space at points in time. The system tracks the movement of the user devices within the defined space over a period based upon the location information. The system determines when user devices are within a threshold distance of corresponding resource devices based upon the determined location information. The system communicates user preference and profile information to the resource devices indicating that the user devices are within a threshold distance of the resource devices. The resource devices display customized information for user devices based upon user preference and profile information.

Abstract: An apparatus may be configured to detect radio-frequency (RF)-based attackers in a predetermined area. The apparatus may include a memory and a processor. The memory may be configured to store a baseline RF signature corresponding to an electric component located in the predetermined area. The processor may be configured to monitor first electronic operations of the electric component; and track a first RF signature corresponding to the first plurality of electronic operations of the electric component. The processor may be configured to determine that a new device is in the predetermined area; monitor a second plurality of electronic operations of the new device; and track a second RF signature corresponding to the second plurality of electronic operations of the new device. The processor may be configured to determine that the first RF signature comprises an anomaly in response to the first RF signature being different from the baseline RF.

Abstract: Systems and methods are disclosed for validating transactions executed by Internet of Things (IoT) devices leveraging non fungible tokens (NFTs) stored on a blockchain. The system generates a first NFT paired with metadata associated with an IoT device, a second NFT paired with metadata associated with a transaction requested by the IoT device, and a third NFT merging the first and second NFTs together. The NFTs are used in validation processes to ensure an IoT device and/or a transaction requested by an IoT device are valid. The NFTs are bound to smart contracts assigned one or more rules related to validating an IoT device and/or transaction requested by an IoT device. A transaction requested by an IoT device executes based on the validation processes.

Abstract: Systems and methods are disclosed for validating transactions executed by Internet of Things (IoT) devices leveraging non fungible tokens (NFTs) stored on a blockchain. The system generates a first NFT paired with metadata associated with an IoT device, a second NFT paired with metadata associated with a transaction requested by the IoT device, and a third NFT merging the first and second NFTs together. The NFTs are used in validation processes to ensure an IoT device and/or a transaction requested by an IoT device are valid. The NFTs are bound to smart contracts assigned one or more rules related to validating an IoT device and/or transaction requested by an IoT device. A transaction requested by an IoT device executes based on the validation processes.

Abstract: Systems, computer program products, and methods are described herein for generating individual records across multiple devices via an ultra-wideband connection. The method includes receiving a transfer request associated with a user. The method also includes determining a first transfer device. In an instance in which a first transfer device amount of the resource is less than the one or more units of the resource indicated by the transfer request, the method also includes determining a second transfer device. The method further includes creating a first transfer device non-fungible token for the first transfer device and a second transfer device non-fungible token for the second transfer device. A cumulative of the resource indicated by the first transfer device non-fungible token and the second transfer device non-fungible token are less than or equal to the one or more units of the resource indicated by the transfer request.

Abstract: An apparatus may be configured to detect radio-frequency (RF)-based attacks in a predetermined area. The server may include a memory and a processor. The memory may be configured to store a baseline RF signature corresponding to an electric component located in a predetermined area. The baseline RF signature may comprise an expected RF signature tracked from the electric component during a predetermined amount of time. The processor may be configured to monitor electronic operations of the electric component over the predetermined amount of time. The electric component may be located in the predetermined area. The processor may be configured to track an RF signature associated with the electric component. The processor may be configured to determine that the RF signature comprises an anomaly during the predetermined amount of time based at least in part upon the RF signature being different from the baseline RF signature corresponding to the electric component.

Abstract: A decentralized swarm intelligence algorithm over a network of paired ATMs to prevent or control surface attacks on ATMs. The ATMs may be seeded with an initial swarm intelligence model to identify suspicious activity. An ATM may relay alerts about suspicious activity at that ATM to other paired ATMs. The ATMs use machine learning to update the model and perform swarm intelligence autonomously at the paired ATMs. A bank may provide the initial swarm intelligence model, receive alerts about and analyze the attacks, and provide updated swarm intelligence models to prevent or limit future attacks. Smart contracts may be used to specify rules for performing swarm intelligence using the paired ATMs. Records regarding swarm intelligence models, attempted suspicious attacks including payment instruments that may have been used, actions taken in response to the attacks, and smart contracts may be recorded on a blockchain distributed ledger.

Abstract: A method for increasing the security of quick response (“QR”) code processing may include creating an inactive QR code. The inactive code may include an algorithmic code and a plurality of dynamic placeholders. The method may retrieve a scan of the inactive QR code using a QR code scanning device and also prevent the scan of the inactive QR code from being processed at the QR code scanning device. The method may receive the scan of the inactive QR code at a central server and interpret the algorithmic code to identify a plurality of non-fungible tokens (“NFTs”) for filling the plurality of dynamic placeholders. The method may fetch the plurality of NFTs and complete the incomplete QR code to form a complete QR code. The completing may include filling the plurality of dynamic placeholders with the plurality of NFTs and interpreting the complete QR code.

Abstract: Arrangements for intelligent orchestration of quantum programs using smart contracts linked to quantum program non-fungible tokens (NFTs) are provided. A plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. NFTs representing each of the plurality of quantum programs may be created and linked to a corresponding quantum program. The NFTs may be stored on a distributed ledger and controlled by smart contracts storing predefined acceptance rules based on which a quantum processing output is deployed to the digital computing device. A quantum program may be validated for respective target quantum hardware by validating the NFT associated with the quantum program. The respective target quantum hardware may ingest the validated quantum program and perform quantum processing. Responsive the output of quantum processing meeting the predefined acceptance criterion, the output of the quantum processing may be deployed in the digital computing device.

Abstract: Arrangements for optimizing quantum bit consumption of quantum programs are provided. In some aspects, a quantum program of a plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. The quantum program may be scanned and metadata associated with the quantum program may be parsed using machine learning. In some examples, the quantum program may be optimized by modifying quantum program code for minimum quantum bit consumption using machine learning. A criticality level of the quantum program may be determined based on contextual logic associated with the quantum program. Based on the determined criticality level, a priority sequence may be determined, indicating an order in which the plurality of quantum programs are to be deployed to the target quantum hardware. The quantum program may be transmitted to the target quantum hardware according to the priority sequence.

Abstract: A method for establishing an alternative transaction gateway when a default transaction network is down leveraging a network of low-orbit satellites is provided. The method may include creating, using an internet of things (“IoT”) device, a non-fungible token (“NFT”) associated with a transaction executed at the IoT device. The method may include storing the NFT at the IoT device pending proximity to a low-orbit satellite. The method may further include transmitting the NFT to a first low-orbit satellite when the first low-orbit satellite is within a first pre-determined proximity to the IoT device. The method may include, in response to receiving the NFT at the first low-orbit satellite, running a smart contract to identify an optimal pathway for transporting the NFT. The pathway may include the first low-orbit satellite and one or more additional low-orbit satellites from the network operating as carriers for the NFT to a centralized server.