Abstract: An entangled quantum system can be generated using entanglement-generating circuits that operate non-deterministically. Multiple instances of the entanglement generating circuit can be operated and outputs of successful instances can be propagated. The circuit can be implemented such that a photon that is part of the final output state passes through as few as one or two active switches from generation to the final output state.

Abstract: Quantum computing results can be stored in a quantum array of quantum-state carriers (QSCs) which must be read out in a form accessible to the classical world. The quantum array can be divided into regions that can be read in parallel. Each region is illuminated one QSC (e.g., atom) at a time and any resulting emissions are detected to determine the quantum state of each QSC and thus the value represented by the QSC. Multi-pixel superpixels are examined in each detection image to determine whether or not a respective QSC emitted in response to illumination. The field of view for each superpixel exceeds the area of the respective QSC, providing tolerance for misalignment of the photodetector relative to the quantum array.

Abstract: A method for quantum state transfer includes iteratively expanding an initial quantum state from an initial qudit, of a plurality of qudits, over a sequence of expanding domains. For each iteration, a quantum circuit is applied to the qudits belonging to a respective domain of the sequence. The quantum circuit transforms the qudits of the respective domain into an intermediate quantum state that includes a W state formed with the qudits of the respective domain. The last iteration generates a maximally expanded state. The method may also include iteratively compressing the maximally expanded state according to a sequence of contacting domains. After compressing, a final qudit, of the plurality of qudits, is in a final quantum state that approximates the initial quantum state.

Abstract: Various embodiments described herein provide systems and methods for identifying potentially erroneous transactions. A hardware processing device may receive user data indicative of historical actions taken by a user relative to transactions, automatically process the user data to generate a plurality of rules, and automatically apply the rules to a transaction to determine that the transaction is likely to be erroneous. An output device may output a notification to the user to indicate that the transaction is likely to be erroneous. The transaction may have a plurality of attributes, each of which falls within one of a plurality of categories. Automatically processing the user data may include analyzing historical actions of the user relative to historical transactions that also have the attributes. Automatically applying the rules to the transaction may include comparing the attributes of the transaction with the rules.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage medium, for processing parts using machine tool workstations. The machine tool workstations are grouped into multiple groups, where each group includes workstations of the same type. For each of the multiple groups, data representing parts to be processed by the type of workstations included in the group are transmitted to a combinatorial optimization problem solver. Data representing a sequence of ordered subsets of the multiple parts that produce a reduced setup time for the workstations in the group are received from the solver. An average delay time associated with the generated sequence of ordered subsets of the collection of parts is computed. If the average delay time is less than the predetermined threshold, parts are released according to the generated sequence of ordered subsets of the collection of parts to the group for processing.

Abstract: A method for performing an entangling operation between trapped ions in a quantum computer includes selecting an amount of infidelity that is allowed in an entangling operation between two trapped ions in a quantum computer, computing a pulse function of a pulse to be applied to each of the two trapped ions based on gate operation conditions and the selected amount of infidelity, generating the pulse based on the computed pulse function, and applying the generated pulse to each of the two trapped ions to perform the entangling operation between the two trapped ions.

Abstract: A quantum computing system for determining diagnostic solutions for detected faults in computing devices using at least quantum annealing is described. The quantum computing system takes advantage of superposition and entanglement properties of qubits. A plurality of qubits is initialized into states representing historical data associated with historical faults and historical diagnostic solutions. Couplers entangle the plurality of qubits together based on the detected fault, generating a set of states in uniform superposition. Biases influence the energy levels of the set of states based on the detected fault. The quantum computing system measures a state with the lowest energy level within the set of states to determine diagnostic solutions to the detected fault. The system may further leverage a blockchain ledger for securely storing and accessing historical data associated with historical faults and historical diagnostic solutions.

Abstract: Embodiments provide a system and method for performing collaborative learning of machine representations of a concept. During operation, the system can receive a user-specified object associated with a user's concept of interest. The system can compute a similarity score between a target feature vector associated with the user-specified object and a respective feature vector for a set of candidate objects. The system can determine, based on the similarity score, a first subset of candidate objects that satisfy a similarity threshold. The system can receive, via a GUI, a first user-feedback associated with a visual representation of the first subset of candidate objects. The first user-feedback can represent an elaboration of a current user's concept of interest. The system can then modify, based on the first user-feedback, the target feature vector and the similarity function, thereby providing an improved model for machine representations of a current user's concept of interest.

Abstract: An information collection system includes: a side-channel information processing unit that derives load information to estimate an impact on the availability of a target machine for active scanning by using side-channel data; an allow list generation unit that generates an allow list including a scan timing and a scan range in which the availability is not affected, the allow list generation unit generating the allow list based on the load information; and an allow list storage unit that stores the allow list. An active scan of the target machine is executed by referencing the allow list stored in the allow list storage unit to collect asset information of the target machine.

Abstract: A computing device including a processor configured to simulate a quantum device at least in part by receiving a single-particle Hamiltonian matrix that describes an initial Hamiltonian operator. The initial Hamiltonian operator may model a plurality of parts of a quantum device. Simulating the quantum device may further include estimating a reduced density matrix associated with a first part, estimating a plurality of eigenvectors and eigenvalues of the reduced density matrix, and generating a transformed Hamiltonian matrix. Generating the transformed Hamiltonian matrix may include transforming the single-particle Hamiltonian matrix into a natural-orbital basis of the first part such that the transformed Hamiltonian matrix has a reduced dimensionality. The natural-orbital basis may be spanned by a subset of the eigenvectors of the reduced density matrix.

Abstract: Disclosed herein are systems and uses of systems operating between fully quantum coherent and fully classical states. Examples include a hybrid quantum-classical computing system comprising a plurality of quantum processors connected via classical means.

Abstract: A system and method for establishing secure communications based on combined capabilities of classical and quantum computers. A system can perform encrypting, responsive to a request for client data associated with a client device, the client data using a cryptographic key to generate an encrypted data packet, transmitting the encrypted data packet to a second classical computer simulating a quantum computer operation, the encrypted data packet causing the second classical computer to begin a decryption process on the encrypted data packet to recover a decrypted data packet determining an absence of a response from the second classical computer occurring within a predefined window of time, the response comprising the decrypted data packet and transmitting, responsive to the absence of the response, the encrypted data packet to a quantum computer, the encrypted data packet causing the quantum computer to decrypt the encrypted data packet to recover a decrypted data packet.

Abstract: Provided is an information processing device including a control unit that performs: temporary label addition processing of adding a temporary label to a predetermined position on input data for machine learning; processing of generating label data in accordance with input of correction of the temporary label by a person in charge of labeling; and processing of comparing label data corrected by the person in charge of labeling with correct-answer label data that is acquired in advance, and calculating labeling accuracy of the person in charge of labeling.

Abstract: Disclosed herein is a method for facilitating determination of differences between a pair of regulatory documents. Accordingly, the method may include receiving a first regulatory document and a second regulatory document from a device, converting the first regulatory document and the second regulatory document from a source format to a preferred format, analyzing the first regulatory document and the second regulatory document of the preferred format, identifying first portions of the first regulatory document and second portions of the second regulatory document, classifying the first portions into first classification codes and the second portions into second classification codes, comparing the first classification codes with the second classification codes, determining a change associated with a first portion of the first portions, associating the change to the first portion, generating a combined annotated regulatory document, and transmitting the combined annotated regulatory document to the device.

Abstract: Disclosed herein is a method for facilitating classification of portions of a regulatory document using multiple classification codes.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. 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 output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

Abstract: The disclosure describes various aspects related to enabling effective multi-qubit operations, and more specifically, to techniques for enabling parallel multi-qubit operations on a universal ion trap quantum computer. In an aspect, a method of performing quantum operations in an ion trap quantum computer or trapped-ion quantum system includes implementing at least two parallel gates of a quantum circuit, each of the at least two parallel gates is a multi-qubit gate, each of the at least two parallel gates is implemented using a different set of ions of a plurality of ions in a ion trap, and the plurality of ions includes four or more ions. The method further includes simultaneously performing operations on the at least two parallel gates as part of the quantum operations. A trapped-ion quantum system and a computer-readable storage medium corresponding to the method described above are also disclosed.

Abstract: A provider computing system includes a network interface and a processing circuit including a processor structured to receive sets of fraud cases. The processor is structured to determine an updated priority score for each fraud case based on case prioritization data comprising rules developed using a machine learning model, initiate an action for each fraud case based on the updated priority score, where the action comprises assembling a first group of the fraud cases in a single database and taking an action on a second group of the fraud cases, assign the first group to a computing terminal associated with a fraud agent, receive an input from the computing terminal regarding a disposition of the first group of fraud cases, update the model based on the input and the transaction data, and restructure the case prioritization data based on the updated model.

Abstract: Systems and methods for operating one or more qubits in a quantum computing system are provided. In some examples, a method can include obtaining past time data associated with a temporal metric of an operating parameter of a qubit in a quantum device. The method can include selecting an operating parameter value based at least in part on the past time data associated with the temporal metric of the operating parameter to reduce likelihood of occurrence of a time dependent defect. The time dependent defect can exhibit a time dependent behavior. The method can include operating the qubit in the quantum device at the operating parameter value.

Abstract: A system and method to provide simulation augmented effects based event planning and management.

Abstract: Methods and apparatuses are described for automated intelligent detection and mitigation of cyber security threats. A server receives application log data from application servers and analyzes the log data to identify indicia of potential cyber security threats. The server executes a trained threat modeler against the log data and the indicia of potential cyber security threats to identify indicia of actual cyber security threats. The server determines whether a remediation action exists for the identified actual cyber security threats. If a remediation action exists: the server executes the remediation action at the application servers to resolve the actual cyber security threat. If a remediation action does not exist: the server generates remediation parameters based upon the indicia of the actual cyber security threat, generates source code for a software package based upon the remediation parameters, and executes the software package at the application servers to resolve the cyber security threat.

Abstract: Systems and methods are described for responding to a search query with a contextually relevant voice output. An illustrative method receives a search query, determines an answer to the search query, identifies a media content reference included in the search query, determines, based on the media content reference, a personality associated with the media content reference, identifies a voice profile of the personality, and generates audio output using the voice profile of the personality, the audio output including the answer to the search query.

Abstract: High-fidelity measurements of qubits are achieved by increasing a number of measurements taken by use of a swap operation and a readout qubit, deflating a bosonic qubit for which measurement outcomes are affected by single photon/phonon loss events, deflating a bosonic qubit enabling readout in other basis, and evolving the qubit under a Hamiltonian that couples a mode to be measured to another mode where the Hamiltonian is selected from a three wave mixing interaction, and/or a combination of these techniques.

Abstract: A quantum computing device comprises a surface code lattice that includes l logical qubits, where l is a positive integer. The surface code lattice is partitioned into two or more regions based on lattice geometry. A compression engine is coupled to each logical qubit of the l logical qubits. Each compression engine is configured to compress syndrome data generated by the surface code lattice using a geometry-based compression scheme. A decompression engine is coupled to each compression engine. Each decompression engine is configured to receive compressed syndrome data, decompress the received compressed syndrome data, and route the decompressed syndrome data to a decoder block.

Abstract: A method for machine learning includes extracting features from a training set of inputs, wherein each input generates a feature set and each the feature set forms a neural network key. The method includes arranging the keys in an in-memory computational layer such that the distance between any pair of keys corresponding to similar inputs is as close as possible while keys for a pair of dissimilar inputs have differing values as far apart as possible, wherein each of the keys has a fixed size. The method also includes searching through the dataset using an in-memory K-nearest neighbor unit to find K keys similar to a query key, the searching occurring in a constant amount of time as a function of the fixed size and irrespective of a size of the dataset.

Abstract: A computing system is provided, including a processor configured to identify a plurality of measurement sequences that implement a logic gate. Each measurement sequence may include a plurality of measurements of a quantum state of a topological quantum computing device. The processor may be further configured to determine a respective estimated total resource cost of each measurement sequence of the plurality of measurement sequences. The processor may be further configured to determine a first measurement sequence that has a lowest estimated total resource cost of the plurality of measurement sequences. The topological quantum computing device may be configured to implement the logic gate by applying the first measurement sequence to the quantum state.

Abstract: A method of preparing an entangled state of a plurality of qubits. The method comprises: (i) preparing an array of qubits, each qubit being in a ground qubit state and having an excited qubit state.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products structured for dynamic management of stored cache data based on usage information. The invention is structured for light-weight granular data caching based on construction of adapted hierarchical data objects with improved indexing, for reducing memory and processing burdens on data caching servers and reducing turnaround time for activity execution. Specifically, the invention is configured to trigger, via the proactive processor, retrieval of truncated technology data for caching from a usage database based on the adapted truncated cache data retrieval command; and construct a plurality of adapted hierarchical cache data objects, for each of the plurality of users, and cache the constructed plurality of adapted hierarchical cache data objects, for each of the plurality of users, in the distributed cache layer in a distributed cache layer.

Abstract: The present disclosure provides a packing method including following steps. Genetic algorithm is utilized to calculate multiple packing programs. Multiple candidate packing programs including all items are selected from the packing programs. Among each of the candidate packing programs, at least one of the items to be placed earlier is classified into a first subset, and at least another one of the items to be placed later is classified into a second subset. Among each of the candidate packing programs, a first packing for the first subset is maintained, and a second packing for the second subset is recalculated by using a greedy algorithm to generate an updated second packing.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate estimation of an expected energy value of a Hamiltonian based on data of the Hamiltonian, the quantum state produced by a quantum device and/or entangled measurements 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 a selection component that selects a quantum state measurement basis having a probability defined based on a ratio of a Pauli operator in a Hamiltonian of a quantum system. The computer executable components can further comprise a measurement component that captures a quantum state measurement of a qubit in the quantum system based on the quantum state measurement basis.

Abstract: A quantum computing system and methods for performing fault-tolerant quantum computing. A fusion controller sequentially performs a series of fusion measurements on different fusion sites of a plurality of fusion sites to obtain a respective series of classical measurement results. The series of fusion measurements is performed on quantum modes of a logical qubit. For respective fusion measurements of the series of fusion measurements, a basis for performing the respective fusion measurement is selected based on classical measurement results of previous fusion measurements. The series of classical measurement results are in the memory medium.

Abstract: The present disclosure provides an on-device machine learning platform that enables sharing of machine-learned models between applications on a computing device. For example, a first application which has a machine-learned model for a specific task can expose the model to other applications through a system level application programming interface (API) for the other applications to use. Communications using the API can be handled by the on-device machine learning platform. In some implementations, some exchange of resources (e.g., computing resources) can be provided so that the first application is compensated for sharing the machine-learned model (e.g., on a per model invocation basis).

Abstract: Methods, systems, and computer program products for an automated resource request mechanism for heterogeneous infrastructure using profiling information are provided herein.

Abstract: A document analysis system (100) for use by legal or business users is described. The system (100) includes a number of user devices 102 that communicate with a processing platform (104) to upload documents and receive reports concerning the documents. The illustrated platform (104) includes a processor (112), a document database (114), a preprocessing module (115), a machine learning module (116), a repository for analytics (118), and a report generator (120). A user can upload contracts or other documents to the platform (104) and receive scoring and ratings information for the contract.

Abstract: A quantum processor includes: a first chip comprising a qubit array, in which a plurality of qubits within the qubit array define an enclosed region on the first chip, in which each qubit of the plurality of qubits that define the enclosed region is arranged to directly electromagnetically couple to an adjacent qubit of the plurality of qubits that define the enclosed region, and in which each qubit of the qubit array comprises at least two superconductor islands, and a second chip bonded to the first chip, the second chip including one or more qubit control elements, in which the qubit control elements are positioned directly over the enclosed region of the first chip.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for messaging in a wireless communications system using neural networks. An example method generally includes receiving a first message and a second message, wherein the second message comprises a secret message to be hidden in the first message. The first message and second message are combined into a combined message. An emulation message is generated through an encoder neural network based on the combined message. The emulation message generally comprises a message decodable by a receiving device into the first message. The emulation message is output emulation message for transmission to the receiving device.

Abstract: Systems and techniques that facilitate partitioned template matching and/or symbolic peephole optimization are provided. In various embodiments, a system can comprise a template component, which can perform template matching on a Clifford circuit associated with a set of qubits. In various aspects, the system can comprise a partition component, which can partition, prior to the template matching, the Clifford circuit into a computation stage, a Pauli stage, and a SWAP stage. In various instances, the template matching can be performed on the computation stage. In various embodiments, the system can comprise a symbolic component, which can select a subset of qubits from the set of qubits, rewrite at least one entangling gate in the computation stage such that a target of the at least one entangling gate is in the subset of qubits, and replace the at least one rewired entangling gate with a symbolic Pauli gate.

Abstract: An apparel patternmaking software that allows the user to select from a plurality of templates for a variety of slopers that can be used to create a customized, made to measure digital sewing pattern for various articles of clothing. The user is asked to provide measurements that can be manually measured or imported from a body scanner or both. Further, the user is prompted to review a list of default, pre-defined design choices for how to adjust a sloper based on the relationship of the inputted measurements with each other (e.g., if the waist is wider than the hip measurement or if the waist is narrower than the hip measurement). The user is allowed to add new conditions and default design choices to edit and alter the sloper. The sloper is automatically adjusted to accommodate the entered set of measurements.

Abstract: A method for power saving and encryption during analysis of media captured by an information capture device using a partitioned neural network includes replicating, by an information capture device, an artificial neural network (ANN) from a computer server to the information capture device. The ANN on the computer server and a replicated ANN, both, include M layers. The method further includes, in response to captured data being input to be processed, partially processing, by the information capture device, the captured data by executing a first k layers using the replicated ANN, wherein only the k layers are selected to execute on the information capture device. The method further includes transmitting, by the information capture device, an output of the k-th layer to the computer server, which partially processes the captured data by executing the remainder of the M layers using the ANN and the output of the k-th layer.

Abstract: A system and method for training a student employ a simulation station that displays output to the student and receives input. The computer system has a rules engine operating on it and computer accessible data storage storing (i) learning object data including learning objects configured to provide interaction with the student at the simulation system and (ii) rule data defining a plurality of rules accessed by the rules engine. The rules data includes, for each rule, respective (a) if-portion data defining a condition of data and (b) then-portion data defining an action to be performed at the simulation station. The rules engine causes the computer system to perform the action when the condition of data is present in the data storage. For at least some of the rules, the action comprises output of one of the learning objects so as to interact with the student. The system may be networked with middleware and adapters that map data received over the network to rules engine memory.

Abstract: Adapted positioning information is provided towards at least one consuming application regarding a plurality of objects. In a first step, the position of at least one specific object is detected using at least one sensor of a sensor layer or functionality, thereby generating at least one piece of preliminary positioning information. In a second step, subsequent to the first step, a positioning middleware functionality generates at least one piece of adapted positioning information, based on the at least one piece of preliminary positioning information, and based on a priori knowledge. In a third step, subsequent to the second step, the at least one piece of adapted positioning information is provided to the at least one consuming application.

Abstract: Methods and computer-readable media for repeated holdout validation include collecting independent data representing independent variables; collecting dependent data representing a dependent variable; correlating the independent data with the dependent data; creating a data set comprising the correlated independent and dependent data; generating a plurality of unique seeds; creating a plurality of training sets and a plurality of validation sets; associating each training set with a single validation set; training the neural network a plurality of times with the training sets and seeds to create a plurality of models; calculating accuracy metric values for the models using the validation sets associated with the training sets used to create respective models; performing a statistical analysis of the accuracy metric values; and ranking the independent variables by a strength of correlation of individual independent variables with the dependent variable, when a metric of the statistical analysis exceeds a thres

Abstract: An artificial intelligence node including a classical computer, an input channel and an output channel in communication with the classical compute and a quantum computer in two-way communication with the classical computer, wherein the classical computer configures the quantum computer to encode a plurality of word combinations.

Abstract: A data storage device in a mobile body defines a normal world and a secure world and stores a data acquired in the mobile body using a blockchain. The data storage device includes: a normal storage processing unit that stores an acquired data in a storage area of the normal world; a block generator that generates a new block including a hash value based on a last block coupled at last to the blockchain, and a hash value based on the acquired data; and a secure storage processing unit that stores a hash value based on the new block as a block hash value in a storage area of the secure world.

Abstract: This disclosure relates to methods of constructing efficient quantum circuits for Clifford loaders and variations of these methods following a similar scheme.

Abstract: Systems and methods of procuring real data items based on user affinity gauged via synthetic data items are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: utilizing a trained machine learning model to generate a synthetic data item based on real user data; presenting the synthetic data item to those users; obtaining indications identifying user responses to the synthetic data item; obtaining user-defined control parameters from the users; configuring a user-defined control mechanism to share a portion of the real user data based thereon; obtaining a subset of the real user data based the user-defined control parameters; providing to a particular third-party data source at least one of: data regarding the synthetic data item, the at least one portion of the real user data, and the indications of the users; and then receiving a second real data item from the particular third-party data source.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Abstract: Systems and methods of modeling the structure and behavior of the quantum continuum based on geometrical principles are provided. In some embodiments, systems and methods of modeling quantum structure and behavior may include modeling a region of space as a three-dimensional projection of a field of N-dimensional hard-spheres, modeling a stable particle within the region of space as a locally stably packed set of hard-spheres, defining an energy subspace comprising one or more additional dimensions, and modeling an energy of the stable particle as an amount of hard-sphere geometry shifted out of the three spatial dimensions into the energy subspace sufficient for the set of hard-spheres to pack stably. Systems and methods for modeling virtual particles and performing quantum communication are also described.

Abstract: Displaying a comparison of genetic data is disclosed, including receiving an indication of a first individual, receiving an indication of a second individual, retrieving the genotypic information for the first individual and the second individual, comparing the genotypic information of the first individual and the second individual, displaying an indication of the comparison of the genotypic information of the first individual and the second individual graphically. A first graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are identical. A second graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are half identical.