Abstract: Techniques facilitating dynamic control of ZZ interactions for quantum computing devices. In one example, a quantum coupling device can comprise a biasing component that is operatively coupled to first and second qubits via respective first and second drive lines. The biasing component can facilitate dynamic control of ZZ interactions between the first and second qubits using off-resonant microwave signals applied via the respective first and second drive lines.

Abstract: A method, a computer program product, and a computer system selectively obfuscate a reaction during a communication session. The method includes determining a predicted sentiment for a user who is a participant in a communication session based on a topic being discussed in the communication session. The method includes determining a predicted expression for a reaction to be exhibited by the user based on sensory inputs received from the user while the topic is being discussed. The method includes determining an intent of the reaction based on the predicted sentiment and the predicted expression. The method includes determining a reward score of the reaction based on a type of the reaction and a context of the communication session while the predicted expression is to be exhibited. The method includes rendering a mask over the user based on at least one of the intent and the reward score.

Abstract: A method of detecting leakage of a data qubit includes applying a first cross-resonance pulse to the data qubit, the data qubit including a first state and a second state; applying a first echo pulse to the data qubit temporally following the applied first cross-resonance pulse; applying a second cross-resonance pulse to the data qubit temporally following the applied first echo pulse, the second cross-resonance pulse being an inverted form of the first cross-resonance pulse; applying a second echo pulse to the data qubit temporally following the second cross-resonance pulse; and detecting a leakage associated with the data qubit using an ancilla qubit coupled to the data qubit based on application of the first and second cross-resonance pulses, and the first and second echo pulses.

Abstract: A computer-implemented method includes receiving a strategy associated with a new machine-learning (ML) project. There exist a plurality of ML projects, each of which includes artifacts, and for each such candidate project, the following are performed: iterations of the candidate ML project are divided into a first phase, including a first set of iterations, and a second phase, including a second set of iterations; a workload to generate the candidate ML project in the first phase is determined; a performance of the candidate ML project in the first phase is determined; an additional workload to generate the candidate ML project in the second phase is determined; and an increased performance of the candidate ML project in the second phase is determined. Final ML projects are selected from the candidate ML projects, based on the strategy. Artifacts of the final ML projects are incorporated into the new ML project.

Abstract: Embodiments of the invention are directed to a computer-implemented method of for parallel conversion to binary coded decimal format. The method includes receiving, by a floating point unit (FPU), a value in binary floating point (BFP) format. The BFP value includes an integer part and a fractional part. The FPU converts the BFP value to a binary coded decimal (BCD) value. In parallel to converting the BFP value to a BCD value, the FPU performs a rounding operation on the BFP value. The FPU receives the rounding information and operates on the BCD value accordingly.

Abstract: Compressing data includes hashing a first token length of an incoming data steam into a hash table, where the first token length includes a plurality of bytes. A second token length of the incoming data stream may be hashed into the hash table. The second token may be larger than the first token length and includes the plurality of bytes. The method may further include automatically comparing which token length enabled more efficient data compression, and automatically adjusting at least one of the first and second token lengths based on the comparison.

Abstract: An example operation may include one or more of receiving an identification of vendor resources held by each of a plurality of members of a social network, extracting respective preference information of the plurality of members from web pages associated with the plurality of members on the social network, automatically determining to exchange resources of a first vendor issued to a first member of the social network with resources of a second vender issued to a second member of the social network based on extracted preference information of the first and second members, and triggering execution of the exchange of resources via one or more blockchain computing networks associated with the social network.

Abstract: Techniques regarding determining device operability via a metal-induced layer exchange are provided. For example, one or more embodiments described herein can comprise an apparatus, which can comprise a dielectric membrane positioned between an amorphous semiconductor resistor layer and an electrically conductive metal layer. The dielectric membrane can facilitate a metal induced layer exchange that can experiences catalyzation by heat generated from operation of a semiconductor device positioned adjacent to the apparatus.

Abstract: An approach is provided in which the approach receives a set of unchangeable product documentation corresponding to a product that is unalterable by a user. The approach converts a set of user content received from the user into a format compatible with the set of unchangeable product documentation, and integrates the formatted set of user content with the set of unchangeable product documentation into a user interface. The approach displays the user interface on a display.

Abstract: A method of forming stacked fin field effect devices is provided. The method includes forming a layer stack on a substrate, wherein the layer stack includes a first semiconductor layer on a surface of the substrate, a second semiconductor layer on the first semiconductor layer, a third semiconductor layer on the second semiconductor layer, a separation layer on the third semiconductor layer, a fourth semiconductor layer on the separation layer, a fifth semiconductor layer on the fourth semiconductor layer, and a sixth semiconductor layer on the fifth semiconductor layer. The method further includes forming a plurality of channels through the layer stack to the surface of the substrate, and removing portions of the second semiconductor layer and fifth semiconductor layer to form lateral grooves.

Abstract: Embodiments are directed to a method of forming a laminated magnetic inductor and resulting structures having anisotropic magnetic layers. A first magnetic stack is formed having one or more magnetic layers alternating with one or more insulating layers. A trench is formed in the first magnetic stack oriented such that an axis of the trench is perpendicular to a hard axis of the magnetic inductor. The trench is filled with a dielectric material.

Abstract: A user profile associated with a first user is received. A user prescription associated with the first user is received. A historical interaction of the first user with a display is received. A global vision model is received. One or more display sets to be used on the display is determined based on at least the user profile, the user prescription, the global vision model, and the historical interaction.

Abstract: Embodiments of the present invention relate to a method, system and computer program product for compacting data in a distributed storage system. According to the method, a query request is received from a client, wherein the query request comprises information of a previous query request of the client. A first query result of the query request and a second query result of the previous query request are retrieved. A delta data and a first indicator are sent to the client in response to the first query result being different from the second query result, wherein the delta data is the data of the first query result excluding the data comprised in both first and second query results, and the first indicator indicates the data comprised in both the first and the second query results.

Abstract: A pseudo-relevance feedback (PRF) system is disclosed that determines an optimized relevance model for a search query by utilizing a posterior relevance model to estimate the likelihood that an initial set of top-K retrieved documents would be retrieved given the posterior relevance model, re-ranking the top-K documents based on their respective estimates of likelihood of retrieval, determining a rank similarity between the initial ranking of the top-K documents and the re-ranking of the top-K documents, updating one or more model parameters of the posterior relevance model based on the rank similarity, and iteratively performing the above process until the rank similarity is maximized, at which point, the optimized relevance model is obtained.

Abstract: Provided are a computer program product, system, and method for providing information on detected user interactions with natural language processor (NLP) items to a server to use to determine an order in which to render NLP items in a user interface. Interactions with natural language processing (NLP) items in documents are detected. For each interaction with an NLP item of the NLP items in the documents, determination is made of a context attribute value for a context attribute related to the interaction with the NLP item. Then interaction information is generated indicating the NLP item and the determined context attribute value. The interaction information is sent to the server to include in user interaction information in a database.

Abstract: Generating a data model may include receiving a raw data set and generating a first repository based on a first set of features of the raw data set, a second repository having a second set of features based on an aggregation of features of the first repository, and a third repository having a third set of features based on the first and second features sets. The data model may be generated based on a tradeoff between accuracy and provenance of the model.

Abstract: Provided are techniques for finding content on computer networks. A search request having search terms is received. The search request is executed against an index to identify first search results, wherein the index comprises mappings of search terms to web sites and mappings of search terms to patterns. In response to determining that the search request failed based on first search results, an unknown search term in the search terms that does not exist in the index is found. The unknown search term is matched to a pattern of a similar search term using the mappings of search terms to patterns. A candidate web site is identified based on the matching. Additional content is requested from the candidate web site for the unknown search term to identify second search results comprising previously hidden content. The additional content is indexed.

Abstract: A computer-implemented method, system and computer program product for identifying anomalies in data during a data outage. An anomaly detection model is built using data received from a sensor at a characterized granularity. Once a period of service occurs following a data outage, a quantum of missing data during the data outage is identified using predictive modeling if the data during the data outage is not available at the granularity in which the anomaly detection model is built. The identified quantum of missing data is retrofitted into a predicted pattern during the data outage and the analytics are then re-run on the retrofitted quantum of missing data in the predicted pattern to identify anomalies during the data outage. In this manner, anomalies in data, such as data from sensor readings, can be identified during the data outage thereby enabling the model to provide more accurate predictions of anomalies occurring during the data outage.

Abstract: A computer-implemented method for performing a storage reclaim on a storage device includes generating a second tape image on a first storage device. The computer-implemented method further includes copying metadata associated with a first data extent of a valid file from a first index partition of a first tape image to a second index partition of the second tape image. The computer-implemented method further includes copying file data associated with the first data extent from a first data partition of the first tape image to a second data partition of the second tape image. The computer-implemented method further includes adjusting metadata associated with the file data of the first data extent copied to the second data partition of the second tape image. The computer-implemented method further includes releasing a storage area corresponding to the first data extent of the valid file included in the first tape image.

Abstract: A computer system includes a translation lookaside buffer (TLB) data cache and a processor. The TLB data cache includes a hierarchical configuration comprising a first TLB array, a second TLB array, a third TLB array, and a fourth TLB array. The processor is configured to receive a first address for translation to a second address, and determine whether translation should be performed using a hierarchical page table or a hashed page table. The processor also determines (using a first portion of the first address) whether the first array stores a mapping of the first portion of the first address in response to determining that the translation should be performed using the hashed page table, and retrieving the second address from the third TLB array or the fourth TLB array in response to determining that the first TLB array stores the mapping of the first portion of the first address.