Abstract: A stream of tuples is processed by a stream application. The stream application includes a plurality of processing elements that operate on one or more compute nodes, each processing element includes one or more stream operators. One or more databases that are capable of communicating with the stream application are monitored during the processing of the stream of tuples. A potential performance condition of a first database of the one or more databases is detected based on the monitoring. An output adjustment is performed, in response to the potential performance condition.

Abstract: A computer answers a question using a data table. The computer receives a user question and a target table containing a target cell corresponding to a target answer for the user question, with the target cell corresponding to a target column and a target row. The computer generates, a first classifier to provide column correlation values reflecting the probability that a given column is the target column. The computer generates a second classifier that provides row correlation values reflecting the probability that a given row is the target row. The computer applies the first classifier to the target table to determine a column correlation value for each column. The computer applies the second classifier to the target table to determine a row correlation value for each row. The computer suggests, as the target cell, a cell having elevated column and row correlation values relative to other target table cells.

Abstract: An artificial intelligence (AI) interaction method, system, and computer program product include selecting an artificial intelligence model to respond to a query to generating a response to the query using the selected artificial intelligence model, and receiving the response to the query from the selected artificial intelligence model.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations that include generating a key pair and encrypting a data credential with a public key to make a data credential secret. The operations may further include storing the data credential secret in a cluster on a host and deploying a workload on the cluster. The operations may also include establishing an empty bundle in the host and generating a pod trusted execution environment.

Abstract: In an approach for predicting an optimal system upgrade, a processor detects an upgrade is available for a system of a first user computing device. A processor gathers a set of live data from an environment of the first user computing device using a process mining software. A processor compares the set of live data to a set of historical data stored in a knowledge corpus to identify a second user computing device similar to the first user computing device. Responsive to identifying the second user computing device, a processor performs a pattern recognition to generate one or more critical recommendations associated with the upgrade for the system of the first user computing device. A processor schedules the upgrade for the system of the first user computing device during a period of time, wherein the period of time is scheduled consistent with the one or more critical recommendations.

Abstract: A computer-implemented method according to one embodiment includes receiving a plurality of linguistic expressions (LEs); changing one or more conditions of the plurality of linguistic expressions to create an updated plurality of linguistic expressions, utilizing a visual exploration framework (VEF) that visually presents to a user each of the plurality of linguistic expressions; and including the updated plurality of linguistic expressions in a model used to classify input sentences. According to another embodiment, a computer-implemented method includes receiving (i) a set of linguistic expressions (LEs) and (ii) a set of labeled data as input, where the LEs are logical combinations of predicates learned from the labeled data, and each data point in the labeled data comprises a piece of text and ground-truth labels; presenting the LEs in a visual exploration framework; and allowing a user to sort, filter, subset, and select LEs based on different criteria, utilizing the framework.

Abstract: An apparatus for thermal interface material detection includes a heat dissipating device stack up that includes a heat dissipating device, a thermal interface material, a heat generating component, and a printed circuit board. The heat dissipating device is disposed on the thermal interface material, the thermal interface material is disposed on the heat generating component, and the heat generating component is disposed on the printed circuit board. A channel in a body of the heat dissipating device includes an embedded conductive probe, where a first end of the embedded conductive probe leads to a lower surface of the body of the heat dissipating device and a second end of the embedded conductive probe leads to an upper surface of the body of the heat dissipating device.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate sparse depth completion with semantic mesh deformation optimization in an augmented reality environment are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise a depth completion component that generates a first depth map from an image and sparse depth samples. The computer executable components further comprise a semantic mesh deformation component that performs a semantic mesh deformation process, using the sparse depth samples, to generate a second depth map comprising a defined image accuracy.

Abstract: A system, method, and computer program product for implementing digital script modification is provided. The method includes generating image sequences associated with textual content of a digital story. Multiple contextual dimensions are identified within the textual content and a group of dimensions are selected. The image sequences in combination with the group of dimensions are expanding or contracted and image sequences are altered based on detected interactions with the group of dimensions. Dimensions are extracted from the group of dimensions during presentation of the digital story and a scriptwriter is enabled to modify the dimensions. The image sequences are modified and a hardware interface device is enabled to interact with various image sequences and alter the multiple contextual dimensions. The textual content of the digital story is dynamically altered.

Abstract: A node of the computing environment obtains an exclusive fetch request of a cache line shared by, at least, the node and a manager node of the computing environment. The exclusive fetch request includes a state indication regarding processing of the exclusive fetch request by the manager node. The node processes the exclusive fetch request, based on the state indication included with the exclusive fetch request regarding processing of the exclusive fetch request by the manager node.

Abstract: An information handling system and method for translating virtual addresses to real addresses including a processor for processing data; memory devices for storing the data; and a memory controller configured to control accesses to the memory devices, where the processor is configured, in response to a request to translate a first virtual address to a second physical address, to send from the processor to the memory controller a page directory base and a plurality of memory offsets. The memory controller is configured to: read from the memory devices a first level page directory table using the page directory base and a first level memory offset; combine the first level page directory table with a second level memory offset; and read from the memory devices a second level page directory table using the first level page directory table and the second level memory offset.

Abstract: Embodiments include in response to monitoring a processor during operation, detecting a first number of throttling amounts in the processor, determining that the first number of throttling amounts fulfills a first condition regarding a throttling amounts threshold, and modifying a voltage level of the processor by a first amount. Embodiments include in response to modifying the voltage level of the processor by the first amount, detecting a second number of throttling amounts in the processor, determining that the second number of throttling amounts fulfills a second condition regarding the throttling amounts threshold, and modifying the voltage level of the processor by a second amount.

Abstract: A method, a computer program product, and a computer system generate a realtime viewer of content in a user interface for cloud storage environments. The method includes receiving an input selecting a data unit stored with a cloud storage service. The method includes transmitting a sensory representation to a user device. The sensory representation is shown on the user interface of the user device. The sensory representation is generated prior to the input is received. The sensory representation is output to a user utilizing the user device such that the user is capable of ascertaining a content of the data unit without the user requesting the data unit.

Abstract: The present disclosure relates to methods and apparatuses related to the deposition of a protective layer selective to an interlayer dielectric layer so that the protective layer is formed onto a top portion associated with the interlayer dielectric layer. In some embodiments, a method comprises: forming an interlayer dielectric layer on a substrate; covering a trench region with a metal liner, wherein the trench region is situated above the substrate and formed within the interlayer dielectric layer; and depositing a protective layer selective to the interlayer dielectric layer so that the protective layer is formed onto a top portion associated with the interlayer dielectric layer. In various embodiments, the depositing the protective layer comprises: repeatedly depositing the protective layer via a multi-deposition sequence; or depositing a self-assembled monolayer onto the top portion.

Abstract: A method for minimizing data transfer and storage utilization on cloud object storage systems is disclosed. In one embodiment, such a method replicates a file from a production system to a cloud object storage system. The method determines whether a number of hard links associated with the file is greater than one. In the event the number is greater than one, the method creates, on the cloud object storage system, a special object for the file and associates the file with the special object. Upon creating a hard link on the production system in association with the file, the method replicates the hard link from the production system to the cloud object storage system without replicating data associated with the file. A metadata reference to the special object is added to the hard link on the cloud object storage system. A corresponding system and computer program product are also disclosed.

Abstract: Semiconductor devices and methods of forming the same include recessing sacrificial layers in a stack of alternating sacrificial layers and channel layers using a first etch to form curved recesses at sidewalls of each sacrificial layer in the stack, with tails of sacrificial material being present at a top and bottom of each curved recess. Dielectric plugs are formed that each partially fill a respective curved recess, leaving exposed at least a portion of each tail of sacrificial material. The tails of sacrificial material are etched back using a second etch to expand the recesses. Inner spacers are formed in the expanded recesses.

Abstract: Integrated chips and methods of forming the same include forming a stack of layers, including a device stack above a first sacrificial layer, above a substrate. The first sacrificial layer is replaced with a first etch stop layer. The substrate is removed, exposing a substrate-side of the stack of layers. The substrate-side of the stack of layers is etched to form a trench, stopping on the first etch stop layer. A conductive line is formed in the trench.

Abstract: Semiconductor devices and methods of forming the same include forming a stack of alternating first and second sacrificial layers. The first sacrificial layers are recessed relative to the second sacrificial layers. Replacement channel layers are grown from sidewalls of the first sacrificial layers. A first source/drain region is grown from the replacement channel layer. The recessed first sacrificial layers are etched away. A second source/drain region is grown from the replacement channel layer. The second sacrificial layers are etched away. A gate stack is formed between and around the replacement channel layers.

Abstract: In an embodiment, a method for forming a solder bump includes preparing a transfer mold having a solder pillar extending from a mold substrate and through a first photoresist layer and having a shape partially defined by a second photoresist layer that is removed prior to transfer of the solder. In an embodiment, the mold substrate is flexible. In an embodiment, the transfer mold is flexible. In an embodiment, the method includes providing a device substrate having a wettable pad. In an embodiment, the method includes placing the transfer mold and the device substrate into aligned contact such that the solder pillar is in contact with the wettable pad. In an embodiment, the method includes forming a metallic bond between the solder pillar and the wettable pad. In an embodiment, the method includes removing the mold substrate and first photoresist layer.

Abstract: One or more systems, devices, and/or methods provided herein relate to a process for in-process radio frequency (RF) signal quality analysis and amplitude adjustment of one or more RF devices. In one or more embodiments, the RF device can comprise a portion of a quantum computing system, such as of readout electronics thereof, and thus amplitude adjustment can be at a waveform generator that generates pulses to affect one or more qubits of a quantum logic circuit of the quantum computing system. Generally, an electronic device can comprise an RF tap connected to an RF signal component of a first RF signal chain, and an analysis component connected to the RF tap, the analysis component configured to convert an RF signal from the RF signal component and to compare a conversion result thereof to an expected power output that is based on historical data for a second RF signal chain.

Abstract: Back-end-of-the line (BEOL) interconnect structures are provided in which an alternative metal such as, for example, a noble metal, is present in a combined via/line opening that is formed in an interconnect dielectric material layer. A surface diffusion dominated reflow anneal is used to reduce the thickness of a noble metal layer outside the combined via/line opening thus reducing or eliminating the burden of polishing the noble metal layer. In some embodiments and after performing the anneal, a lesser noble metal layer can be formed atop the noble metal layer prior to polishing. The use of the lesser noble metal layer may further reduce the burden of polishing the noble metal layer.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to data drift detection in an edge device. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a verification component that can verify accuracy of a first model and accuracy of a second model to detect data drift associated with an edge device that is deployed without network connectivity; a computation component that can compute at least a first ratio based on the accuracy of the first model and the accuracy of the second model; and an analysis component that can use the at least the first ratio to determine whether performance degradation of at least one of the first model or the second model is a function of the data drift.

Abstract: Techniques regarding tiling a CR gate configuration to one or more lattices characterizing quantum circuit topologies 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 tiling component that can generate a cross-resonance gate configuration that delineates a control qubit assignment and a target qubit assignment in conjunction with a frequency allocation onto a lattice characterizing a quantum circuit topology.

Abstract: Aspects include receiving a document and classifying at least a subset of the document as having a first type of data. Features are extracted from the document. The extracting includes initiating processing of the at least a subset of the document by a first processing engine that was previously trained to extract features from the first type of data. The extracting also includes initiating processing of a remaining portion of the document not included in the at least a subset of the document by a second processing engine that was previously trained to extract features from a second type of data. The first type of data is different than the second type of data. Features are received from one or both of the first processing engine and the second processing engine. The received features are stored as features of the document.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: identifying an application marker for a source application; mapping the application marker to a set of micro-patterns provided in a micro-pattern repository, wherein a micro-pattern defines a set of actions to be performed to modernize a source application component for a target platform; generating a set of potential modernization pathways for the source application, wherein a potential modernization pathway is based, at least in part, on an aggregation of one or more micro-patterns included in the set of micro-patterns mapped to the application marker; determining a recommended modernization pathway from the set of potential modernization pathways based, at least in part, on micro-pattern optimization; and providing the recommended modernization pathway for source application modernization execution, wherein the source application modernization execution includes executing each micro-pattern included in th

Abstract: A mechanism is provided in a data processing system for displaying cyber threat data in a narrative format. The mechanism receives a cyber threat information file that comprises cyber threat data in a serialized format. The mechanism generates a tree data structure representing relationships between objects in the cyber threat data and generates a user interface presenting the cyber threat data in a narrative format based on the tree data structure. The mechanism presents the user interface to an analyst.

Abstract: Systems and methods for utilizing a mnemonic to communicate sensitive data to an agent are disclosed. In aspects, a computer-implemented method comprises: establishing a telephone connection between a caller and an agent; entering an encryption key received from the agent into a mnemonic application of the computer device to permute an algorithm of the mnemonic application; receiving sensitive data in the form of one or more alphabetic, numeric or alpha-numeric sequence; initiating the mnemonic application to generate a mnemonic of the sensitive data using the encryption key, wherein the mnemonic is a sequence of words representing the sensitive data; displaying the mnemonic to the caller; and conveying audio communication of the mnemonic to the agent through the telephone connection to enable remote decoding of the mnemonic back into the at least one sensitive number sequence.

Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: A technique for generating a performance prediction of a machine learning model with uncertainty intervals includes obtaining a first model configured to perform a task and a production dataset. At least one metric predicting a performance of the first model at performing the task on the production dataset is generated using a second model. The second model is a meta-model associated with the first model. At least one value predicting an uncertainty of the at least one metric predicting the performance of the first model at performing the task on the production dataset is generated using a third model. The third model is a meta-meta-model associated with the second model. An indication of the at least one metric and the at least one value is provided.

Abstract: Machine teaching in an embodiment can include receiving a user annotated concept for a given image in given context. The given image can be broken into parts and classified. Relationships can be determined associated with the parts. The created relationships can be stored along with the user annotated concept in a knowledge base. One or more similar images can be annotated using the parts and relationships. A second image associated the given context can be retrieved, decomposed into parts. The parts can be classified. Relationships can be determined associated with the second image's parts. Classifications and relationships associated with the second image's parts can be compared with classifications and relationships associated with the given image's parts. Based on comparing, the second image can be annotated with the user annotated concept for the given image.

Abstract: Aspects of the invention include systems and methods to obtain meta features of a dataset for training in a deep learning application. A method includes selecting an initial search space that defines a type of deep learning architecture representation that specifies hyperparameters for two or more neural network architectures. The method also includes applying a search strategy to the initial search space. One of the two or more neural network architectures are selected based on a result of an evaluation according to the search strategy. A new search space is generated with new hyperparameters using an evolutionary algorithm and a mutation type that defines one or more changes in the hyperparameters specified by the initial search space, and, based on the mutation type, the new hyperparameters are applied to the one of the two or more neural networks or the search strategy is applied to the new search space.

Abstract: A mechanism is provided for implement a discrepancy detection mechanism for detecting discrepancies between clinical notes and administrative records. Clinical concepts are extracted from the clinical notes and the administrative records in a patient's electronic medical records (EMRs). The extracted clinical concepts are filtered based on semantic type information to identify concepts that reference diseases or syndromes while also removing negated instances. Utilizing the positive mentions of diseases in clinical notes, the positive mentions of diseases or syndromes in the clinical notes are compared against each positive entry in the administrative records. A discrepancy summary is then generated for diseases or syndromes that failed to translate correctly from clinical notes to the administrative records in the patient's EMRs.

Abstract: A network architecture may receive situational data. The network architecture may acquire participant data associated with a participant. The network architecture may accept object data associated with an object. The network architecture may generate likelihood of infectiousness of the object based on the participant data and the object data. The network architecture may display the likelihood of infectiousness to one or more users.

Abstract: A technique relates to an integrated circuit (IC). The IC includes a conductive line formed on a conductive via, the conductive line being formed though a dielectric material. The IC includes an etch stop layer having one or more extended portions intervening between one or more edge portions of the conductive line and the conductive via, the one or more edge portions being at a periphery of the conductive line and the conductive via, the etch stop layer including a higher dielectric breakdown than the dielectric material. The one or more extended portions of the etch stop layer cause the conductive line to be formed with a bottom part having a reduced dimension than an upper part of the conductive line.

Abstract: Configurable sensor units and sensor apparatus are provided. A configurable sensor unit comprises a sensor device for generating an electrical signal, dependent on a stimulus sensed by the device, in a circuit, and a programmable non-volatile memory element operable in the circuit as a load resistor for the sensor device, whereby resistance of the load resistor depends on a programmed state of the memory element. The sensor unit has an output for providing an output signal dependent on the aforementioned electrical signal and programmed state. Sensor apparatus may comprise a plurality of these configurable sensor units. Such sensor apparatus may be configured to perform in-sensor compute operations for neural network architectures. Further sensor apparatus comprises a configurable sensor unit and a controller for programming the memory element of the sensor unit to a programmed state dependent on an operating requirement for the sensor unit.

Abstract: A system, method, computer program product, and service for encrypting a message. A plaintext message to be encrypted is received as input data into a computer. A processor on the computer encrypts the plaintext message, using a public key having two components, each component having degree 4. The encrypted version of the input plaintext message is output as a ciphertext having two components, each component having degree 4.

Abstract: Aspects include a cryptographic hardware security module having a secure embedded heat pipe and methods for assembling the same. The cryptographic hardware security module can include a printed circuit board having one or more components. The cryptographic hardware security module can further include an encapsulation structure having a top can and a bottom can. The top can is fixed to a first surface of the printed circuit board and the bottom can is fixed to second surface of the printed circuit board opposite the first surface. A heat pipe is positioned between the top can and the component. The heat pipe includes two or more 180-degree bends. A portion of the heat pipe extends beyond a secure region of the encapsulation structure.

Abstract: A computer-implemented method for automatically pairing two devices is disclosed. The computer-implemented method includes detecting a first type of movement from a first device. The computer-implemented method further includes determining that the first device is located within a threshold distance of a second device when the first type of movement from the first device is detected. The computer-implemented method further includes determining whether an auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices. The computer-implemented method further includes, responsive to determining that the auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices, automatically pairing the first device and the second device.

Abstract: A system includes an authenticated encryption layer comprising logic configured to encrypt data received at the authenticated encryption layer from an authorized application at a source node. The data is encrypted using a first key to obtain first encrypted data. The logic is configured to encrypt the first encrypted data using a second key to obtain second encrypted data and generate a watermark for the first encrypted data and/or a watermark for the second encrypted data. The logic is configured to generate a watermark token for the first encrypted data and/or a watermark token for the second encrypted data.

Abstract: Multimedia stream enhancement includes automatically analyzing a multimedia stream and identifying items of interest therein, building metadata, about the stream, that describes the identified items of interest and includes indications of each item of interest and a respective location of that item of interest, providing, by a stream producer device, the stream and the metadata to stream consumer devices, receiving feedback from at least one stream consumer device as the stream producer device provides the stream to the at least one stream consumer device, and using the feedback to generate updated metadata about the stream for provision to one or more stream consumer devices of the stream consumer devices.

Abstract: Key management for encrypted data. A node, such as a storage device, obtains a shared key to be used in cryptographic operations. The obtaining includes using an identifier of another node, such as a host of the computing environment, and a unique identifier of the shared key to obtain the shared key. The obtained shared key is then used in one or more cryptographic operations.

Abstract: Using interaction profiling data and deployment state data of a software application, an observability module configuration plan is generated, the configuration plan comprising an event to be observed and an observability parameter. Using infrastructure state estimation data of the infrastructure on which the software application is executing, the observability module configuration plan is adjusted, the adjusting resulting in an adjusted reconfiguration plan, the adjusted reconfiguration plan comprising a second event to be observed, the second event associated with a node failure within the infrastructure. A set of observability modules is reconfigured according to the adjusted reconfiguration plan, the reconfiguring comprising causing an observability module in the set of observability modules to be activated to monitor the event.

Abstract: An embodiment includes generating feature explainability data associated with a feature in a set of features of a sample represented by input data for a predictive model, where the explainability value is based at least in part on a significance of the feature for an output of the predictive model for the sample. The embodiment extracts feature value data from the input data that is representative of a feature value of the feature for the sample. The embodiment constructs a generalization group comprising the feature of the sample by detecting that the feature value and the explainability value satisfy a predetermined condition. The embodiment generates generalized domain data indicative of a generalized domain that comprises a generalized feature value that corresponds to a plurality of feature values in a domain of the generalization group such that the generalized feature is a generalization of the feature of the sample.

Abstract: Using a trained keyphrase generation model, a set of keyphrases corresponding to an input document is generated, a keyphrase in the set of keyphrases comprising a word summarizing a portion of a document. A relevance score measuring a similarity between the keyphrase and the document is calculated for a keyphrase in the set of keyphrases. The relevance score is adjusted according to a diversity balancing function.

Abstract: A generated signal is injected into a first network node in a set of network nodes. The generated signal comprises a predetermined pattern, the predetermined pattern comprises a plurality of time periods, wherein during each time period in the plurality of time periods a first data traffic is prevented from exiting the first network node. By monitoring data flow within the set of network nodes while the generated signal is being injected, a correlation with the generated signal is detected, the correlation correlating a second network node with the first network node. The second network node is associated with the first network node. Responsive to the association, traffic from the second network node to the set of network nodes is blocked.

Abstract: An embodiment analyzes a predictive model and its input data for the predictive model using an explainability algorithm resulting in a feature importance value of a feature. The embodiment analyzes feature values of the feature using a generalization function resulting in a set of candidate feature values. The embodiment determines an alternative feature based on the set of candidate feature values, wherein the alternative feature is a generalization of the feature. The embodiment compares an accuracy of the predictive model to a threshold performance value and, responsive to the accuracy being above the threshold performance value, maps feature values in the input data that are in the set of candidate feature values to a generalized representative value in the generalized domain.

Abstract: An embodiment monitors an operational state of a processor-based system and identifies a system error that satisfies a reboot condition for a reboot event. The embodiment generates debug data indicative of the operational state of the system when the system error occurred. The embodiment stores the debug data in a memory that retains data during the reboot event. The embodiment intercepts a debug data requests from an untrusted entity, thereby preventing the untrusted entity from directly accessing the debug data in the memory. The embodiment analyzes the debug data using a sensitive data detection process where the analyzing detects sensitive data in the debug data. The embodiment generates modified debug data by performing a data protection process on the debug data and then sends, as a response to the debug data requests, the modified debug data to the untrusted entity.

Abstract: A computer-implemented system, platform, method and computer program product for optimizing a data analytics fraud prediction/detection pipeline that includes a combination of a classical machine learned classifier model with a quantum machine learned model to optimize the performance of the fraud prevention model. The feature selection uses different feature maps: one determined by the classic classifier and the other determined by the quantum model implementation that exploits the entanglement quantum property. The quantum method can include a quantum support vector machine implementing a built feature forward algorithm that uses a quantum kernel estimate for feature mapping. This quantum model can be run on a quantum computer or quantum simulator that can run a quantum algorithm built for extracting feature importance.

Abstract: A computer-implemented method according to one embodiment includes identifying a job creation request within a system; determining a current amount of available resources within the system; and conditionally deploying a reusable group of containers for the job, based on the current amount of available resources for the system.

Abstract: Embodiments are provided for compilation of a quantum program. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components can include an identification component that selects a subgraph that is common among a first commutation directed acyclic graph (DAG) and a second commutation DAG. The subgraph has an upper-bound size that is greater than a threshold size. The first commutation DAG represents a first quantum circuit of a set of quantum circuits and the second commutation DAG represents a second quantum circuit of the set of quantum circuits. The computer-executable components also include a compilation component that compiles a quantum subcircuit corresponding to the subgraph. The computer-executable components further include a configuration component that replaces the quantum subcircuit in the first quantum circuit with the compiled quantum subcircuit.