Methods, systems, and computer-readable medium to perform operations for simulating performance of a reservoir that includes a wellbore. The operations include determining a constraint for an intelligent completion in a model of the wellbore, where the constraint includes a condition and a responsive action. The operations further include performing, in response to determining that the condition is satisfied, the responsive action. Further, the operations include determining, in response to performing the responsive action, transfer equations for the model of the wellbore. Yet further, the operations include building, using the transfer equations, a wellbore computation matrix for the model of the wellbore. In addition, the operations include solving the wellbore computation matrix and determining that a solution to the wellbore computation matrix has converged to an acceptable tolerance. The operations also include responsively determining that the converged solution is indicative of flow in the model of the wellbore.

In one embodiment, a technique for numerical integration in material point method (MPM)-based geotechnical analysis and simulation is provided. Input terms for an element of a background mesh are received. The input terms including material points in the element that describe a continuum of soil, rock and/or groundwater. A set of constraints is created that defines an optimization problem. The set of constraints provide that numerical integration of the material points weighted by unknown integration weights equal exact integration for finite element shape functions. The optimization problem defined by the constraints is solved by an optimization algorithm to minimize numerical integration error for polynomials up to a given order to produce a set of integration weights. The set of integration weights is scaled to conserve the mass of the material points to produce optimized integration weights. The optimized integration weights are used in numerical integration performed in MPM-based geotechnical analysis and simulation.

A method for determining predicted failure rates of drug injection devices includes receiving a set of parameters specifying physical properties of a syringe, a liquid drug, and a drug injection device configured to deliver the liquid drug to a patient via the syringe, the drug injection device including a mechanism that drives a plunger rod toward a plunger of the syringe encased in a syringe carrier. The method also includes receiving failure rate data specifying a measured rate of failure of the drug injection device in response to various peak pressures within the syringe, applying the set of parameters to a kinematic model of the drug injection device to determine a predicted peak pressure within the syringe, determining a probability of failure of the drug injection device using the failure rate data and predicted peak pressure, and providing an indication of the determined probability of failure to an output device.

Provided is a modeling device performing calculation using an amplifier model that models an amplifier of which an internal state affecting a distortion characteristic varies, wherein the amplifier model includes a plurality of calculation models that model the amplifier in different internal states, and a combiner that combines the plurality of calculation models at a combination ratio corresponding to the internal state that varies.

A method for designing a mechanism including rigid bodies and mechanical joints including obtaining input parameter values which represent the mechanism in an input state. The method also includes determining output parameter values which represent the mechanism in an output state. The determining includes minimizing an objective function under constraints. The objective function penalizes a distance between the output dimensional values and the input dimensional values. The constraints include a first constraint representing verification of the closure equation by the output parameter values. The constraints further include a second constraint representing mobility of the mechanism in the output state. This forms an improved solution for designing a mechanism comprising rigid bodies and mechanical joints.

The present disclosure belongs to the field of computational hydraulics and aims at providing a construction method and system for a hydrodynamic joint computation model, a device, and a medium. The present disclosure, by coupling a two-dimensional model and a three-dimensional model in an initial hydrodynamic joint computation model, model parameters of inner boundaries of the two-dimensional model and the three-dimensional model are unified, and the hydrodynamic joint computation model is established, so that the technical effect of accurately depicting change and distribution situations of a water depth and a flow velocity within a range of large-scale reservoirs in a three-dimensional space is achieved based on boundary flow conditions of the large-scale reservoirs and the hydrodynamic joint computation model, the advantages of high efficiency of the two-dimensional model and high accuracy of the three-dimensional model are fully taken, and then, accurate and efficient simulation for reservoir flow fields is achieved.

A hybrid computer comprising a quantum processor can be operated to perform a scalable comparison of high-entropy samplers. Performing a scalable comparison of high-entropy samplers can include comparing entropy and KL divergence of post-processed samplers. A hybrid computer comprising a quantum processor generates samples for machine learning. The quantum processor is trained by matching data statistics to statistics of the quantum processor. The quantum processor is tuned to match moments of the data.

An experiment of processing a device is performed to acquire type 1 information and type 2 information indicating processing conditions, and type 3 information and type 4 information indicating results of the processing, derive a first relation between the type 1 information, the type 2 information, and the type 3 information, and a second relation between the type 1 information, the type 2 information, and the type 4 information, and generate and output a model that estimates the type 4 information indicating a result of the processing by using the first relation and the second relation with the type 2 information and the type 3 information that are measured during the processing as inputs.

Methods, systems, and apparatus for producing CCZ states and T states. In one aspect, a method for transforming a CCZ state into three T states includes obtaining a first target qubit, a second target qubit and a third target qubit in a CCZ state; performing a X.sup.1/2 gate on the third target qubit; performing an X gate on the first target qubit and the second target qubit using the third target qubit as a control; performing a Z gate on the first target qubit and the second target qubit using the third qubit as a X axis control; performing a Z.sup.1/4 gate on the third target qubit; and performing a Z gate on the first target qubit and the second target qubit using the third qubit as a X axis control to obtain the three T states.

Apparatus and methods are provided for improving thermal control, including collecting data of a plurality of systems, each of the plurality of systems including at least one first cooling element and at least one first heat-generating element; conducting a first simulation using a simulation model based on the collected data to generate a first set of simulation results; conducting a first training on a control system using the first set of simulation results to obtain a first trained control system; and using the first trained control system to monitor a field system with a space having at least one second cooling element and at least one second heat-generating element and to control the at least one second cooling element and the at least one second heat-generating element.