Abstract: An apparatus and method for expanded cohort application of machine-learning classifier methods based on a seed data set. The apparatus comprises at least a processor configured to receive at least a labeled seed set, train an embedding model based on the seed data, determine a plurality of vector representations for both the seed set and the target data, identify commonalities between the seed vector representation and the target vector, and provide the vector training data to a supervised machine-learning application for subsequent classifications.

Abstract: A system may include a quantum model engine configured to generate a quantum computing model to represent an electronic design automation (EDA) process for a circuit design. The EDA process may be a multi-patterning process to assign colors to geometric elements of the circuit design, and the quantum computing model may include an objective function that specifies a cost value for a given state of the quantum computing model. Generation of the quantum computing model may include adaptively determining a penalty term in the objective function based on a circuit analysis of the circuit design. The quantum model engine may also be configured to generate a color assignment for the geometric elements of the circuit design through the quantum computing model. The system may also include a manufacture support engine configured to use the color assignment to support manufacture of circuit layers of the circuit design through multiple manufacturing steps.

Abstract: A system may include a quantum model engine configured to generate (e.g., load or instantiate) a quantum computing model to represent an electronic design automation (EDA) process for a circuit design. The EDA process may be a multi-patterning process to assign colors to geometric elements of the circuit design. The quantum computing model may include quantum particle types that may be defined to prohibit non-physical states in the quantum computing model from occurring. The quantum model engine may also be configured to generate a color assignment for the geometric elements of the circuit design through the quantum computing model. The system may also include a manufacture support engine configured to use the color assignment to support manufacture of circuit layers of the circuit design through multiple manufacturing steps.