US20260178695
2026-06-25
Physics
G06F17/16
The patent application outlines methods and apparatuses for estimating properties of semiconductor devices using quantum computing. It focuses on leveraging quantum computing to handle the computational complexity involved in simulating quantum effects in semiconductor devices. The method involves initializing a system of equations based on parameters from a spatially discretized representation of the semiconductor device and applying cyclic reduction to simplify these equations. This process culminates in estimating the semiconductor property from the simplified system.
A significant aspect of the approach involves determining the entries of a matrix B, which is the inverse of matrix A. Matrix A represents interactions within a semiconductor device layer. The problem is formulated as a quadratic unconstrained binary optimization (QUBO) problem and executed on a quantum computing device. This approach aims to address the limitations of traditional semiclassical methods, which fail to accurately model quantum effects as semiconductor devices scale down to nanoscale dimensions.
The evolution of technologies like 5G and the increasing complexity of semiconductor devices demand advanced modeling techniques. Traditional methods, such as those based on the Boltzmann transport equation, are inadequate for nanoscale devices where quantum effects dominate. Existing quantum models, while more accurate, are computationally intensive and often limited to two-dimensional simulations. This complexity poses challenges for the practical use of these models in designing modern electronic devices.
Quantum computing offers new opportunities to overcome the computational barriers faced by traditional and quantum models. By employing domain decomposition methods, large problems can be broken down into smaller subproblems suitable for quantum computers. This approach enables the simulation of semiconductor devices with greater accuracy and efficiency, taking advantage of the parallel processing capabilities of quantum computers.
The application highlights the potential of quantum computing in revolutionizing semiconductor device simulation by incorporating quantum effects more effectively. By addressing computational complexities through innovative methods like cyclic reduction and domain decomposition, this approach paves the way for more accurate and efficient modeling of nanoscale semiconductor devices, crucial for the advancement of next-generation electronic technologies.