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Benchmarks And Controls For Optimization With Quantum Annealing, Erica Kelley Grant
Benchmarks And Controls For Optimization With Quantum Annealing, Erica Kelley Grant
Doctoral Dissertations
Quantum annealing (QA) is a metaheuristic specialized for solving optimization problems which uses principles of adiabatic quantum computing, namely the adiabatic theorem. Some devices implement QA using quantum mechanical phenomena. These QA devices do not perfectly adhere to the adiabatic theorem because they are subject to thermal and magnetic noise. Thus, QA devices return statistical solutions with some probability of success where this probability is affected by the level of noise of the system. As these devices improve, it is believed that they will become less noisy and more accurate. However, some tuning strategies may further improve that probability of …
Improving Ventricular Catheter Design Through Computational Fluid Dynamics, Sofy Hefets Weisenberg
Improving Ventricular Catheter Design Through Computational Fluid Dynamics, Sofy Hefets Weisenberg
Masters Theses
Cerebrospinal fluid (CSF) shunts are fully implantable medical devices that are used to treat patients suffering from conditions characterized by elevated intracranial pressure, such as hydrocephalus. In cases of shunt failure or malfunction, patients are often required to endure one or more revision surgeries to replace all or part of the shunt. One of the primary causes of CSF shunt failure is obstruction of the ventricular catheter, a component of the shunt system implanted directly into the brain's ventricular system. This work aims to improve the design of ventricular catheters in order to reduce the incidence of catheter obstruction and …