Distinct Leg Muscle Activation Patterns Across Body Lean Directions
University of Colorado Boulder — STEM Research Experience 2026
A unique study bridging neurophysiology and computer science, as well as exposure to Machine Learning. EMG signals in the Tibialis Anterior and Gastrocnemius muscles were recorded as participants leaned in various directions. After exporting the activity, Python was used in Jupyter to interpret the signals and calculate which muscle activated more during the leans.
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Comparing NISQ-Era Quantum Chip Architectures in Noisy Simulation of Grover's Algorithm
Arapahoe Community College — Independent Research
This study investigates how noise in Noisy Intermediate-Scale Quantum (NISQ) systems affects the performance of Grover's algorithm, and whether that effect differs across qubit architectures. Using Qiskit Aer on Google Colab, a 3-qubit Grover's circuit was run across noiseless, trapped-ion, and neutral-atom simulation environments over five trials each. The trapped-ion model stayed within about 1% of the noiseless baseline, while the neutral-atom model's success rate dropped to roughly 40%, showing that noise resilience depends heavily on the underlying hardware.
