Spring, Texas, United States
I’m a physics PhD student at Harvard University, where I explore the frontiers of experimental quantum science with applications in chemistry. My work focuses on using tools in AMO physics to control ultracold atomic and molecular systems and probe many-body quantum phenomena. Previously, I conducted research on superconducting qubits as an undergraduate at Purdue University. I’m also passionate about mentoring and expanding access to quantum science, having founded Purdue’s Quantum Student Organization and led diversity initiatives in the STEM field.
Software company focusing on enabling quantum technology by developing practical quantum software. My key contribution is focused on developing algorithms for quantum optimization utilizing neutral atom quantum computers. Currently, the optimization problems that I focus on involve constrained resource allocation.
Research group is focused on developing methods for using superconducting circuits to study synthetic quantum materials and quantum many-body physics. My key contribution is focused on developing improved control systems for superconducting qubits and most recently creating new superconducting qubit designs. • Design new superconducting qubit circuits using custom python library and perform ANSYS software simulations to compare with experimental results. • Develop automation code for single and multi-qubit parameter optimization and characterization using python. • Assist in fabrication methods for superconducting qubits in cleanrooms at Birck Nanotechnology Center. • Specialized Training: Birck Nanotechnology Center – Fabrication techniques for superconducting qubits. o BNC 111 – Birck Orientation and Safety Training o BNC 200 – Clean Room Process Review o BNC 202 – Solvent Cleaning o BNC 206 – Cleanroom Training o Specific machine training: Profilometer, Resist Spinner, Nikon Microscope • Develop hardware and software to implement a compact control system for single and multi-qubit experiments. • Create a chilled water monitor on an electronics board for pressure and temperature detection and data collection. • Designing 3-D microwave resonators using Autodesk Inventor and ANSYS HFSS software.
SURF program at Purdue University - Worked under professor Alex Ma and focused on building a compact superconducting qubit control and readout system
Research group investigates light-matter interactions using precisely controlled lasers to communicate with engineered quantum systems, aiming for fundamental discoveries and technological advancements. My key contribution focused on developing an efficient and effective method to produce C60 thin film targets amenable to the laser desorption process for use in infrared spectroscopy of these molecules. • Develop an efficient, simple method for spray coating C60 that is 2 orders of magnitude faster and loses 99% less mass of C60 per target. • Perform laser desorption and infrared spectroscopy on buffer gas cooled C60 molecules. • Build vacuum chamber for testing desorption characteristics of C60 thin film targets.
Research group is focused on machine learning algorithms for quantum computing, specifically in optimization for superconducting qubit control. My key contribution focused on creating a software package to model quantum systems for future use in a low-latency cryogenic electronics module for the readout and control of qubits. • Developed simulations for running quantum error correction (QEC) algorithms with realistic error models. • Created introductory knowledge base for QEC and open accessibility to the public. • GitHub: https://github.com/Lopez-Santi/QEC_code.