Alumni Projects - Graduation Year: 2023
Simulating Self-Gravitating Dark Matter with Variational Quantum Computing
Galaxies have far too little observable matter for them to be gravitationally bound. Thus, there must be a theoretical, unobservable from of matter that makes up this missing mass: dark matter. Dark matter does not interact with light and we can only see its effects through gravitational lensing. The current leading candidates for dark matter are w... read more
Using Quantum Optimization for Monte Carlo Option Pricing
Options can be priced accurately using a Monte Carlo simulation, but these simulations are extremely computer intensive to run, and are not optimal for real world options. Monte Carlo can be optimized using quantum computing, creating an accurate and fast estimation of an option's inherent value.
[Research Poster](https://drive.google.com/file/d... read more
Machine Learning Decoding of Quantum Surface Code Error Syndromes
Designing a laser microphone using a Michelson Interferometer and Machine Learning
The Buran Eavesdropping System, also known as a Laser Microphone, was first developed by Leon Theremin in the Soviet Union during the Cold War. It is a reconnaissance tool by the KGB for eavesdropping targets through solid objects using a low-power infrared beam. Various advancements from its creation increased the system's accuracy and portability... read more
A Novel Analysis of Alprazolam Metabolism Energy via Quantum Computing Techniques
Quantum Computing for Novel Pharmaceutical Development
[Presentation Video](https://drive.google.com/file/d/1HZWY79L47xLlxEN... read more
Blind Source Separation via Quantum Slime Mould Algorithm
Source separation, as the name suggests, separates the combined output of multiple sources into some representation of each individual source. Each audio source has its own unique overtone which we can use to identify them with, however, it also causes the massive overlapping frequencies that sum up to an incredibly noisy and messy wave representat... read more
Cryptocurrency Anomaly Detection with Quantum Algorithms
Modeling Double Pendulums with Wave Functions and Recurrent Neural Networks
Chaotic systems are normally modeled by nonlinear differential equations. These equations usually require numerical methods to be solved, but they are computation intensive. Our project aims to compare two novel solutions to predicting chaotic systems: machine learning (particularly with reservoir computing) and approximating the nonlinear system o... read more
Implementing a Variational Quantum Eigensolver to Model DNA
Respiratory syncytial virus (RSV) is a negative single-stranded RNA virus of the Pneumoviridae family. RSV contains 3 main protein structures - the attachment G glycoprotein, the fusion F glycoprotein, and the small hydrophobic proteins which serve as a viroprotein. This project will primarily focus on the attachment G protein in relation to the ... read more
Comparative Analysis of Quantum Machine Learning Algorithms for Cyber Attack Detection
Quantum ML to Classify Cyberattacks
[Presentation Video](https://drive.google.com/file/d/1I7yrwPNxC6BZZEuohlopwKUpNniQll9h/v... read more
Modeling Lattice Quantum Chromodynamics using Quantum Computing
Within a hadron - a title for a group that includes the likes of protons, neutrons, and more - there are quarks. The force holding these quarks together is incredibly strong, strong because it needs to be in order to keep the quarks within the hadron. This strength earned said force the name of “the strong nuclear force,” often abridged to simply “... read more
Quantum Fourier Transformations to Decompose and Restructure Low-Cost Chemoresistive Gas Sensor Data
Current air quality sensors are too expensive and are not feasible to use on a regular basis. While cheaper sensors exist, they output resistances to various gases rather than a measure of air quality. Previous attempts to restructure the gas resistance data using machine learning models overfit and fail to extrapolate to outside data. Since the se... read more
Near-Term Safe Semiprime Factorization
Near Term Prime Number Factorization with VQE
[Presentation Video](https://drive.google.com/file/d/1gyEGdKQ0CtT_uvj6Uw05yQNm... read more
Designing an Inexpensive Single-Photon Detector/Emitter System for Quantum Key Distribution
Current single-photon detectors are expensive, require temperature control, and must be used in dark rooms—they are susceptible to overload, which shorts the sensor if exposed to excess light, rendering it useless. This paper proposes a novel low-cost Geiger-mode Avalanche Photodiode (G-APD) which utilizes an inexpensive, reverse-biased LED as a ph... read more
CdSe/ZnS Quantum Dots as Biosensors for E. coli
Quantum Biology Interdisciplinary Project Using Quantum Dots
[Presentation Video](https://drive.google.com/file/d/1jrOO5ZOaK... read more
Reducing Phase Encoding Steps in Undersampled MRI k-Space using Novel Deep Learning Algorithms
Acquiring MRI scans is a time-taking and uncomfortable process. Any patient movement during the acquisition time can result in low quality scans which cause inaccurate diagnoses and problems during surgical treatment. In this study, I plan to study different signal undersampling procedures for k-space acquisition and develop a generative deep learn... read more
Quantum Policy and Quantum Workforce Development
Developing an economic model for Quantum Information Science and Technology(QIST) education-to-workforce pipeline.
Improving infrared reflectivity and carbon retention of concrete modeled with quantum computing
Concrete production and application are detrimental to the environment. This project aims to develop an environmentally friendly concrete that has the potential to reduce the urban heat island effect and reduce contamination into surrounding environments and water supplies. We will look into methods such as reducing concrete's infrared radiation re... read more
Photon Polarization Control for QKD
Working to design a polarization control system for QKD
Quantum Information Theory Limits
This project seeks to find an upper bound for the information transfer of various quantum channels. Channels and qubits are mathematically modeled and manipulated using advanced calculus and linear algebra techniques to find the information-theoretic capacity of these channels. Full description in first blog post.
Lab Cat
Causing chaos and expediting entropy!