Publications by MSDS 6372: Jacob Turner: Student: Jessica McPhaul link:
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QTW - 7333 Module 13: Recurrent Neural Networks Part 1: Introduction Recurrent Neural Networks Recurrent Neural Networks are designed for sequence-dependent data like language and time series. Unlike dense and convolutional neural networks that process data all at once, RNNs process inputs one step at a time while maintaining a memory of previo...
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Module 13 RNN
MAIN: QTW - 7333 Module 13: Recurrent Neural Networks (RNNs) Part 1: Introduction to Recurrent Neural Networks Core Concept Traditional dense and convolutional neural networks process input all at once. But many problems (e.g., time series, language) require sequential handling—where the order of input matters. RNNs handle this by using a m...
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summarized
QTW - 7333 Module 13: Recurrent Neural Networks Part 1: Introduction Recurrent Neural Networks Recurrent Neural Networks are designed for sequence-dependent data like language and time series. Unlike dense and convolutional neural networks that process data all at once, RNNs process inputs one step at a time while maintaining a memory of previo...
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MQPA w MTQC
Understanding Quantum Computing: MTQC and MQPA Integration Introduction Quantum computing, once confined to theoretical discussions, is rapidly transitioning into practical applications and commercialization. This document aims to provide clarity by demystifying foundational quantum concepts and elucidating the roles and interactions of MTQC (...
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Ghost Imaging
Quantum ghost imaging is an advanced imaging technique that leverages quantum correlations between entangled photon pairs to create images of objects without direct illumination. Here’s a concise breakdown: Core Principle Entangled Photon Pairs: Generated via spontaneous parametric down-conversion (SPDC), these photons are split into: Sig...
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Quantum Concepts & Algorithms
Title: Understanding MQPA: Multi-Pathway Quantum Particle Algorithm in the Context of Grover, Shor, and MTQC Architectures Author: Jessica McPhaul Date: March 26, 2025 What is MQPA? MQPA (McPhaul Quantum Particle Algorithm) is a multi-pathway quantum algorithm designed to simulate, analyze, and predict the behavior of molecular or environment...
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quantum with jess.chat
Great. I’ll generate a labeled visual diagram showing both the full quantum circuit pipeline and the interaction loop between MTQC (algorithm compilation) and MQPA (pulse-level execution). I’ll let you know as soon as it’s ready for your review. MQPA and MTQC Integration in a Quantum Computing Workflow The diagram below illustrates a full ...
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Document
Molecular Quantum Particle Algorithm (MQPA): Comprehensive Technical Document 1. Overview and Development History MQPA—Molecular Quantum Particle Algorithm—is an original quantum-classical hybrid framework developed by Jessica McPhaul over a full year of interdisciplinary work. It was designed to simulate, predict, and visualize particle-l...
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7333_module12
QTW 7333 Module 12: Convolutional Neural Networks Study Guide 1. What Is a Convolution? A convolution is the integral of the product of two functions after one is reversed and shifted. In discrete terms, we “slide” a small function (called a filter or kernel) across an input (like an image or signal), and compute an output value based on t...
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DocumentstepByStep
1. Define Your AI Chatbot Requirements Before development, decide: - Will it be fine-tuned on OpenAI’s GPT or fully custom? - Will it require Quantum, GIS, 3D modeling, molecular tracking datasets? - Do you want real-time data processing from scientific APIs? - Should it be a web-based chatbot or an API-based system? 2. Choose the AI Model ...
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