Publications by MSDS 6372: Jacob Turner: Student: Jessica McPhaul link:
QTW - 7333 - Module 14 - ensembling
Here’s your detailed Module 14 Study Guide: Ensembling — Quantifying the World with Dr. Slater Includes full coverage: visuals, math, coding, examples, and end-of-module questions. Title: Module 14 – Ensembling: Voting, Stacking, and Real-World Performance Section 1: What Is Ensembling? Definition: Ensembling is a technique where mult...
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Abstract This paper advances the Molecular Quantum Particle Algorithm (MQPA), a novel framework integrating quantum computing with classical deep learning and Geographic Information Systems (GIS). MQPA combines quantum-enhanced deep neural networks (DNNs), transformer-based Generative Quantum Eigensolvers (GPT-QE), and the Quokka quantum servic...
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gettig htere
Expanding the Molecular Quantum Particle Algorithm (MQPA): Integrating Quantum Deep Learning, GIS, and Transformer-Based Circuit Synthesis Abstract This paper further explores the Molecular Quantum Particle Algorithm (MQPA), a novel framework integrating quantum computing with classical deep learning and Geographic Information Systems (GIS). M...
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1. Literature Review Expansion MQPA: Molecular Quantum Particle Algorithm MQPA is a quantum-classical hybrid algorithm developed for simulating molecular-level interactions and migration patterns in geospatial and environmental datasets. The algorithm encodes molecular and spatial data into quantum states using amplitude encoding and angle embe...
89615 sym Python (18550 sym/36 pcs)
workikng
1. Literature Review Expansion MQPA: Molecular Quantum Particle Algorithm MQPA is a quantum-classical hybrid algorithm developed for simulating molecular-level interactions and migration patterns in geospatial and environmental datasets. The algorithm encodes molecular and spatial data into quantum states using amplitude encoding and angle embe...
89615 sym Python (18550 sym/36 pcs)
lit review checking
1. Literature Review Expansion MQPA: Molecular Quantum Particle Algorithm MQPA is a quantum-classical hybrid algorithm developed for simulating molecular-level interactions and migration patterns in geospatial and environmental datasets. The algorithm encodes molecular and spatial data into quantum states using amplitude encoding and angle embe...
89615 sym Python (18550 sym/36 pcs)
Document
Expanding the Molecular Quantum Particle Algorithm (MQPA): Integrating Quantum Deep Learning, GIS, and Transformer-Based Circuit Synthesis Abstract This work introduces MoleculeMap GPT, an integrated hybrid quantum–classical pipeline designed to enhance simulation and prediction accuracy across molecular, environmental, and geospatial domain...
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replciate model
trying to create a 3D animated or interactive Dash-style visualization that clearly shows MQPA works—from raw molecular/environmental data, through classical prep, quantum processing, and final visualization. MQPA: A Hybrid Quantum-Classical Workflow Visualization MQPA (Molecular Quantum Particle Algorithm) integrates classical computing and...
57369 sym Python (7840 sym/5 pcs)
QTW-7333-CaseStudy6-ParticleNN
Dense Neural Network Case Study — Particle Detection Objective The goal of this case study was to develop a dense neural network to predict the existence of a new particle from a large dataset provided by the client. The prediction task is binary: 1 for detection and 0 for non-detection. The challenge involved handling over 7 million examples...
41616 sym Python (22163 sym/27 pcs) 2 tbl
CS6 - QTW - Particle Study NN
Dense Neural Network Case Study — Particle Detection Objective The goal of this case study was to develop a dense neural network to predict the existence of a new particle from a large dataset provided by the client. The prediction task is binary: 1 for detection and 0 for non-detection. The challenge involved handling over 7 million examples...
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