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Projects

Below are projects I am currently engaged in and have previously undertaken. I enjoy applying the intersections of different technologies and methodologies together. My goal with leveraging this produced "hybrid" approach is to unlock new insights and fresh perspectives that were previously unexplored. 

Quantum

I've experimented with quantum machine learning and quantum optimization algorithms and compared their results to the classical counterparts. I mainly use IBM's Qiskit and D-Wave's Ocean software for development, and applied classification and optimization techniques to my models.

 

Leveraging the advantages of both quantum computing and classical machine learning approaches for a quantum-classical hybrid is my main point of focus.

Quantum SVMs for Cell Classification

The quantum support vector machine (qSVM) algorithm provided by IBM Qiskit's library was used to classify breast cancer cells as benign or malignant. Results were compared to that of a classical support vector machine algorithm. The speedups and classification accuracies between the classical and quantum versions were examined. 

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Quantum Amplitude Estimation and Credit Risk Analysis

The quantum amplitude estimation algorithm was applied with a Monte Carlo method to compute the risk measures of a sample portfolio. The expected loss and the cumulative distribution function were estimated to measure the value at risk and conditional value at risk.

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Quantum Annealing - Protein Folding

The Protein Folding Problem was addressed with quantum annealing methods simulating sample amino acid reactions. D-wave's 2000Q annealer was used for simulated annealing with Monte Carlo and classical turn ancilla encoding with a quantum processing unit. Drug discovery applications are also discussed. 

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Quantum EV Charging Optimization

Optimizing the placement of EV charging locations- maximizing utility while minimizing cost- is addressed. The Quantum Approximate Optimization Algorithm (QAOA) a quantum optimization method is applied to D-Wave's binary quadratic model (BQM) hybrid solver.

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QDerm - Quantum Neural Network

QDerm is an application using a quantum neural network. Users can upload images of skin moles and the model will classify the moles as cancerous or non-cancerous. The model was adapted from Tensor's MNIST classification approach. 

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Anaxa

Anaxa leverages the intersection of quantum computing and blockchain. Anaxa's approach integrates quantum hardware into a unified decentralized solution designed to combat security hacks and latency issues encountered in the transmission and storage of health data records. 

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Anaxa has a two-layer network:

1) Quantum key distribution (QKD) layer - establishes a secure and unhackable key for each pair of nodes within the network that aids the process during the transmission of these records

2) Light blockchain communication protocol (LBCP) for storing records based on a hashing system that is created using the private key occurred in the first layer

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Anaxa was a member of the DMZ Basecamp Accelerator at Ryerson University (2020) and the Biomedical Zone BACE Incubator (2021). 

Anaxa Pitch Deck 

Primary deck used for funding, pitch competitions, conferences, etc. 

Overview of Anaxa's problem statement, solution, platform walkthrough, target market, current market landscape business model,

go to market strategy, and product roadmap. 

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Anaxa Technical Whitepapers 

Part 1 describes the quantum hardware component with quantum key distribution and decentralized storage network component with a blockchain-based framework.

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Part 2 describes the quantum key distribution (QKD) enabled chips and the device scheme. 

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Anaxa Concept Article

Anaxa's initial concept discussing the vision, target sectors, concept design and implementation approach. 

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Consulting Challenges

Techstars 

Techstars is a startup accelerator program with 1600+ companies in its portfolio. The recommendation deck for increasing mentor engagement proposes an automated vetting system, matching algorithm, communication platform, recruitment chatbot, and mentor peer groups. 

Kidogo

Kidogo is a social enterprise improving access to childhood care and education in Nairobi, Kenya. The recommendation deck for improving Kidogo's childcare quality and affordability focuses on aeroponics and fundraising pledges.

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XPRIZE

XPRIZE hosts public competitions encouraging technological development. The recommendation deck focuses on increasing

the number of applicants in the $100M carbon capture prize with a unified platform and funding from VCs and universities.

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