2025-2026 Projects | Western Quantum Club

WQC Projects 2025-2026

Explore how our software project teams are leveraging quantum computing to tackle real-world challenges.

Project Summary

Team Lead: Amir Orfali

The Quantum Advantage in Quant Finance project investigates how quantum computing can address some of the most computationally expensive problems in modern finance. The project focuses on nested Monte Carlo simulations, a core technique used across finance, risk analysis, and other scientific fields, where classical methods face severe scalability limits as accuracy requirements increase.

By exploring Quantum Amplitude Estimation (QAE), the team studies how quantum algorithms can dramatically reduce error complexity compared to classical approaches. Tasks that would require millions or even trillions of simulations classically can, in principle, be executed far more efficiently using quantum techniques. This project emphasizes both the theoretical foundations and practical implications of quantum speedups in high-value financial applications.

Project Summary

Team Lead: Nicolas Folz

The Last-Mile Delivery Optimization project addresses a core challenge in modern logistics: efficiently routing and scheduling deliveries in the final stage of the supply chain. These problems are computationally intensive and grow rapidly in complexity as the number of vehicles, constraints, and delivery locations increases, making them difficult to solve using classical optimization techniques alone.

This project explores the use of quantum annealing to model and solve last-mile delivery routing problems. The team implemented, executed, and benchmarked logistics problem instances on a quantum routing platform, analyzing performance and solution quality relative to classical approaches. By leveraging quantum hardware, the project examined how emerging quantum optimization methods can be applied to real-world delivery systems.

Project Summary

Team Lead: Victor Postea

The QModelGuard project addresses a growing security challenge at the intersection of artificial intelligence and cryptography: protecting high-value AI model weights from theft, leakage, and long-term cryptographic vulnerabilities. As AI models become increasingly valuable intellectual property, securing their storage and transfer has emerged as a critical problem in modern computing systems.

This project builds on an existing post-quantum cryptography library to design a secure software platform for encrypting, decrypting, and signing AI models and related data. By leveraging quantum-safe cryptographic algorithms, the team developed backend services to protect model artifacts during transfer and storage, alongside a frontend interface for managing secure access and operations.

QModelGuard explores how post-quantum cryptography can be integrated into real-world software systems to defend against both current threats and future quantum attacks. The project demonstrates how cryptographic resilience can be applied to AI infrastructure, contributing to long-term security strategies for sensitive machine learning assets.

Project Summary

Team Lead: Elena Vlitas

The Quantum Market Report project examines the rapidly evolving quantum computing landscape through a business and market analysis lens. As quantum technologies mature, understanding the competitive positioning, technological approaches, and economic implications of leading firms has become increasingly important for anticipating industry impact and investment dynamics.

This project analyzes key players in the quantum ecosystem, comparing hardware models such as gate-based and annealing systems, evaluating competitive advantages and partnerships, and tracking recent technological innovations. The team also assesses projected development timelines to better understand when and how quantum capabilities may translate into practical and commercial value.

In addition to firm-level analysis, the project conducts in-depth stock evaluations, examining valuation frameworks, management strategies, and market expectations. Broader industry implications are explored by mapping potential applications, disruptions, and adoption pathways across sectors, alongside an assessment of risks, challenges, and cybersecurity concerns.

Together, the Quantum Market Report provides a structured view of how quantum computing is positioned to shape future markets, offering insight into both its technological trajectory and its economic consequences.

Project Summary

Team Lead: Hunter Korble

The Double Slit Experiment project investigates one of the foundational phenomena of quantum mechanics: wave–particle duality and quantum interference. As a cornerstone experiment in quantum physics, the double slit setup reveals behavior that cannot be explained by classical mechanics, making it central to understanding how quantum systems behave at the most fundamental level.

This project focuses on the physical construction and testing of a double slit experiment using real hardware. The team explores how slit geometry, light sources, and measurement techniques influence interference patterns, translating abstract quantum principles into observable experimental results. Emphasis is placed on building, iterating, and validating a working experimental setup rather than relying solely on simulation or theory.

WQC Projects 2025-2026

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