The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)

A comprehensive benchmark suite for quantum optimization methods, featuring ten challenging problem classes with practical applications.

A Python library to automate generating, parallelizing, and executing quantum programs.

A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.

QuESO (Quantum Enhanced Seat Optimizer) is an open-source, QUBO-based office seating optimizer.

First place, CWRU Quantum Computing Club Hackathon, Fall 2022

A PyTorch topological regularizer based on the Helix-TTD Constitutional Hamiltonian. Enforces phase-locked AI alignment via trefoil knot invariants to suppress drift and barren plateaus.

Runtime-aware QAOA benchmark for constrained J1-J2 Ising ground-state search on NISQ hardware.

Optimization-Driven Quantum Circuit Reduction Reproduction

Implicit-differentiation experiments for parametrized Hamiltonians and bilevel Max-Cut optimization.

GATE (Gate Assessment and Threshold Evaluation) and GSI (Gate Significance Index)

Quantum-inspired optimization for supply chain network design

This project aims to solve qubit placement problems in nearest neighbour compliance quantum circuits. We approached the problem using integer linear programming, and solve for the exact global optimal solution.

A quantum-inspired optimization solution for the Warehouse Selection Puzzle. This project uses OpenJij (Simulated Annealing) to solve a QUBO model, maximizing inventory value while satisfying strict mass, category, and compatibility constraints.

Benchmarking budget-aware classical optimizers vs COBYLA/SPSA for QAOA parameter tuning on IBM quantum hardware — negative result: shallow QAOA landscapes are too smooth to benefit from constrained optimization techniques.