Solving Max-cut problems with Neural Network
Qute is a quantum optimization project developed at MIT iQuHACK 2025 for the IonQ challenge. The team applied the varQITE algorithm to solve constrained Max-Cut problems, including balance and connectivity constraints on the resulting graph partitions.
Simulate Adiabatic Process in Qiskit and similarly use QAOA
Алгоритм Гёманса–Уильямсона поиска приближённо максимального разреза с точностью 0.878
This app allows for rapid testing of algorithm ideas.
Compressed Sensing: Semidefinite Relaxations for Integer Programming - Max-Cut and Graph Coloring
Bachelor Thesis : Quantum algorithms for machine learning applications
bachelor's and master's courses thesises and projects
MATLAB implementations and reports for the Randomized Algorithms course at the Technical University of Crete (2024–25): coupon collector, balls & bins, Hamiltonian cycles, Max-Cut, Johnson-Lindenstrauss and randomized 2-SAT.
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