Optimize QAOA circuits for graph maxcut using tensorflow
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Updated
Nov 21, 2018 - Python
Optimize QAOA circuits for graph maxcut using tensorflow
Fast MAXCUT, TSP, and sampling heuristics from near-ideal transverse field Ising model (TFIM)
Official repository of the paper "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks" presented at ICLR 2025.
Repository for the Software and Computing for Applied Physics Project
[ICLR'26] A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond
Quantum computing experiments via DWave's quantum annealing.
A gravity-inspired physics optimization kernel with a constraint-driven runtime (Ising/QUBO as the description layer).
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