QAOA for TSP
QAOA for Traveling Salesman Problem Overview The Traveling Salesman Problem (TSP) asks: given a list of cities and dista...
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QAOA for Traveling Salesman Problem Overview The Traveling Salesman Problem (TSP) asks: given a list of cities and dista...
VQE for BeH2 Molecule Ground State Overview Beryllium hydride (BeH₂) is a linear 6-electron molecule that provides a ste...
QAOA for MaxCut Problem Overview The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorith...
QAOA for Graph Coloring Overview Graph coloring assigns colors to vertices such that no two adjacent vertices share the ...
Quantum Advantage in Learning - Huang et al. 2021 Overview Reproduction of the quantum kernel advantage paper - proving ...
Hardware-Efficient Ansatz Overview Hardware-efficient ansatze (HEA) are variational circuits designed for NISQ devices, ...
Kernel Target Alignment Optimization Overview Optimizes quantum kernel parameters to maximize centered kernel-target ali...
3-Qubit Bit-Flip Code Overview The 3-qubit bit-flip code is the simplest quantum error correcting code. It protects agai...
QAOA Mixer Ansatz Overview The Quantum Approximate Optimization Algorithm (QAOA) uses alternating cost and mixer layers....
Fidelity Quantum Kernel Overview Directly computes the quantum fidelity |⟨φ(x)|φ(y)⟩|² using the SWAP test. This is the ...
VQE H2 Ground State - Peruzzo et al. 2014 Overview Reproduction of the original VQE paper - the first experimental demon...
Quantum Kernel SVM Overview Combines quantum feature maps with classical Support Vector Machines for classification. The...
VQE for HeH+ Molecule Ground State Overview Helium hydride cation (HeH⁺) is a simple 2-electron molecular system with as...
Barren Plateau Detection Overview Barren plateaus are flat regions in the optimization landscape where gradients vanish ...
Quantum Circuit Learning - Mitarai et al. 2018 Overview Reproduction of the Quantum Circuit Learning paper - one of the ...
Data Re-uploading Classifier Overview Data re-uploading is a powerful technique that interleaves data encoding with vari...
Data Re-uploading Classifier - Pérez-Salinas et al. 2020 Overview Reproduction of the data re-uploading paper - demonstr...
Trainable Quantum Kernel Overview Extends quantum kernels with learnable parameters that can be optimized for specific t...
Projected Quantum Kernel Overview Projects the quantum kernel to a lower-dimensional classical space for improved comput...
Expressibility Analysis Overview Expressibility measures how uniformly a variational ansatz can cover the Hilbert space....