CUDA-Q Applications

Applications that give an in depth view of CUDA-Q and its applications in Python.

Bernstein-Vazirani Algorithm

Compiling Unitaries Using Diffusion Models

Computing Magnetization With The Suzuki-Trotter Approximation

Cost Minimization

Deutsch’s Algorithm

The Deutsch-Jozsa Algorithm

Spin-Hamiltonian Simulation Using CUDA-Q

Divisive Clustering With Coresets Using CUDA-Q

Factoring Integers With Shor’s Algorithm

Hybrid Quantum Neural Networks

Max-Cut with QAOA

Molecular docking via DC-QAOA

Multi-reference Quantum Krylov Algorithm - H_2 Molecule

Quantum Enhanced Auxiliary Field Quantum Monte Carlo

Quantum Fourier Transform

Quantum Teleporation

Quantum Volume

Readout Error Mitigation

Variational Quantum Eigensolver

VQE with gradients, active spaces, and gate fusion

Using the Hadamard Test to Determine Quantum Krylov Subspace Decomposition Matrix Elements

Anderson Impurity Model ground state solver on Infleqtion’s Sqale