Their efficient tensor network methods and clever “top-k” sampling approach drastically reduce the memory and computational load needed for accurate simulations. These strategies were validated with smaller test circuits and could shape the future of quantum research, pushing the boundaries of what classical systems can simulate.
For More Information – https://scitechdaily.com/how-1432-gpus-cracked-googles-53-qubit-quantum-computer/