Back to experiments

Quantum Deep Advantage

Asier Arranz, Makoto Nakai, Eden Chen, Liu Sitong, Yinjie Zhou, Sam Tonetto

Explore the code

Automation of the quantum circuit building process by using reinforcement learning and validating the method by performing simple numerical experiments on a Bell State.

Making quantum circuits is a hard task, even for specific use cases on simple operations, the composing mechanism isn’t very intuitive and usually some extensive research and try/error needs to be done.

With this approach, based on an input we know and an output we want, a neural network will start trying random combinations with reinforcement learning until the circuit is optimized and reduced to minimum amount of gates.