Researchers have succeeded in developing a technique to quickly search for the optimal quantum gate sequence for a quantum computer using a probabilistic method. To make a quantum computer perform a ...
A computational problem fed into a gate-model quantum computer identifies an objective function with a particular computational pathway (objective function connectivity). The solution of the ...
Reinforcement learning has witnessed recent applications to a variety of tasks in quantum programming. The underlying assumption is that those tasks could be modeled as Markov decision processes (MDPs ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results