Low-Rank Quantum State Preparation

Ubiquitous in quantum computing is the step to encode data into a state. This process called state preparation, and its complexity for non-structured exponential on number of qubits. Several works address this problem, instance, by using variational methods that train fixed depth circuit with manageable complexity. These have their limitations, as lack back-propagation technique barren plateaus. work proposes an algorithm reduce preparation offloading computational classical computer. The initialized can be exact or approximation, we show approximation better today’s processors than initialization original Experimental evaluation demonstrates proposed method enables more efficient probability distributions