Quantum forking for fast weighted power summation

@article{Park2019QuantumFF,
  title={Quantum forking for fast weighted power summation},
  author={Daniel K Park and I. Sinayskiy and M. Fingerhuth and Francesco Petruccione and J. Rhee},
  journal={arXiv: Quantum Physics},
  year={2019}
}
The computational cost of preparing an input quantum state can be significant depending on the structure of data to be encoded. Many quantum algorithms require repeated sampling to find the answer, mandating reconstruction of the same input state for every execution of an algorithm. Thus, the advantage of quantum information processing can diminish due to redundant state initialization. Here we present a framework based on quantum forking that bypasses such a fundamental issue and expedites a… Expand
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