  Loading data in a quantum device is required in several quantum computing
applications. Without an efficient loading procedure, the cost to initialize
the algorithms can dominate the overall computational cost. A circuit-based
quantum random access memory named FF-QRAM can load M n-bit patterns with
computational cost O(CMn) to load continuous data where C depends on the data
distribution. In this work, we propose a strategy to load continuous data
without post-selection with computational cost O(Mn). The proposed method is
based on the probabilistic quantum memory, a strategy to load binary data in
quantum devices, and the FF-QRAM using standard quantum gates, and is suitable
for noisy intermediate-scale quantum computers.
