387 citations · 1.3k across the 27 of their papers we have counts for
3 papers · 2 filters
Quantum classifier with tailored quantum kernel
Carsten Blank, Daniel K. Park, June-Koo Kevin Rhee +1
Kernel methods have a wide spectrum of applications in machine learning. Recently, a link between quantum computing and kernel theory has been formally established, opening up oppo…
Parallel quantum trajectories via forking for sampling without redundancy
Daniel K. Park, Ilya Sinayskiy, Mark Fingerhuth +2
The computational cost of preparing a quantum state can be substantial depending on the structure of data to be encoded. Many quantum algorithms require repeated sampling to find t…
Circuit-Based Quantum Random Access Memory for Classical Data
Daniel K. Park, Francesco Petruccione, June-Koo Kevin Rhee
A prerequisite for many quantum information processing tasks to truly surpass classical approaches is an efficient procedure to encode classical data in quantum superposition state…