4 papers
Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions
David Quiroga, Hannes Leipold, Bibhas Adhikari
Loading high dimensional distributions is an important task for utilizing quantum computers on applications ranging from machine learning to finance. The high dimensionality leads…
Quantum embedding of graphs for subgraph counting
Bibhas Adhikari
We develop a unified quantum framework for subgraph counting in graphs. We encode a graph on vertices into a quantum state on working qubits and a…
Quantum Learning of Classical Correlations with continuous-domain Pauli Correlation Encoding
Vicente P. Soloviev, Bibhas Adhikari
We propose a quantum machine learning framework for estimating classical covariance matrices using parameterized quantum circuits within the Pauli-Correlation-Encoding (PCE) paradi…
A Perfectly Distributable Quantum-Classical Algorithm for Estimating Triangular Balance in a Signed Edge Stream
Steven Kordonowy, Bibhas Adhikari, Hannes Leipold
We develop a perfectly distributable quantum-classical streaming algorithm that processes signed edges to efficiently estimate the counts of triangles of diverse signed configurati…