4 citations · 6 across the 5 of their papers we have counts for
5 papers
Dynamic Observable Subspaces: Fast Simulation of Observable Quantum Dynamics
Hannes Leipold
By decomposing quantum dynamics across the Lie orbits of a list of observables, we find polynomial bounded classical simulations for the dynamics of the quantum system given a poly…
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…
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…
The Lie Algebra of XY-mixer Topologies and Warm Starting QAOA for Constrained Optimization
Steven Kordonowy, Hannes Leipold
The XY-mixer has widespread utilization in modern quantum computing, including in variational quantum algorithms, such as Quantum Alternating Operator Ansatz (QAOA). The XY ansatz…
Contextual Quantum Neural Networks for Stock Price Prediction
Sharan Mourya, Hannes Leipold, Bibhas Adhikari
In this paper, we apply quantum machine learning (QML) to predict the stock prices of multiple assets using a contextual quantum neural network. Our approach captures recent trends…