7 citations · 21 across the 12 of their papers we have counts for
16 papers
Pauli Supported Invariants for Periodic Graphs-Derived Hamiltonians
Sarah Chehade, Andrew Vlasic, Rebekah Herrman +1
We introduce a graph invariant obtained from Pauli decompositions of Hamiltonians derived from local graph neighborhoods. Given a rooted h-hop neighborhood, we construct a local ad…
Towards structure-preserving quantum encodings
Arthur J. Parzygnat, Tai-Danae Bradley, Andrew Vlasic +1
Harnessing the potential computational advantage of quantum computers for machine learning tasks relies on the uploading of classical data onto quantum computers through what are c…
Quantum Circuits, Feature Maps, and Expanded Pseudo-Entropy: Analysis of Encoding Real-World Data into a Quantum Computer
Andrew Vlasic, Payal Solanki, Anh Pham
This manuscript introduces a computationally efficient method to calculate the nonlinearity of a quantum feature map, as well as a method for determining whether a quantum feature…
Empirical Power of Quantum Encoding Methods for Binary Classification
Gennaro De Luca, Andrew Vlasic, Michael Vitz +1
Quantum machine learning is one of the many potential applications of quantum computing, each of which is hoped to provide some novel computational advantage. However, quantum mach…
Investigate the Performance of Distribution Loading with Conditional Quantum Generative Adversarial Network Algorithm on Quantum Hardware with Error Suppression
Anh Pham, Andrew Vlasic
The study examines the efficacy of the Fire Opal error suppression and AI circuit optimization system integrated with IBM's quantum computing platform for a multi-modal distributio…
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
Michael Vitz, Hamed Mohammadbagherpoor, Samarth Sandeep +3
To accelerate the process of materials design, materials science has increasingly used data driven techniques to extract information from collected data. Specially, machine learnin…
Scoring Anomalous Vertices Through Quantum Walks
Andrew Vlasic, Anh Pham
With the constant flow of data from vast sources over the past decades, a plethora of advanced analytical techniques have been developed to extract relevant information from differ…
Predicting Ising Model Performance on Quantum Annealers
Salvatore Certo, Georgios Korpas, Andrew Vlasic +1
By analyzing the characteristics of hardware-native Ising Models and their performance on current and next generation quantum annealers, we provide a framework for determining the…
Conditional Generative Models for Learning Stochastic Processes
Salvatore Certo, Anh Pham, Nicolas Robles +1
A framework to learn a multi-modal distribution is proposed, denoted as the Conditional Quantum Generative Adversarial Network (C-qGAN). The neural network structure is strictly wi…
An Advantage Using Feature Selection with a Quantum Annealer
Andrew Vlasic, Hunter Grant, Salvatore Certo
Feature selection is a technique in statistical prediction modeling that identifies features in a record with a strong statistical connection to the target variable. Excluding feat…
Complement Grover's Search Algorithm: An Amplitude Suppression Implementation
Andrew Vlasic, Salvatore Certo, Anh Pham
Grover's search algorithm was a groundbreaking advancement in quantum algorithms, displaying a quadratic speed-up of querying for items. Since the creation of this algorithm it has…
Markovian Switching of Mutation Rates in Evolutionary Network Dynamics
Andrew Vlasic
The replicator-mutator dynamic was originally derived to model the evolution of language, and since the model was derived in such a general manner, it has been applied to the dynam…
Stochastic Replicator Dynamics Subject to Markovian Switching
Andrew Vlasic
Population dynamics are often subject to random independent changes in the environment. For the two strategy stochastic replicator dynamic, we assume that stochastic changes in the…
Mean Evolutionary Dynamics for Stochastically Switching Environments
Marc Harper, Dashiell Fryer, Andrew Vlasic
Populations of replicating entities frequently experience sudden or cyclical changes in environment. We explore the implications of this phenomenon via a environmental switching pa…
Modeling Stochastic Anomalies in an SIS and SIRS System
Andrew Vlasic
I propose a stochastic SIS and SIRS system to include a Poisson measure term to model anomalies in the dynamics. In particular the positive integrand in the Poisson term is intende…
Long-Run Analysis of the Stochastic Replicator Dynamics in the Presence of Random Jumps
Andrew Vlasic
A further generalization of the stochastic replicator dynamic derived by Fudenberg and Harris \cite{FH92} is considered. In particular, a Poissonian integral is introduced to the f…