activity
20232026
most citedDistributed Quantum Computing for Chemical Applications

9 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

physics.chem-ph2026

Analyzing Initialization Strategies for the Local Unitary Cluster Jastrow Ansatz within the Quantum-Centric Supercomputing Framework

Grier M. Jones, Maforikan J. Amoussou, Maximilian O. Leach +1

In this study, we analyze the choice of local unitary cluster Jastrow (LUCJ) ansatz initialization and sensitivity of the sample-based quantum diagonalization (SQD) algorithm withi…

quant-ph2026

Probabilistic Design of Parametrized Quantum Circuits through Local Gate Modifications

Grier M. Jones, Aviraj Newatia, Alexander Lao +3

Within quantum machine learning, parametrized quantum circuits provide flexible quantum models, but their performance is often highly task-dependent, making manual circuit design c…

quant-ph2025

Analyzing Common Electronic Structure Theory Algorithms for Distributed Quantum Computing

Grier M. Jones, Hans-Arno Jacobsen

To move towards the utility era of quantum computing, many corporations have posed distributed quantum computing (DQC) as a framework for scaling the current generation of devices…

quant-ph2025

Parametrized Quantum Circuit Learning for Quantum Chemical Applications

Grier M. Jones, Viki Kumar Prasad, Ulrich Fekl +1

In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs) -- constructed using a combination of fixed and tunable quantum gates -- provide a promising hy…

cs.DC2025★ 6 cited

Decentralization in PoS Blockchain Consensus: Quantification and Advancement

Shashank Motepalli, Hans-Arno Jacobsen

Decentralization is a foundational principle of permissionless blockchains, with consensus mechanisms serving a critical role in its realization. This study quantifies the decentra…

quant-ph2024★ 9 cited

Distributed Quantum Computing for Chemical Applications

Grier M. Jones, Hans-Arno Jacobsen

In recent years, interest in quantum computing has increased due to technological advances in quantum hardware and algorithms. Despite the promises of quantum advantage, the applic…

cs.DC2024

Ksurf: Attention Kalman Filter and Principal Component Analysis for Prediction under Highly Variable Cloud Workloads

Michael Dang'ana, Arno Jacobsen

Cloud platforms have become essential in rapidly deploying application systems online to serve large numbers of users. Resource estimation and workload forecasting are critical in…

cs.DC2023

How Does Stake Distribution Influence Consensus? Analyzing Blockchain Decentralization

Shashank Motepalli, Hans-Arno Jacobsen

In the PoS blockchain landscape, the challenge of achieving full decentralization is often hindered by a disproportionate concentration of staked tokens among a few validators. Thi…