From the 1 of 6 linked papers with an AI index.
6 papers
Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks
Maggie Bao, Rushil Dandamudi, Jerimiah Wright +4
The paper benchmarks classical tensor‑network methods (DMRG) against NISQ quantum algorithms (VQE and SQD) for computing ground‑state energies of the Lipkin‑Meshkov‑Glick model, pr…
Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
Mackenson Polché, Varun Puram, Aditi Lal +6
Multi-output time-series forecasting in energy systems is challenging because of nonlinear dynamics, multi-scale seasonality, and strong dependencies across correlated series. In t…
Quantum Circuit Partitioning For Effective Utilization of Quantum Resources
Connor Howe, Cristina Radian, Justin Woodring +2
Near-term hardware is constrained by high error rates, small qubit counts, and relatively low output fidelity, making the execution of large, high performance quantum circuits diff…
Quantum Simulation of Coupled Harmonic Oscillators: From Theory to Implementation
Viraj Dsouza, Weronika Golletz, Dimitrios Kranas +3
We investigate the quantum algorithm of Babbush et al. (arXiv:2303.13012v3) for simulating coupled harmonic oscillators, which promises exponential speedups over classical methods.…
Enhancing Corrosion Resistance of Aluminum Alloys Through AI and ML Modeling
Farnaz Kaboudvand, Maham Khalid, Nydia Assaf +3
Corrosion poses a significant challenge to the performance of aluminum alloys, particularly in marine environments. This study investigates the application of machine learning (ML)…
Quantum Mini-Apps for Engineering Applications: A Case Study
Horia MÄrgÄrit, Amanda Bowman, Krishnageetha Karuppasamy +3
In this work, we present a case study in implementing a variational quantum algorithm for solving the Poisson equation, which is a commonly encountered partial differential equatio…