3 papers
quant-ph2026
Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks
Maggie Bao, Rushil Dandamudi, Jerimiah Wright +4
As quantum computing matures, it is critical to benchmark its real-world problem solving performance against competitive classical methods, such as tensor networks. In this work, w…
quant-ph2026
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…
physics.ed-ph2024
Investigating Student Participation in Quantum Workforce Initiatives
Michael B. Bennett, Joan É. Arrow, Sasha Novack +1
As the focus of quantum science shifts from basic research to development and implementation of applied quantum technology, calls for a robust, diverse quantum workforce have incre…