3 papers
quant-ph2026
Hamiltonian Learning at Scale
Nathan Johnson, Eugene Dumitrescu
Learning a quantum system's Hamiltonian is crucial for understanding and controlling its dynamics and has recently become a topic of widespread interest. To understand the learning…
quant-ph2026
Towards Predictive Quantum Algorithmic Performance: Modeling Time-Correlated Noise at Scale
Amit Jamadagni, Gregory Quiroz, Eugene Dumitrescu
Combining tensor network techniques with quantum autoregressive moving average models, we quantify the effects of time-correlated noise on quantum algorithms and predict their perf…
quant-ph2024
Rethinking Programming Paradigms in the QC-HPC Context
Silvina Caino-Lores, Daniel Claudino, Eugene Dumitrescu +3
Programming for today's quantum computers is making significant strides toward modern workflows compatible with high performance computing (HPC), but fundamental challenges still r…