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- Oak Ridge National LaboratoryUS269 papers
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20 papers · 2 filters
Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing
H. Xu, S. Dasgupta, A. Pothen +1
Recent advances in quantum hardware offer new approaches to solve various optimization problems that can be computationally expensive when classical algorithms are employed. We pro…
Generalization in quantum machine learning from few training data
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo +4
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a test…
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang, Piotr Czarnik, Andrew Arrasmith +3
Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-term quantum advantage. However, recent studies have shown that noise can severely limit the traina…
Effects of a nuclear disturbed environment on a quantum free space optical link
David A. Hooper, Brandon A. Wilson, Alexander Miloshevsky +2
This manuscript investigates the potential effect of a nuclear-disturbed atmospheric environment on the signal attenuation of a ground/satellite transmitter/receiver system for bot…
Magneto Optical Sensing beyond the Shot Noise Limit
Yun-Yi Pai, Claire E. Marvinney, Chengyun Hua +2
Magneto-optical sensors including spin noise spectroscopies and magneto-optical Kerr effect microscopies are now ubiquitous tools for materials characterization that can provide ne…
Non-Gaussian photonic state engineering with the quantum frequency processor
Andrew J. Pizzimenti, Joseph M. Lukens, Hsuan-Hao Lu +3
Non-Gaussian quantum states of light are critical resources for optical quantum information processing, but methods to generate them efficiently remain challenging to implement. He…