20 papers
Quantum phases in endofullerene zigzag chains
Tobias Serwatka, Muhammad Shaeer Moeed, Roger G. Melko +1
We employ large-scale density matrix renormalization group calculations to study the quantum phases of dipolar molecules confined in bent (zigzag) endofullerene chains, as a functi…
Diffusion-warm sampling of the XY model enables fast thermalization at scale
Sehmimul Hoque, Roger Melko, Pooya Ronagh
We introduce a novel technique for scalable sampling of spin-system states with continuous symmetries using diffusion models. By applying our approach to the XY model, a fundamenta…
Superfluidity in the spin-1/2 XY model with power-law interactions
Muhammad Shaeer Moeed, Costanza Pennaforti, Adrian Del Maestro +1
In trapped-ion quantum simulators, effective spin-1/2 XY interactions can be engineered via laser-induced coupling between internal atomic states and collective phonon modes. In th…
Distributions of Noisy Expectation Values over Sets of Measurement Operators
Matthew Duschenes, Roger G. Melko, Juan Carrasquilla +1
Expectation values of measurement operators, interpreted as measurement probabilities, arise frequently throughout quantum algorithms. When quantum states are randomly distributed,…
Unlearnable phases of matter
Tarun Advaith Kumar, Yijian Zou, Amir-Reza Negari +2
We identify fundamental limitations in machine learning by demonstrating that non-trivial mixed-state phases of matter are computationally hard to learn. Focusing on unsupervised l…
Private and interpretable clinical prediction with quantum-inspired tensor train models
José Ramón Pareja Monturiol, Juliette Sinnott, Roger G. Melko +1
Machine learning in clinical settings must balance predictive accuracy, interpretability, and privacy. Models such as logistic regression (LR) offer transparency, while neural netw…