6 papers
Towards Studying Superconductivity in the Fermi-Hubbard Model on Rydberg Atoms
Kübra Yeter-Aydeniz, Nora M. Bauer
We present a method for calculating the ground state energy of the Fermi-Hubbard model leveraging Rydberg atom processors and sample-based quantum diagonalization (SQD). By exploit…
Hybrid Quantum-Classical Latent Diffusion Models for Medical Image Generation
Kübra Yeter-Aydeniz, Nora M. Bauer, Pranay Jain +1
Generative learning models in medical research are crucial in developing training data for deep learning models and advancing diagnostic tools, but the problem of high-quality, div…
Variational Quantum Annealing for Quantum Chemistry
Ka-Wa Yip, Kübra Yeter-Aydeniz, Sijia S. Dong
We introduce a variational quantum annealing (VarQA) algorithm for electronic structure theory, in which we use the quantum annealer as a sampler and prepare an ansatz state throug…
Efficient Quantum Chemistry Calculations on Noisy Quantum Hardware
Nora Bauer, Kübra Yeter-Aydeniz, George Siopsis
We present a hardware-efficient optimization scheme for quantum chemistry calculations, utilizing the Sampled Quantum Diagonalization (SQD) method. Our algorithm, optimized SQD (SQ…
Continuous-variable Quantum Boltzmann Machine
Shikha Bangar, Leanto Sunny, Kübra Yeter-Aydeniz +1
We propose a continuous-variable quantum Boltzmann machine (CVQBM) using a powerful energy-based neural network. It can be realized experimentally on a continuous-variable (CV) pho…
Solving Power Grid Optimization Problems with Rydberg Atoms
Nora Bauer, Kübra Yeter-Aydeniz, Elias Kokkas +1
The rapid development of neutral atom quantum hardware provides a unique opportunity to design hardware-centered algorithms for solving real-world problems aimed at establishing qu…