8 papers
DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems
Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5
While combinatorial optimization problems are central to many scientific and engineering applications, their solution remains challenging due to exponentially large search spaces.…
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…
Post-Variational Ground State Estimation via QPE-Based Quantum Imaginary Time Evolution
Nora Bauer, George Siopsis
Quantum phase estimation (QPE) plays a pivotal role in many quantum algorithms, offering provable speedups in applications such as Shor's factoring algorithm. While fault-tolerant…
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…
Efficient Simulation of Open Quantum Systems on NISQ Trapped-Ion Hardware
Colin Burdine, Nora Bauer, George Siopsis +1
Simulating open quantum systems, which interact with external environments, presents significant challenges on noisy intermediate-scale quantum (NISQ) devices due to limited qubit…