62 citations · 102 across the 12 of their papers we have counts for
14 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…
Experimentally Realizable Continuous-variable Quantum Neural Networks
Shikha Bangar, Leanto Sunny, Kubra Yeter-Aydeniz +1
Continuous-variable (CV) quantum computing has shown great potential for building neural network models. These neural networks can have different levels of quantum-classical hybrid…
An entanglement-based volumetric benchmark for near-term quantum hardware
Kathleen E. Hamilton, Nouamane Laanait, Akhil Francis +8
We introduce a volumetric benchmark for near-term quantum platforms based on the generation and verification of genuine entanglement across n-qubits using graph states and direct s…
Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and Cycle Benchmarking
Kubra Yeter-Aydeniz, Zachary Parks, Aadithya Nair +5
Some of the most problematic issues that limit the implementation of applications on Noisy Intermediate Scale Quantum (NISQ) machines are the adverse impacts of both incoherent and…
Collective Neutrino Oscillations on a Quantum Computer
Kübra Yeter-Aydeniz, Shikha Bangar, George Siopsis +1
We calculate the energy levels of a system of neutrinos undergoing collective oscillations as functions of an effective coupling strength and radial distance from the neutrino sour…
Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms
Kübra Yeter-Aydeniz, Bryan T. Gard, Jacek Jakowski +5
The rapid progress of noisy intermediate-scale quantum (NISQ) computing underscores the need to test and evaluate new devices and applications. Quantum chemistry is a key applicati…
Scattering in the Ising Model Using Quantum Lanczos Algorithm
Kübra Yeter-Aydeniz, George Siopsis, Raphael C. Pooser
Time evolution and scattering simulation in phenomenological models are of great interest for testing and validating the potential for near-term quantum computers to simulate quant…
Practical Quantum Computation of Chemical and Nuclear Energy Levels Using Quantum Imaginary Time Evolution and Lanczos Algorithms
Kübra Yeter-Aydeniz, Raphael C. Pooser, George Siopsis
Various methods have been developed for the quantum computation of the ground and excited states of physical and chemical systems, but many of them require either large numbers of…
Scalar Quantum Field Theories as a Benchmark for Near-Term Quantum Computers
Kubra Yeter-Aydeniz, Eugene F. Dumitrescu, Alex J. McCaskey +3
Quantum field theory (QFT) simulations are a potentially important application for noisy intermediate scale quantum (NISQ) computers. The ability of a quantum computer to emulate a…