Trapped-Ion Quantum Computing
19,132 papers
Trapped-Ion Quantum Computing Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Showing 121-132 of 19,132
Accelerated SPAD-Based Diffuse Optical Tomography With Data-Driven View Optimization.
Li L, Kuang K, Lin Y, Zhang J, Chen B, Jiang J, Jiang J, Bruschini C, Charbon E, Ren W
Accelerating Noisy Variational Quantum Algorithms with Physics-Informed Denoising Networks
Jie Liu, Xin Wang
Accelerating organic luminescent material discovery: from quantum chemical calculations to machine learning.
Zeng Y, Zhang SC, Guo WY, Zheng XY
Accelerating quasiparticle physics: A review on the synergy of machine learning and density functional theory for excitons, polaritons, and plasmons.
Alavi-Rad H, Hassani-Vasmejani M, Bagheri Tagani M
Accelerating State-Vector Quantum Simulation on Integrated GPUs via Cache Locality Optimization: A Cross-Architecture Evaluation
Gabriel Fernandes Thomaz, Jerusa Marchi, Eduarda Rodrigues Monteiro, Fernando Augusto Caletti de Barros, Evandro Chagas Ribeiro da Rosa
Accelerating Surface Radiation Content to Investigate the Impact of Radon Progeny on Superconducting Qubits
Sagar S. Poudel, Dylan J. Temples, Ryan Linehan, Alejandro Rodriguez, Matthew Hall, Dax Kay, Nathaniel Rodenburg, Daniel Baxter, Enectali Figueroa-Feliciano, Richard W. Schnee, Lauren Hsu
Acceleration-induced spectral blind spots in stimulated atomic transitions
Jiawei Hu, Hongwei Yu
Accuracy-Cost Trade-offs for Reference VQE Calculations of H$_2$ on IBM Quantum Hardware
Julen Larrucea, Marita Oliv, Jeanette Lorenz
Accurate and Affordable Vibrational Spectra of Large Molecules: Primary, Auxiliary, and Spectator Modes in a Perturb-then-Diagonalize Framework.
Barone V, Lazzari F, Mendolicchio M
Accurate ground state energy estimation with noise and imperfect state preparation
Alicja Dutkiewicz, Thomas E. O'Brien, Stefano Polla
Accurate Hydration Free Energy Calculations for Diverse Organic Molecules With a Machine Learning Force Field.
Xie X, Weber JL, Svensson M, Johnston RC, Harder ED, Jacobson LD
Accurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems
Burak Gurlek, Shubham Sharma, Paolo Lazzaroni, Angel Rubio, Mariana Rossi