Showcased via a joint presentation at SC24, the application demonstrates the seamless integration of the core workflow behind several hybrid quantum-classical approaches to calculate the specific ...

This Collection supports and amplifies research related to SDG 8 and SDG 9. This year marks the centennial celebration of the initial development of quantum mechanics, a milestone that has profoundly ...

DAEJEON, South Korea (October 14, 2024) – Qunova Computing, a developer of quantum software applications designed to bring quantum computing to the chemical, pharmaceutical and industrial engineering ...

Quantum simulation enables scientists to simulate and study complex systems that are challenging or even impossible using classical computers across various fields, including financial modelling, ...

Arxiv – A survey of applications and end-to-end complexities. (337 pages. Oct 2023) by Researchers at AWS Center for Quantum Computing, Institute for Quantum Information, RWTH Aachen University ...

Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules. Quantum simulation enables ...

Bridging quantum mechanics and crystallography, quantum crystallography offers precise analysis of crystalline materials, impacting various scientific fields.

COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), a leading commercial quantum computing and networking company, announced results of a collaborative research program between IonQ, AstraZeneca, ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

Quantum simulation enables scientists to simulate and study complex systems that are challenging or even impossible using classical computers across various fields, including financial modeling, ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...