doc2016
3 hours ago
geminiai seems to think charged photons quantum computing is a better target for quantum simlulation than charge neutral?:
"Adaptability Comparison
Charged Photons: Might be more suitable for simulating systems with strong or long-range interactions, but faces challenges in qubit stability and scalability.
Neutral Atoms: Offers high qubit quality, scalability, and programmability, making them adaptable to a wide range of quantum simulations, but might be less suited for systems with very strong interactions."
Jack Torrance
3 hours ago
https://ionq.com/posts/ionq-and-oak-ridge-national-laboratory-demonstrate-a-novel-scalable-and
IonQ’s Applications Team recently collaborated with researchers at Oak Ridge National Labs (ORNL) to demonstrate an optimization method that leverages near-term quantum computers in a new way, making use of noise-tolerant methods that facilitate the discovery of optimal and near-optimal solutions to the world’s hardest optimization problems. The method is based on the Quantum Imaginary Time Evolution principle (QITE), which allows for identifying optimal or near-optimal solutions of optimization problems, formulated as finding the ground state of Hamiltonians (a mathematical operator that describes the total energy of a quantum system). This in turn can be used to solve a potentially wide range of formulations for hard optimization problems such as MaxCut, clique finding, graph partitioning, and more.
One of the key findings of this work is that QITE can significantly outperform other quantum optimization algorithms such as QAOA (Quantum Approximate Optimization Algorithm) in terms of time-to-solution and required circuit depth. Here at IonQ, we are currently developing QITE-based solutions and decomposition methods as key enabling quantum technologies for scalable optimization. This paves the way for tackling large optimization problems on near-term quantum computers.
Konaploinks
2 days ago
From chat gpt
Yes, IonQ and NVIDIA have recently demonstrated significant advancements in simulating molecular behaviors using hybrid quantum-classical approaches. IonQ has integrated its quantum computing capabilities with NVIDIA’s CUDA-Q platform to enhance the accuracy and efficiency of molecular simulations. This collaboration was showcased at events like NVIDIA’s GTC 2024 and the SuperCompute 24 conference, highlighting breakthroughs in simulating large molecules and optimizing hybrid quantum-classical workflows.
For example, NVIDIA’s Quantum Cloud allows researchers to simulate quantum algorithms and systems, including molecular interactions, by leveraging GPU-accelerated classical hardware. Meanwhile, IonQ has demonstrated simulations of molecular processes, such as studying chemical reactions for lithium compounds relevant to battery development. These efforts indicate that combining quantum and classical computing can push the boundaries of molecular simulation, potentially transforming fields like materials science and drug discovery?6??7??8?.