Quantum Generative AI Research in Nature Communications

The paper demonstrates how quantum and classical generative AI techniques can deliver advantages together beyond each approach in isolation.

Quantum deep generative prior with programmable quantum circuits

Our study demonstrates the utility of hybrid quantum-classical algorithms in enhancing generalization capability, highlighting the potential of ...

Nature Communications Publishes Zapata AI Research on ...

“Our Nature Communications article reflects an early demonstration of how generative AI techniques inspired by quantum physics can be applied to ...

Enhancing combinatorial optimization with classical and quantum ...

Nature Communications volume 15, Article number: 2761 (2024) Cite this article. 4996 Accesses. 3 Citations. 63 Altmetric. Metrics details ...

Zapata AI's Quantum-Enhanced Generative AI Research Published ...

Zapata Computing, Inc. (Zapata AI) has published research in Nature Communications demonstrating how quantum and classical techniques can ...

Zapata AI Research in Quantum-Enhanced Generative AI ... - HPCwire

“In our Nature Communications article, we showcase how tensor networks, traditionally used in classical algorithms, form a critical bridge to ...

Zapata AI Research in Quantum-Enhanced Generative AI Published ...

"In our Nature Communications article, we showcase how tensor networks, traditionally used in classical algorithms, form a critical bridge to ...

Zapata AI Research in Quantum-Enhanced Generative AI Published ...

“In our Nature Communications article, we showcase how tensor networks, traditionally used in classical algorithms, form a critical bridge to ...

Zapata AI's Groundbreaking Research On Generative AI ...

Zapata AI's Groundbreaking Research on Generative AI Optimisation Published in Nature Communications. Quantum News. April 4, 2024 by Quantum News.

Zapata AI Researchers Show How Quantum Circuits Can Improve ...

... quantum-enhanced Generative AI has been published in the prestigious Nature Communications journal. The article, titled “Synergistic ...

Generalization in quantum machine learning from few training data

Nature Communications volume 13, Article number: 4919 (2022) Cite this article ... artificial intelligence in the quantum domain: a review ...

A framework for demonstrating practical quantum advantage - Nature

In this study, we build over an existing framework for evaluating the generalization performance of generative models, and we establish the ...

Understanding quantum machine learning also requires rethinking ...

Nature Communications volume 15, Article number: 2277 (2024) Cite this article ... artificial intelligence in the quantum domain: a review ...

Photonic probabilistic machine learning using quantum vacuum noise

Nature Communications volume 15, Article number: 7760 (2024) Cite this article ... quantum vacuum noise with photonic generative models. We ...

HPCwire on X: "Zapata AI Research in Quantum-Enhanced ...

Zapata AI Research in Quantum-Enhanced Generative AI Published in Nature Communications https://t.co/4QucCMHi31 @ZapataComputing #HPC ...

Dynamical transition in controllable quantum neural networks with ...

Nature Communications volume 15, Article number: 9354 (2024) Cite this article ... artificial intelligence in the quantum domain: a review ...

Improved machine learning algorithm for predicting ground state ...

Nature Communications volume 15, Article number: 895 (2024) Cite this article ... Present address: Google Quantum AI, Venice, CA, USA ...

Nature Communications Publishes Zapata AI Research on ...

... Nature Communications journal. The research, titled "Enhancing Combinatorial Optimization with Classical and Quantum Generative Models ...

Inverse mapping of quantum properties to structures for chemical ...

Nature Communications volume 15, Article number: 6061 (2024) Cite this article. 3131 Accesses. 1 Citations. 5 Altmetric. Metrics details ...

Research Publications | Google Quantum AI

... nature communications 15 (1), 895, 2024. save_alt Download PDF. expand_more ... generative quantum models under TensorFlow and supports high-performance quantum ...