Scientific discovery in the age of artificial intelligence

H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu… - Nature, 2023 - nature.com
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …

On scientific understanding with artificial intelligence

M Krenn, R Pollice, SY Guo, M Aldeghi… - Nature Reviews …, 2022 - nature.com
An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

ChatGPT: five priorities for research

EAM Van Dis, J Bollen, W Zuidema, R Van Rooij… - Nature, 2023 - nature.com
ChatGPT: five priorities for research Skip to main content Thank you for visiting nature.com.
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Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma

J Homolak - Croatian Medical Journal, 2023 - pmc.ncbi.nlm.nih.gov
The release of ChatGPT, the latest large (175-billion-parameter) language model by San
Francisco-based company OpenAI, prompted many to think about the exciting (and …

Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Artificial intelligence and machine learning for quantum technologies

M Krenn, J Landgraf, T Foesel, F Marquardt - Physical Review A, 2023 - APS
In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …

Machine learning and the physical sciences

G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld… - Reviews of Modern …, 2019 - APS
Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …

[HTML][HTML] Photonic quantum metrology

E Polino, M Valeri, N Spagnolo, F Sciarrino - AVS Quantum Science, 2020 - pubs.aip.org
Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …

Deep learning in nano-photonics: inverse design and beyond

PR Wiecha, A Arbouet, C Girard, OL Muskens - Photonics Research, 2021 - opg.optica.org
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …

Learning to predict arbitrary quantum processes

HY Huang, S Chen, J Preskill - PRX Quantum, 2023 - APS
We present an efficient machine-learning (ML) algorithm for predicting any unknown
quantum process E over n qubits. For a wide range of distributions D on arbitrary n-qubit …