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When a Quantum Scientist Interviews ChatGPT

Rasit Onur Topaloglu

Published Feb 9, 2023• 0 citations
Publisher

Abstract

The following is a conversation with ChatGPT, a large language machine learning model, on the topic of quantum. In the discussion section, the responses of ChatGPT are analyzed. Although comprehensive, impressive, and full of surprises, ChatGPT is not yet free of errors, typos, or obscure suggestions. A particular recommendation is to include awareness to ChatGPT about the source of its knowledge.

DOI
10.36227/techrxiv.21982619.v1

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The following is a conversation with ChatGPT, a large language machine learning model, on the topic of quantum. In the discussion section, the responses of ChatGPT are analyzed. Although comprehensive, impressive, and full of surprises, ChatGPT is not yet free of errors, typos, or obscure suggestions. A particular recommendation is to include awareness to ChatGPT about the source of its knowledge.
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This is my first attempt to communicate with the ChatGPT on the Einstein-Podolsky-Rosen paradox. ChatGPT reacted promptly with a good overview of this very wide topic. ChatGPT during our half hour conversation concluded that there is still room for the further development of the EPR paradox because this research field is far from the final theory. However, ChatGPT was skeptical to search for the missing element of the physical reality in papers of Old Masters working between 17th and 19th centuries. (One potential candidate for a more general physical theory of the EPR paradox can be found in the overlooked works of Old Masters working in the period of the 17th–19th centuries).
Quantum computing is a growing field that promises many real-world applications such as quantum cryptography or quantum finance. The number of people able to use quantum computing is however still very small. This limitation comes from the difficulty to understand the concepts and to know how to start coding. Therefore, there is a need for tools that can assist non-expert in overcoming this complexity. One possibility would be to use existing conversational agents. Unfortunately ChatGPT and other Large-Language Models produce inaccurate results.
Quantum technology is full of figurative and literal noise obscuring its promise. In this overview, we will attempt to provide a sober assessment of the promise of quantum technology with a focus on computing. We provide a tour of quantum computing and quantum technology that is aimed to be comprehensible to scientists and engineers without becoming a popular account. The goal is not a comprehensive review nor a superficial introduction but rather to serve as a useful map to navigate the hype, the scientific literature, and upcoming press releases about quantum technology and quantum computing. We have aimed to cite the most recent topical reviews, key results, and guide the reader away from fallacies and towards active discussions in the current quantum computing literature. The goal of this article was to be pedantic and introductory without compromising on the science.