论文标题

Q-Turn:改变量子科学范式

Q-Turn: Changing Paradigms In Quantum Science

论文作者

Sainz, Ana Belén

论文摘要

量子信息是信息科学,计算机科学,数学,哲学和量子科学的交集,是一个快速增长的跨学科领域,在我们的量子技术的核心工作。无论其科学成功如何,量子信息都不能避免科学家是人类和社会成员的事实所带来的内在特征:我们的社会实践的好处和坏处都渗入了科学活动。在我们的科学界,由于社会,经济或文化障碍,多样性和平等机会问题尤其难以观察,通常是看不见的。从长远来看,我们缺乏意识如何负面影响科学的进步?我们的社区如何成长为更好的自身版本? 本文反映了研究事件(例如会议)如何有助于我们的文化转变。这种反思取决于我们从Q-Turn中学到的知识:博士后研究人员触发的一项倡议,讨论了这些问题。 Q-Turn的主要任务之一是培养一个包容性的社区,并强调由于系统性偏见而在其他高影响力场所中可能被低估的杰出研究。除了一项科学计划外,Q-turn的特征是关于影响量子信息社区的问题的讨论和讨论,从多样性和包容性,健康和心理健康到工人的权利。 在这篇观点文章中,我们将Q-turn视为研究社区如何努力解决系统偏见,审查成功并确定进一步发展点的一个例子。

Quantum information is a rapidly-growing interdisciplinary field at the intersection of information science, computer science, mathematics, philosophy, and quantum science, working at the core of our quantum technologies. Regardless of its scientific success, quantum information is not exempt from the intrinsic features that come from the fact that scientists are humans and members of society: both the good and the bad of our social practices leak into the scientific activity. In our scientific community, diversity and equal opportunity problems are particularly difficult to observe due to social, economic, or cultural barriers, often remaining invisible. How can our lack of awareness negatively influence the progress of science in the long term? How can our community grow into a better version of itself? This article reflects on how research events - such as conferences - can contribute to a shift in our culture. This reflection draws on what we learn from Q-Turn: an initiative triggered by postdoctoral researchers to discuss these questions. One of Q-turn's main missions is to foster an inclusive community and highlight outstanding research that may be under-appreciated in other high-impact venues due to systemic biases. As well as a scientific program, Q-turn features talks and discussions on issues that affect the quantum information community, ranging from diversity and inclusion, health and mental health, to workers' rights. In this perspective article, we will consider Q-Turn as an example of how a research community can work to tackle systematic biases, review the successes, and identify further points for development.

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