In Section “Introduction” we introduce the concept of quantum computing [QC]; in essence, the attempt to solve very complex computational problems characterized by numerous variables interacting simultaneously by using quantum mechanical effects (such as superposition and quantum interference). In Section “Applications of QC”, we summarise some applications of QC developed to date and discuss some of the benefits that this technology may bring about for individuals and society. In Section “Ethical Issues underlying QC”, we evaluate some of the downsides (or ethical challenges) arising from the possible wide-scale implementation of this technology. We claim that QC poses utterly new ethical challenges that will likely require novel conceptual tools and methods to be fully and properly tackled. However, we note that QC is not only crucial for the challenges it poses to ethics but also because it affords unique opportunities for enhancing our cognitive abilities and therefore for improving our cognitive profiles. Thus, in Section “QC and the Extended Mind Thesis”, we explore possible points of contact between QC and the extended mind thesis [EMT]. We argue that QC can provide solid evidence to validate some of the claims underlying EMT. Finally, we wrap up the paper (Section “Conclusion”) by summarising what we have achieved and by pointing out possible future research directions.
In Section “Introduction” we introduce the concept of quantum computing [QC]; in essence, the attempt to solve very complex computational problems characterized by numerous variables interacting simultaneously by using quantum mechanical effects (such as superposition and quantum interference). In Section “Applications of QC”, we summarise some applications of QC developed to date and discuss some of the benefits that this technology may bring about for individuals and society. In Section “Ethical Issues underlying QC”, we evaluate some of the downsides (or ethical challenges) arising from the possible wide-scale implementation of this technology. We claim that QC poses utterly new ethical challenges that will likely require novel conceptual tools and methods to be fully and properly tackled. However, we note that QC is not only crucial for the challenges it poses to ethics but also because it affords unique opportunities for enhancing our cognitive abilities and therefore for improving our cognitive profiles. Thus, in Section “QC and the Extended Mind Thesis”, we explore possible points of contact between QC and the extended mind thesis [EMT]. We argue that QC can provide solid evidence to validate some of the claims underlying EMT. Finally, we wrap up the paper (Section “Conclusion”) by summarising what we have achieved and by pointing out possible future research directions.
Abstract This paper intends to contribute to the emerging literature on the ethical problems posed by quantum computing and quantum technologies in general. The key ethical questions are as follows: Does quantum computing pose new ethical problems, or are those raised by quantum computing just a different version of the same ethical problems raised by other technologies, such as nanotechnologies, nuclear plants, or cloud computing? In other words, what is new in quantum computing from an ethical point of view? The paper aims to answer these two questions by (a) developing an analysis of the existing literature on the ethical and social aspects of quantum computing and (b) identifying and analyzing the main ethical problems posed by quantum computing. The conclusion is that quantum computing poses completely new ethical issues that require new conceptual tools and methods.
Abstract As quantum computing development advances closer toward achieving fault-tolerant error-corrected realisation, debates on applications, impacts, risks, and benefits of quantum computing are timely and due. While there is awareness of the potential power and complexity of quantum computers, there has been relatively little attention on the social impacts and ethical implications of this technology. In grappling with the social impacts of quantum computing, some stakeholders have turned to applied ethics, specifically (classical) computer and Artificial Intelligence (AI) ethics, for guidance. While computer and AI ethics are useful starting points for evaluating the ethical issues posed by quantum computing, uncritically applying existing sets of ethical principles risks overlooking how quantum computing differs from these technologies. We argue that borrowing of ethical principles and guidelines from AI and computing is inappropriate for several reasons: (1) quantum computing, classical computing, and AI are different technologies with significant material differences; (2) unlike AI and classical computers which have become established, quantum computing is an emerging technology, which has implications on the levels of accessibility and immediate impact in society; and (3) there are significant differences in the way AI and quantum computing have been developed and by whom. We also briefly summarise some of the unique risks and societ al impacts posed by quantum computing. We posit that these reasons support the argument for a new sub-field of quantum computing ethics, which would allow a relevant scholarship to develop and provide guidance as quantum computing technology continues to mature.
Quantum information technologies, covering quantum computing, quantum communication and quantum sensing, are among the most significant technologies to emerge in recent decades, offering the promise of paradigm-shifting computational capacity with significant ethical consequences. On a technical level, the unique features of quantum information processing have consequences for the imposition of fairness and ethical constraints on computation. Despite its significance, little if no structured research has been undertaken into the ethical implications of such quantum technologies. In this paper, we fill this gap in the literature by presenting a roadmap for ethical quantum computing (and quantum information processing more generally) that sets out prospective research programmes. We summarise the key elements of quantum information processing (focusing on quantum computation) relevant to ethical analysis and set-out taxonomies for use by researchers considering the ethics of quantum technologies. In particular, we demonstrate how the unique features of quantum information processing gives rise to distinct ethical consequences (including in the context of machine learning). We situate quantum ethics at the cross-disciplinary intersection of quantum information science, technology ethics and moral philosophy to assess the impacts of this newly emerging technology. We provide specific examples of how the emergence of quantum technologies gives rise to normative and distributional ethical challenges. Finally, we set out prospective research directions to help inaugurate the cross-disciplinary field of the ethics of quantum computing.
Quantum computing represents a revolutionary technology capable of transforming the approach to solving complex problems that traditional computers cannot efficiently handle. This work explores the future of quantum computing by examining current achievements in the field, its potential for commercial applications, and the challenges faced by researchers and developers. Special attention is given to the prospects of utilizing quantum computers in areas such as cryptography, molecular modeling for drug development, and optimization of complex systems. The study also analyzes the potential ethical and social implications of the widespread adoption of quantum technologies, including data security issues and inequalities in access to new technologies. The research emphasizes the importance of further investigation and collaboration among government, academia, and industry to realize the full potential of quantum computing.
Quantum computing represents a paradigm shift in the realm of computational technologies, promising to revolutionize industries and solve complex problems that are currently intractable for classical computers. With advancements in quantum algorithms, quantum hardware, and quantum error correction, this field is progressing rapidly, although challenges remain in achieving practical, scalable quantum computers. This paper explores the current developments in quantum computing, its implications for technology and society, and the potential impacts on industries such as cryptography, artificial intelligence, and healthcare. Additionally, the study provides an outlook on the ethical, economic, and social challenges posed by the wide-scale adoption of quantum computing.
Quantum Artificial Intelligence (QAI) combines quantum computing with artificial intelligence (AI) to surpass the traditional barriers of classical computing systems, such as their inability to solve large-scale optimization problems or simulate complex quantum systems, which require exponentially increasing computational resources. Quantum computing, on the other hand, makes use of quantum mechanical phenomena of superposition, entanglement, and interference to process millions of data points in parallel, avoiding the exponential computation needed in many complex problems. QAI combines principles of quantum computing with AI techniques, thereby accelerating model learning. Some of the most notable applications include drug discovery in terms of exact predictions of molecular interactions, due to the enhancement of quantum simulations. There are cryptographic applications where QAI challenges classical encryption but also contains more advanced, non-breakable quantum cryptographic methods. In the same way as general advances in the field of data analysis and optimization, these domains would change: financial modeling, cybersecurity, and climate science. The biggest challenges remaining in scaling quantum hardware are noise and decoherence. Solutions will require major advances in quantum error correction, along with hybrid quantum-classical systems integrating the strengths of each. At this point, added to the list of critical concerns in the development of QAI are ethical considerations such as data privacy, algorithmic bias, and transparency. But all this notwithstanding, QAI has the transformative potential to solve problems that classical AI was unable to solve and drive innovation in domains ranging from healthcare and environmental science to cryptography and beyond. Unlocking its full capabilities and overcoming the resultant technical and ethical challenges is by way of further research and collaboration.