Robot Consciousness: Physics and Metaphysics Here and Abroad

Interest has been renewed in the study of consciousness, both theoretical and applied, following developments in 20th and early 21st-century logic, metamathematics, computer science, and the brain sciences. In this evolving narrative, I explore several theoretical questions about the types of artificial intelligence and offer several conjectures about how they affect possible future developments in this exceptionally transformative field of research. I also address the practical significance of the advances in artificial intelligence in view of the cautions issued by prominent scientists, politicians, and ethicists about the possible dangers of such sufficiently advanced general intelligence, including by implication the search for extraterrestrial intelligence

Quantum Limits, Computational Complexity and Philosophy – A Review: Shamaila Shafiq

Quantum computing physics uses quantum qubits (or bits), for computer’s memory or processor. They can perform certain calculations much faster than a normal computer. The quantum computers have some limitations due to which the problems belonging to NP- Complete are not solved efficiently. This paper covers effective quantum algorithm for solving NP-Complete problems through some features of complexity theory, that we can simplify some of the philosophical interest problems

Quantum Computing: Resolving Myths, From Physics to Metaphysics

As the field of quantum computing becomes popularized, myths or misconceptions will inevitably come along with it. From the sci-fi genre to the casual usage of the term quantum, idealism begins to take over our projections of the technological future. But what are quantum computers? And what does quantum mean? How are they any different than the computers we use on an everyday basis? Will there be quantum computing smartphones? Are quantum computers just a faster version of conventional computing or a wholly new way of computing altogether? The objective of this paper is to resolve common myths or misconceptions about the concept of quantum computers, as well as the outlook and potential of this technology. In the attempt to construct a sound narrative involving a wide range of disciplines, we will draw concepts from classical computing, quantum physics, computational complexity, as well as philosophy to decipher the mystery within this unique field

Quantum machine learning: a classical perspective

Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning techniques to impressive results in regression, classification, data-generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limits of chip fabrication alongside the increasing size of datasets are motivating a growing number of researchers to explore the possibility of harnessing the power of quantum computation to speed-up classical machine learning algorithms. Here we review the literature in quantum machine learning and discuss perspectives for a mixed readership of classical machine learning and quantum computation experts. Particular emphasis will be placed on clarifying the limitations of quantum algorithms, how they compare with their best classical counterparts and why quantum resources are expected to provide advantages for learning problems. Learning in the presence of noise and certain computationally hard problems in machine learning are identified as promising directions for the field. Practical questions, like how to upload classical data into quantum form, will also be addressed.Comment: v3 33 pages; typos corrected and references adde

Quantum Computational Supremacy: Security and Vulnerability in a New Paradigm

Despite three decades of research, the field of quantum computation has yet to build a quantum computer that can perform a task beyond the capability of any classical computer – an event known as computational supremacy. Yet this multi-billion dollar research industry persists in its efforts to construct such a machine. Based on the counter-intuitive principles of quantum physics, these devices are fundamentally different from the computers we know. It is theorised that large-scale quantum computers will have the ability to perform some remarkably powerful computations, even if the extent of their capabilities remains disputed. One application, however, the factoring of large numbers into their constituent primes, has already been demonstrated using Shor’s quantum algorithm. This capability has far reaching implications for cybersecurity as it poses an unprecedented threat to the public key encryption that forms an important component of the security of all digital communications. This paper outlines the nature of the threat that quantum computation is believed to pose to digital communications and investigates how this emerging technology, coupled with the threat of Adversarial Artificial Intelligence, may result in large technology companies gaining unacceptable political leverage; and it proposes measures that might be implemented to mitigate this eventuality