The realization of an hypercomputer system, namely an accelerated Turing machine able to perform a countable infinite number of computational steps within a finite time, is generally considered as forbidden by Heisenberg's uncertainty principle, due to the exponentially increasing energy required by computational steps. This limitation would not affect just conventional computation but also quantum algorithms. In this paper we shown it could be possible to overcome this “barrier” by considering a quantum system based on evanescent photons produced inside optical components made of metamaterials. This proposal opens very interesting perspectives towards the realization of quantum optical supercomputer systems based on this new kind of technology in particular with respect to its potential applications in the field of Artificial Intelligence where computational power can be considered as a primary goal.
The realization of an hypercomputer system, namely an accelerated Turing machine able to perform a countable infinite number of computational steps within a finite time, is generally considered as forbidden by Heisenberg's uncertainty principle, due to the exponentially increasing energy required by computational steps. This limitation would not affect just conventional computation but also quantum algorithms. In this paper we shown it could be possible to overcome this “barrier” by considering a quantum system based on evanescent photons produced inside optical components made of metamaterials. This proposal opens very interesting perspectives towards the realization of quantum optical supercomputer systems based on this new kind of technology in particular with respect to its potential applications in the field of Artificial Intelligence where computational power can be considered as a primary goal.
Abstract Nowadays quantum computation is probably considered as the most promising way to achieve superfast calculation performances to be implemented in the next generation of hyper-computers. Nevertheless, the realization of an hypercomputer, namely a system able to perform countable infinite computational steps within a finite time, is usually considered not allowed due to the Heisenberg uncertainty principle that limits the energy required by such steps. This limitation affects quantum algorithms as well as conventional computation. In this paper we show it is possible to bypass such limitation by considering a quantum system making use of evanescent photons produced by some physical processes such, for example, that occurring inside optical components made of metamaterials. This proposal opens very interesting prospects towards a deeper understanding of quantum information and computation as well as to the realization of an actual hypercomputer system and its applications to frontier fields such as Artificial Intelligence.
On the basis of a theorem, in which an evanescent photon is a superluminal particle, the author considers the possibility of realizing a high performance computer system compared with conventional silicon processors. To realize such a quantum computer utilizing evanescent photons, we must replace electronic components with optical ones, and thus an equivalent optical transistor is required. This critical component for quantum computing can be created using meta-material circuits with a non-linear refractive index. Based on this optical computer system, utilizing metamaterial technology, it can be shown that superluminal computation, which is a new concept for hypercomputation, can be realized in the physical world.
On the basis of a theorem, in which an evanescent photon is a superluminal particle, the author considers the possibility of realizing a high performance computer system compared with conventional silicon processors. To realize such a quantum computer utilizing evanescent photons, we must replace electronic components with optical ones, and thus an equivalent optical transistor is required. This critical component for quantum computing can be created using meta-material circuits with a non-linear refractive index. Based on this optical computer system, utilizing meta-material technology, it can be shown that superluminal computation, which is a new concept for an accelerated Turing machine, can be realized in the physical world.
Today, like never before, we are witnessing a pervasive diffusion of ultra-broadband fixed-mobile connectivity, the deployment of 5G infrastructures and its integration with Cloud-Edge Computing. Moreover, Artificial Intelligence (AI) is at the center of this Digital Transformation. Sustainability of future scenarios will have to face several techno-economic challenges: the transmission and processing of enormous quantity of data with ultra-low latencies, automation of management processes, strict requirements of resilience, security and privacy, optimization of resources and energy, new markets dynamics. This is requiring a rethinking of the ways of doing computation and communications. As a matter of fact, a second revolution is underway with a growing interest - and several investments from Industries worldwide – and expected potential exploitations for meeting said evolutionary requirements and the sustainability. This paper provides a description of an innovative approach based on evanescent, electromagnetic waves and tunneling photons, for developing quantum computing systems, so called Quantum Hypercomputing. Some examples of potential applications are also provided.
Abstract Artificial intelligence algorithms, fueled by continuous technological development and increased computing power, have proven effective across a variety of tasks. Concurrently, quantum computers have shown promise in solving problems beyond the reach of classical computers. These advancements have contributed to a misconception that quantum computers enable hypercomputation, sparking speculation about quantum supremacy leading to an intelligence explosion and the creation of superintelligent agents. We challenge this notion, arguing that current evidence does not support the idea that quantum technologies enable hypercomputation. Fundamental limitations on information storage within finite spaces and the accessibility of information from quantum states constrain quantum computers from surpassing the Turing computing barrier. While quantum technologies may offer exponential speed-ups in specific computing cases, there is insufficient evidence to suggest that focusing solely on quantum-related problems will lead to technological singularity and the emergence of superintelligence. Subsequently, there is no premise suggesting that general intelligence depends on quantum effects or that accelerating existing algorithms through quantum means will replicate true intelligence. We propose that if superintelligence is to be achieved, it will not be solely through quantum technologies. Instead, the attainment of superintelligence remains a conceptual challenge that humanity has yet to overcome, with quantum technologies showing no clear path toward its resolution.
With the exponential advancements in artificial intelligence (AI) and machine learning (ML), there’s a growing demand for more potent computing platforms to handle challenging tasks. Utilizing the principles of quantum physics, Quantum computers hold the potential to transform computing. As such, they are considered a promising technological advancement. The contribution of quantum computers to the development of AI and ML applications is examined in this conference paper. We go over the basic ideas of quantum computing, the latest developments, how they contrast with conventional computers and how they might affect AI and ML models and algorithms. We also draw attention to the difficulties and possibilities that lay ahead in using quantum computing into AI and ML processes.