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European Journal of Molecular & Clinical Medicine

A Research on Enriched Real Quantum Computing Algorithms Describing Entanglement and Superposition Computation for Quantum Computing in Digital Humanities

V. Karthick, S. Magesh, R Gnanavel, Padmalal

Published Nov 20, 2020• 0 citations
OpenAlex

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Today's robots are controlled with classical computers that make decisions based on algorithms designed for a classical computing architecture.However, the amount of data increases continuously -a fact which pushes classical computers that control these robots to their limits.In comparison to classical computing, fundamentally different concepts of physics are the basis of quantum computing and thereby quantum computing has the potential to solve specific computational problems more efficiently.In addition to the aforementioned complications, the subgroup of robots that are subject to the research of this paper, namely humanoid robots, not only need more computational capacity but also require an algorithmic design based on a behavioral model which avoids causing antipathy when interacting with human beings.Using a real quantum computer with quantum phenomena such as superposition, entanglement, and quantum parallelism, new behavioral models and algorithms can be designed to improve human robot interaction and speed up machine learning processes.This paper promotes a hybrid-controlled robot using the combination of a classical computer-and quantum computer.With four quantum circuits to define a behavioral model and three different quantum machine learning algorithms we show the advantage of the hybrid-controlled robot.

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relevant to gender fluidity, physical and mathematical principles underpinning the nonlinear dynamics [25] could be used to create a viable model of gender fluidity.Indeed, using the fundamental principles of physics we can comprehend and challenge the common binary view of male and female through the prism of our basic understanding of nature.For example, let us consider a traditional digital computer and a quantum computer [26].Similarly to an on/off light switch, a bit of a digital computer is always in one of two physical states corresponding to the binary values '0' and '1' .However, a quantum computer uses a quantum bit (qubit) that can be in states |0⟩=[1 0] and |1⟩=[0 1].These states are analogous to the '0' and '1' binary states of the classical digital computer.However, a qubit also exists in a continuum of states between |0⟩ and |1⟩, i.e. its states are a superposition |ψ⟩=α|0⟩ + β|1⟩ with |α| 2 + |β| 2 =1.Computational algorithms based on measurements of the states of a qubit are exponentially faster than any possible deterministic classical algorithm [26].Subsequently, it has been demonstrated that quantum mechanics can model human mental states better than any existing classical model [27][28][29][30].In particular, it was suggested that a quantum-like superposition of human mental states can explain human preference, anomalies of decision-making and perception of optical illusions [31][32][33][34][35][36][37][38][39][40][41].It is noteworthy that the models proposed in the cited papers are mostly phenomenological, i.e. they describe the psychological and behavioural science phenomena without necessarily conforming to the existing theories.Despite perceived limitations that are yet to be investigated in more detail, this approach has proven useful for analysis of complex experimental data, serving as a valuable tool for researchers working across several disciplines [42][43][44].
The development in this digital era is fast pacing up to the future where machines will be able to perform tasks more efficiently and rapidly than even today’s supercomputers aren’t able to perform. Increasing technology and exponential development in the domain of Quantum Computing are leading humanity to the future where Computers will be able to solve unsolvable or exponential time-consuming problems in a span of short time. This will be proved advantageous in numerous ways but as every state of development has other aspects, this development will also be able to break down every possible cryptographic algorithm implemented in the classical computing era as they all are based on complex mathematical equations and calculations. A perfectly implemented Quantum Computer will be able to compute the mathematical calculations in parallel due to the phenomenon of Superposition and entanglement. All possible progress in Quantum Algorithms is discussed in the context of digital security in this paper which can be a possible threat to every executed cryptographic algorithm and securities instigated through them.
Today's robots are controlled with classical computers that make decisions based on algorithms designed for a classical computing architecture.However, the amount of data increases continuously -a fact which pushes classical computers that control these robots to their limits.In comparison to classical computing, fundamentally different concepts of physics are the basis of quantum computing and thereby quantum computing has the potential to solve specific computational problems more efficiently.In addition to the aforementioned complications, the subgroup of robots that are subject to the research of this paper, namely humanoid robots, not only need more computational capacity but also require an algorithmic design based on a behavioral model which avoids causing antipathy when interacting with human beings.Using a real quantum computer with quantum phenomena such as superposition, entanglement, and quantum parallelism, new behavioral models and algorithms can be designed to improve human robot interaction and speed up machine learning processes.This paper promotes a hybrid-controlled robot using the combination of a classical computer-and quantum computer.With four quantum circuits to define a behavioral model and three different quantum machine learning algorithms we show the advantage of the hybrid-controlled robot.