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NTT technical review

A Period without Direction Is a Time for Improving One's Basic Research Abilities--Better to Change Your Perspective than Follow the Crowd

Seiichiro Tani

Published Feb 1, 2018• 0 citations
Publisher

Abstract

Achieving innovative research results by taking pioneering approach and attracting worldwide attention in the leader election problem -Dr.Tani, please tell us about your current area of research.I'm involved in the research of quantum computers (Fig. 1).Similar to conventional computers (called "classical computers" in the world of quantum computers), quantum computers consist of hardware and will not run without placing something equivalent to software on that hardware.In my work, I theoretically consider how to create that something corre-sponding to software (quantum algorithms), that is, how to bring out the performance of that hardware.I started out on this research path about 15 years ago.Let me point out here that a key premise in this research is that using a quantum computer to do computations will not necessarily be faster.There are many cases in which the speed of processing by a quantum computer will be about the same as that of a classical computer, depending on the type of computation.In fact, a lack of skill in creating a good quantum algorithm to run on quantum computers could result in even slower processing than classical computers.With this issue in mind, we have established several A Period without Direction Is a Time for Improving One's Basic Research Abilities-Better to Change Your Perspective than Follow the Crowd Front-line Researchers

DOI
10.53829/ntr201802fr1

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Achieving innovative research results by taking pioneering approach and attracting worldwide attention in the leader election problem -Dr.Tani, please tell us about your current area of research.I'm involved in the research of quantum computers (Fig. 1).Similar to conventional computers (called "classical computers" in the world of quantum computers), quantum computers consist of hardware and will not run without placing something equivalent to software on that hardware.In my work, I theoretically consider how to create that something corre-sponding to software (quantum algorithms), that is, how to bring out the performance of that hardware.I started out on this research path about 15 years ago.Let me point out here that a key premise in this research is that using a quantum computer to do computations will not necessarily be faster.There are many cases in which the speed of processing by a quantum computer will be about the same as that of a classical computer, depending on the type of computation.In fact, a lack of skill in creating a good quantum algorithm to run on quantum computers could result in even slower processing than classical computers.With this issue in mind, we have established several A Period without Direction Is a Time for Improving One's Basic Research Abilities-Better to Change Your Perspective than Follow the Crowd Front-line Researchers
Quantum computing represents a revolutionary leap in computational power, leveraging the principles of quantum mechanics to process information in fundamentally new ways. Unlike classical computers, which use bits to represent data as 0s or 1s, quantum computers use quantum bits or qubits, enabling the phenomena of superposition and entanglement to perform complex calculations more efficiently (Nielsen & Chuang, 2010). This article explores the basic principles of quantum computing, the different models and algorithms that have been developed, and the current state of quantum hardware. The power of quantum computing lies in its ability to solve certain types of problems exponentially faster than classical computers. For instance, Shor's algorithm can factorize large integers in polynomial time, posing a significant threat to classical encryption methods (Shor, 1997). Similarly, Grover's algorithm provides a quadratic speedup for unstructured search problems, showcasing the potential for dramatic improvements in database search capabilities (Grover, 1996). These algorithms exemplify how quantum computing can revolutionize fields that rely on complex computations. Quantum hardware, however, is still in its nascent stage, with significant challenges to be overcome. Current quantum computers, such as those developed by IBM and Google, have demonstrated quantum supremacy but are limited by issues of qubit coherence and error rates (Arute et al., 2019). Quantum error correction and the development of more stable qubit technologies are critical areas of ongoing research (Preskill, 2018). Despite these challenges, recent advancements in quantum hardware and algorithms continue to drive the field forward, promising transformative impacts on industries such as cryptography, drug discovery, and artificial intelligence. As quantum computing continues to advance, it holds the promise of solving problems that are currently intractable for classical computers, paving the way for unprecedented technological and scientific advancements (Shor, 1997; Grover, 1996). This article provides a comprehensive overview of the current landscape of quantum computing, discussing its foundational principles, key algorithms, hardware challenges, and potential applications. By understanding these aspects, we can better appreciate the profound implications of quantum computing for the future of technology and science.
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve specific problems currently intractable for classical computers (e.g., cracking cryptographic keys). Since we are getting to a point where we can no longer build smaller, more powerful, more efficient devices with conventional methodologies, we need to think of new ways for technological progress. The manufacturing of microchips is reaching its limits in the use of traditional architectures. Hence, new and more advanced technologies need to address the challenges of increasing energy consumption and data processing. Connectivity, scalable architectures and concepts like Cloud Computing and Software-as-a-Service have already helped to scale computational-intense applications in the last years and have attracted the interest of IS researchers (e.g., Benlian et al. 2009 ; Benlian et al. 2018 ; Messerschmidt and Hinz 2013 ). Looking ahead to the next generation, computing will comprise technologies that enable high-performance applications far beyond today’s possibilities. One prominent example with a disruptive potential is Quantum Computing. While there are abundant open questions and directions for further developments, researchers in this area have made substantial progress in the last decade, indicating that, after medical imaging, lasers, and superconductors, another quantum-technological innovation might be approaching. We, therefore, intend to provide an overview of the current state of Quantum Computing research and outline how this new technology might stimulate research in Information Systems.
Quantum computing and distributed systems may enter a mutually beneficial partnership in the future. On the one hand, it is much easier to build a number of small quantum computers rather than a single large one. On the other hand, the best results concerning some of the fundamental problems in distributed computing can potentially be dramatically improved upon by taking advantage of the superior resources and processing power that quantum mechanics offers. This survey has the purpose to highlight both of these benefits. We first review the current results regarding the implementation of arbitrary quantum algorithms on distributed hardware. We then discuss existing proposals for quantum solutions of leader election - a fundamental problem from distributed computing. Quantum mechanics allows leader election to be solved with no communication, provided that certain pre-shared entanglement is already in place. Further, an impossibility result from classical distributed computing is circumvented by the quantum solution of anonymous leader election - a unique leader is elected in finite time with certainty. Finally, we discuss the viability of these proposals from a practical perspective. Although, theoretically, distributed quantum computing looks promising, it is still unclear how to build quantum hardware and how to create and maintain robust large-scale entangled states. Moreover, it is not clear whether the costs of creating entangled states and working with them are smaller than the costs of existing classical solutions.
Over the last three decades computers have become exceptionally compact and faster. Now that we have reached the fifth generation of computers which include concepts of artificial intelligence, what’s next? There is a lot of fuss about quantum computers being a strong contender for the next generation of computing. Recently we heard stories about small scale quantum computers being built by technology giants like IBM and Google and also an instance of quantum supremacy. One of the key features of quantum computing is its core concept, leveraging the principles of quantum mechanics, which we have avoided with our classic computers. Quantum computers are the first ones to deviate from the basic concept of bits. To understand this difference in the fundamental concepts, we start with basic building blocks in conventional computers, bits and draw contrasts with those in quantum computers. Further explore how rudimentary operations are performed in both machines by comparing addition operations of 2 and 3 bits. Followed by a brief detail on current research on quantum computers and claims on their supremacy over current machines. Then we elaborate on the world of new possibilities and unsolvable problems quantum computers have the ability to tackle. This paper aims at giving a gist of quantum computing to beginners, starting with fundamentals to current research by identifying stark contrasts with conventional machines. It also explores the need of new computation powers and why we have reached almost the tail end of processing power of classical computers.
An Interactive Approach to the Next Generation Quantum Computing performance statistics over traditional computers.The mentioning of Qubits changes the fate of computing where we have the delay in finding the solutions for much complex problems.The phenomenon used in this approach resembles the Quantum theory in which it imparts the features of superposition and entanglement.By holding all the bit positions may lead to storage issues but with the superposition we may find the combination at any one the state.Sometimes it even given drastic changes to the computing community.The top level MNC's are also trying to have a quantum computer to reduce error rates, achieving faster response times and tracking of satellites etc.It is equivalent to the performance of supercomputer in a cost-effective way.By the process of annealing I will produce better results.On periods it creates the dilemma by the feature of superposition.The way it operates the feature of de coherence is remarkable.But with the existing hardware performing robust error detections and achieving better performance is miles away.ithas a special combination of Qubit organisation where it combines the with adjacent 8-bit combos.To make effective algorithms to work with level of high expectations with this normal hardware is disastrous.A different hardware has been accompanied to design the strong algorithms which moves the traditional computer computational strategy to the knees of this.Moreover, it will take some years of time to sustain as a general computer, researchers striving hard to make this happen.
For particular classes of problems that we can state as generalizations of finding the period of a discrete function or locating an item on a discrete list, quantum computing promises a dramatic speedup over classical machines. Quantum computing has had a stimulating effect on the theory of computing, generated some excellent thinking about the foundations of quantum mechanics, and justified some elegant experimental work in applied physics. But, as was probably inevitable, it also has generated some myths. I think the myths actually affect public perception of what's possible in computing technology and, by implication, can lead to wild overestimates of what to expect from computational science.