Quantum computing measurement and intelligence

Ezziane, Zoheir

doi:10.1002/qua.22056

Cited by 3 publications

(1 citation statement)

References 52 publications

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“…For the past several years, nations from all around the globe have been investing their efforts in this domain. Quantum computing makes use of quantum‐inspired fundamentals to enormously advance computation to make complex problems simpler [1]. Material science has a pivotal role in quantum computing development since the functionality of quantum computers is highly dependent on the properties of the materials used to build them.…”

Section: Introductionmentioning

confidence: 99%

Towards quantum state preparation with materials science: An analytical review

Sood

Chauhan

2023

Int J of Quantum Chemistry

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The field of quantum computing has undergone significant expansion and development in recent years. A quantitative and comprehensive examination of the research domain is essential to comprehend research trends and directions in the field. Henceforth, the current paper conducts a scientometric analysis of the academic literature on quantum computing retrieved from the Scopus database to understand the recent advances made by researchers in the domain. The analysis evaluates the state of the discipline's research by examining the most prominent journals and highly referenced articles. CiteSpace is leveraged to visualize the intellectual landscape of quantum state preparation by performing document co‐citation and author co‐citation analysis. The analysis reveals that trapped ions, photonic qubits, superconducting qubits, nitrogen‐vacancy centers, and nuclear spin qubits are the primary research topics in quantum computing. Furthermore, the most current research issues that require attention in the field are measurement‐based qubits, Majorana fermions, and quantum dots.

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Section: Introductionmentioning

confidence: 99%

Towards quantum state preparation with materials science: An analytical review

Sood

Chauhan

2023

Int J of Quantum Chemistry

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Molecular Information Processing: From Single Molecules to Supramolecular Systems and Interfaces – from Algorithms to Devices – Editorial Introduction

Katz¹,

Bocharova²

2012

Molecular and Supramolecular Information Processing

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Fast development of electronic computers with continuous progress [1] resulting in doubling their complexity every two years was formulated as the Moore's law in 1965 [2] (Figure 1.1). However, because of reaching physical limits for miniaturization of computing elements [3], the end of this exponential growth is expected soon. Economic [4] and fundamental physical problems (including limits placed on the miniaturization by quantum tunneling [5] and by the universal light speed [6]), which cannot be overcome in the frame of the existing paradigm, abolish all forms of future sophistication of computing systems. The inevitably expected limit to the development of the computer technology based on silicon electronics motivates various directions in unconventional computing [7] ranging from quantum computing [8], which aspires to achieve significant speedup over the conventional electronic computers for some problems, to biomolecular computing with a ''soup'' of biochemical reactions inspired by biology and usually represented by DNA-based computing [9].Chemical computing, as a research subarea of unconventional computing, aims at using molecular or supramolecular systems to perform various computing operations that mimic processes typical of electronic computing devices [7]. Chemical reactions observed as changes of bulk material properties or structural reorganizations at the level of single molecules can be described in terms of information processing language, thus allowing for formulation of chemical processes as computing operations rather than traditional chemical transformations.The idea of using chemical transformations for information processing originated from the concept of ''artificial life'' as early as in 1970s, when artificial molecular machines were inspired by chemistry and brought to computer science [10]. Theoretical background for implementing logic gates and finite-state machines based on chemical flow systems and bistable reactions was developed in 1980s and 1990s [11], including application of chemical computing to solving a hard-to-solve problem of propositional satisfiability [12]. However, the practical realization of the theoretical concepts came later when already known Belousov-Zhabotinsky chemical oscillating systems [13] (Figure 1.2) were applied for experimental design of logic gates [14]. Extensive research in the area of reaction-diffusion computing systems [15] resulted in the formulation of conceptually novel circuits performing Molecular and Supramolecular Information Processing: From Molecular Switches to Logic Systems, First Edition. Edited by Evgeny Katz.

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Conclusions and Perspectives

Katz¹

2012

Biomolecular Information Processing

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Unconventional computing aiming at information processing by nonelectronic systems is a research area that is still in its infancy [1]. Despite the many efforts in the last decades, researchers could not demonstrate any practical application in which to compete with electronic systems and even could not formulate the exact goals for the research area. Eventually, consolidated efforts in this multidisciplinary area are difficult because of the large difference between subdirections included in unconventional computing, being represented by a very broad spectrum from quantum computing [2] to DNA computing [3, 4]. The researchers working in the area have different backgrounds originating from computer science, materials science, physics, chemistry, biology, and so on, which make it very difficult to understand each other's goals and formulating joint goals. Eventually, there is even a raging controversy as to whether a joint goal is at all possible, since different subareas of the unconventional computing might lead to absolutely different directions. Some of them may be really pretending to revolutionize computation by generating novel paradigms for information processing and resulting in more efficient hardware operating better than present electronic computers. However, the others might be used in novel areas where electronic computers are not used as yet or their application is not efficient. To some extent, formulation of novel, unusual applications for information processing systems might be easier rather than directly competing with electronic computers trying to improve the technology which is presently well developed. The researchers selecting this path might be able to achieve their goals sooner than others because even systems of moderate complexity with slow information processing could be useful in novel applications even if they are far from able to compete with electronic systems in standard applications where electronic systems are still superior.One of the subareas of the unconventional computing is molecular [5] and biomolecular [6,7] computing. Originally formulated as an alternative to electronic computing [8], chemical computing is still waiting to formulate its goals. Some of the subdirections, such as DNA computing [3, 4], are pretending to compete directly with conventional computing, particularly expecting benefits from massive parallel information processing performed simultaneously by many DNA molecules and being particularly powerful in solving complex combinatorial problems [8,9], while Biomolecular Information Processing: From Logic Systems to Smart Sensors and Actuators, First Edition. Edited by Evgeny Katz.

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Quantum computing measurement and intelligence

Cited by 3 publications

References 52 publications

Towards quantum state preparation with materials science: An analytical review

Towards quantum state preparation with materials science: An analytical review

Molecular Information Processing: From Single Molecules to Supramolecular Systems and Interfaces – from Algorithms to Devices – Editorial Introduction

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