Hidden Treasures of Semiconducting Materials for Quantum Computing: An Upcoming Fortune for Supercomputing

Hidden Treasures of Semiconducting Materials for Quantum Computing: An Upcoming Fortune for Supercomputing

Dillip Kumar Pattanayak, Arun Kumar Padhy, Lokesh Kumar Prusty, Ranjan Kumar Bhuyna, Samita Pattanayak
Copyright: © 2022 |Pages: 22
DOI: 10.4018/978-1-7998-9183-3.ch009
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Abstract

Quantum computing is based on physical materials. The choice of material is important, and semiconductor materials have become a widely trailed choice in recent years. A lot of initial research into quantum computing only manifested that it could operate at temperatures close to absolute zero. However, because semiconductors are now used in the construct of these systems, it has enabled researchers to utilize quantum computers in room temperature conditions. This is one of the major reasons why quantum computing is close to commercial realization, so the role played by semiconductors is of major importance. It is true that the implementation of semiconductors has been challenging in its own way. Many semiconducting materials can exhibit many quantum degrees of freedom, and this causes the qubits to interact with each and decode quickly. Here the authors try to project a systematic study of different semiconducting materials used for quantum computing.
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1. Introduction

1.1. Background

Recent advances in quantum computation pulled in worldwide consideration, making this subject again under the spot light since it was first proposed by Richard Feynman and Yuri Manin (Feynman, 1982) in1982. The epicentre of quantum processing is to store data in quantum state and to utilize quantum gate operation to register on that data, by tackling and figuring out how to “program” in quantum state execute. An early instance of programming impedance to take care of an issue thought to be challenging for our normal computers was finished by Peter Shor in 1994 for an issue known as factoring. Addressing and figuring carries with it the capacity to break a significant number of our public key cryptosystems which is the basic in the security of internet business today, including RSA (Rivest-Shamir-Adleman) and Elliptic Curve Cryptography. Since that time, quick and productive quantum computer calculations have been created for a large number of our hard traditional assignments like simulating physical system in chemistry, physical science, and materials science, looking through an unordered information, and machine learning.

In 1996, Lov Grover developed a quantum information base calculation that introduced a quadratic speedup for an assortment of issues. Any issue which must be tackled by arbitrary or beast power search should now be possible 4x quicker.

In 1998, a functioning 2-qubit quantum computer was constructed and settled first quantum calculations like Grover's calculation. The race into another time of computer power started and that's just the beginning and more applications were created.

In 1998 Isaac Chuang of the Los Alamos National Laboratory, Neil Gershenfeld of the Massachusetts Institute of Technology (MIT), and Mark Kubinec of the University of California at Berkeley made the main quantum computer (2-qubit) that could be stacked with data and output a solution. In spite of the fact that their system was coherent for a couple of nanoseconds and unimportant according to the point of view of taking care of significant issues, it showed the standards of quantum calculation. Rather than attempting to confine a couple of subatomic particles, they broke up countless chloroform atoms (CHCL3) in water at room temperature and applied a magnetic field to arrange the spin of the carbon and hydrogen cores in the chloroform. (Since standard carbon has no attractive twist, their answer utilized an isotope, carbon-13.) A spin corresponding to the outer magnetic field could then be deciphered as a 1 and an antiparallel spin as 0, and the hydrogen cores and carbon-13 cores could be dealt with altogether as a 2-qubit system. Notwithstanding the external magnetic field, radio frequency beats were applied to cause spin states to “flip,” in this way making superimposed parallel and antiparallel states. Further pulse were applied to execute a basic calculation and to analyze the system's last state. This sort of quantum computer can be reached out by utilizing atoms with all the more exclusively addressable cores. Indeed, in March 2000 Emanuel Knill, Raymond Laflamme, and Rudy Martinez of Los Alamos and Ching-Hua Tseng of MIT reported that they had made a 7-qubit quantum computer utilizing transcrotonic acid. Be that as it may, numerous scientists are incredulous about expanding magnetic technique much past 10 to 15 qubits due to decreasing coherence among the nucleus.

Physicist David Wineland et.al at the U.S. Public Institute for Standards and Technology (NIST) reported that they had made a 4-qubit quantum computer by entrapping four ionized beryllium molecules utilizing an electromagnetic “trap.” After keeping the particles in a linear arrangement, a laser cooled the particles nearly to absolute zero and synchronized their twist states. At last, a laser was utilized to trap the particles, making a superposition of both spin up and turn down states all the while for every one of the four particles. Once more, this methodology showed fundamental standards of quantum computing, yet increasing the strategy to viable aspects stays hazardous. After twenty years, in 2017, IBM introduced the main financially usable quantum computer, raising the rush to another level.

Key Terms in this Chapter

Semiconducting Materials: Is a crystal material whose ability to conduct electricity rises as its temperature goes up. That is, it sometimes acts as a conductor and sometimes as an insulator. Its conducting ability can be much increased by chemical treatment. A manufactured chip of silicon, less than half an inch square, may contain millions of microscopic transistors, which can serve control and memory functions when installed in a computer.

Quantum Computing: Is an area of computing focused on developing computer technology based on the principles of quantum theory. It saddles the exceptional capacity of subatomic particles that permits them to exist in more than one state.

Entanglement: Entanglement is a quantum mechanical effect that correlates the behavior of two separate things. When two qubits are entangled, changes to one qubit directly impact the other. Quantum algorithms leverage those relationships to find solutions to complex problems.

Qubits: Qubit or quantum bit is a unit of computing information that is represented by a state of an atom or elementary particle (such as the spin ) and can store multiple values at once due to the principles of quantum mechanics . In quantum computing the information is encoded in qubits. A qubit is a two-level quantum system where the two basis qubit states are usually written as |0? and |1?. A qubit can be in state |0?, |1? or (unlike a classical bit) in a linear combination of both states.

Superfluids: Computer likely uses a fan to get cold enough to work. Quantum processors need to be very cold – about a hundredth of a degree above absolute zero. To achieve this, we use super-cooled superfluids to create superconductors.

Superconductors: A superconductor is any material that can conduct electricity with no resistance. In most cases, materials such as metallic elements or compounds offer some resistance at room temperature but offer less resistance at a temperature known as its critical temperature. The transport of electrons from one atom to another is often done by these certain materials after achieving the critical temperature, thus making the material superconductive.

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