Digital Innovation: Quantum Computing

This blog post discusses the concept of quantum computing and its advantages over traditional computing. It explores the best performing quantum computers and their applications in machine learning and sampling. The post also highlights the efforts of organizations like Google, NASA, and IBM in improving the speed and performance of quantum computers for their AI projects.

Running head: DIGITAL INNOVATION: QUANTUM COMPUTING
Digital Innovation: Quantum computing
Name of the Student
Name of the University
Authors Note

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Blog link
https://diginovation.wordpress.com/
Blog Content
According to different researches, it is found that the performance
of the computers are improving by in every 18 months.
In every 18 month period, the number of transistors per chip used on the processors are
doubled.
Following graph Shows the increase in processor speed and number of Transistors
In the case of traditional computers that use memory made up of bits. In this scenario,
each bit is represented by either a zero or one.

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whereas in the case of the quantum computer, it maintains a sequence of qubits. This
qbits are able to represent one, zero, or any of the quantum superposition of those two states.
Quantum computers leverage the strange quantum ability of subatomic particles that
help them in having more than one state at any given instant of time. Due to this ability of the
particles computation operations can be done much faster as well as requires a lesser amount
of energy compared to the traditional computers.
For traditional computers, a memory bit is able to hold a single bit of piece of
information. Therefore, they are only able to have one of the following two states – 0 or 1. =
In Quantum computing it uses 'qubits' instead. These qubits can have more than two states.
However, with this ability, they can store much more information compared to the usual bit.
This is possible as they can exist in any superposition of these values.
One of the Best Performing Quantum Computers available presently is the DWAVE
2000Q. Opposed to the traditional Central processing unit the Quantum Computer Consist of
QPU (Quantum Processing Unit)
The QPU D-Wave is developed from a lattice of metal niobium loops. Each of this
loop is one qubit that helps in processing. Niobium metal acts as a superconductor below the
temperature of 9.2 Kelvin and thus exhibits quantum effects.
After reaching quantum state, current flows in two directions at the same time, which
helps the qbits to get in superposition. which means the particles can now have both 0 and 1
state at a given instant.
When the problem-solving process completed then the qbits loses its superposition
and at the ned collapses into the traditional one of the two states, 0 or 1.

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Quantum computer takes the advantage of quantum dynamics in order to improve and
accelerate the computational speed. With the improved computational power, it enables new
techniques to solve sampling problems, discrete optimization, and machine learning
computations.
Most of the Quantum computer systems depends on a process called quantum
annealing to solve a computational problem. Fundamentally Quantum annealing is different
from classical computing when compared. Quantum computer collects the natural tendency
of real-world quantum mechanics based systems in order to find low-energy states of
quantum in order to solve optimization problems through faster processing.
In Quantum Computer the Computation process is started by initializing the QPU
which is the abbreviation of “quantum processing unit.” The processing starts from a basic
stage of the given problem which is to be solved and annealing the system toward the
optimised problem.
The extensive computation power can be utilized in different domains which are
machine learning and sampling. Among the above two scenarios quantum computing is
largely used in the category of machine learning.
Different organizations are working together in order to develop computing
algorithms that will be able to leverage the speed of quantum-computing in order to process
machine learning problems better the classical or traditional computing. Even when it comes
to the state of the art in traditional computing resources the result of processing of machine
learning algorithms are quite but cannot match the results of Quantum computers.

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Rationale
The Quantum computer is selected for this blogpost as quantum computers will be
helpful in multiple aspects. One such aspect is analysis of microbes in order to develop or
create newer vaccines to avoid the disastrous effect of diseases. Analysis through the
quantum computers quantum computers could be used to reduce unwanted side effects.
According to different researchers the use of quantum computers will be essential in future in
order to achieve breakthrough success in preventative protocols for healthcare.
Quantum computers uses quantum bits (qubits) to hold data required in computing
process. Behaviour of each qubit is represented by the laws of quantum mechanics,
empowering qubits to be in a "superposition" state. Therefore, the qbits can be in both a 0 and
a 1 in the meantime, until an outside makes it stable in the traditional states.
For quantum effects take place in computation, the QPU requires an extraordinary,
segregated condition in which it can operate. The cooler and layers for any quantum
computer helps in creating high vacuum condition with a temperature near to zero that is
disengaged from outer vibration, magnetic fields, RF of any other system that may interact
with the quantum fields of the computer.
When compared to the conventional supercomputers that produce monstrous amount
of heat and devour monstrous measures of power whereas the quantum computers lie D-
WAVE consumes under 25 kW of power, the vast majority of which goes towards the
cooling and front-end servers. This low utilization has stayed consistent since the beginning
of quantum computer frameworks notwithstanding the extensive increment in the processing
speed with each progressive generation of the Quantum computers that are used in numerous
complicated processing’s. Presently the organizations like Google, NASA, IBM are working

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on improving the speed as well as performance of the Quantum computers for their AI
projects.