3. Agenda
01. Introduction to Quantum computing
02. Key Concepts in Quantum Computing
03. Classical VS Quantum Computing
04. Quantum Gates and Circuits
05. Applications Of Quantum Computing
06. Challenges in Quantum Computing
07. Quantum Computing Companies and Research
08. Future of Quantum Computing
09. Conclusion
4. What is the Quantum Computing ?
Quantum computing is a type of computation that harnesses quantum mechanics
to process information.
A computer that uses laws of quantum mechanics to perform massively parallel
computing through superposition, entanglement, and decoherence.
Instead of looking at quantum systems purely as phenomena to be explained as they
are found in nature , they looked at them as systems that can be designed and user
for computation.
Richard Feyname
Nobel Prize,1965
5. A qubit's ability to exist in multiple states at once,
allowing quantum computers to perform parallel
computations.
Superposition
Operations that manipulate qubits' states, similar
to classical logic gates but capable of transforming
qubits in more complex ways, such as creating
superposition or entanglement.
Quantum Gates
A quantum phenomenon where qubits become
linked, such that the state of one qubit is directly
dependent on the state of another, regardless of
distance
Entanglement
The process by which quantum states combine in
such a way that probabilities can cancel out or
amplify, influencing the outcome of computations.
1. Quantum Interference
The fundamental unit of quantum information,
representing 0, 1, or both simultaneously due to
superposition
Qubits
What are the Concept in Quantum Computing ?
6. 01
04
02
03
Performs calculations sequentially.
Given the same input, always produces the same output.
Excellent for everyday tasks, software, and existing
algorithms.
Uses bits (0 or 1) for data.
Classic Computer
7. Quantum Computer Growth Quantum Computer Current Growth
Uses qubits (superposition, entanglement)
for potential exponential speedups.
Aims to solve complex problems beyond
classical limits (factoring, simulations).
Increasing qubit counts and stability.
Advancements in error correction.
Growing investment and research.
Works alongside classical computers (classical
controls quantum).
8. Classical Computing Quantum Computing
Used large-scale, multipurpose computer and
devices
Used by high-speed, quantum mechanics-
based computers.
Information is stored in bits. Information is stored in quantum bits.
There is discrete number of possible states : 0
or 1
There is an infinite, continuous number of
possible states.
Calculations are deterministic, meaning
repeating the same input result in the same
output.
Calculations are probabilistic, meaning there
are multiple possible outputs to the same
input.
Data processing is carried out by logic and in
sequential order.
Data processing is carried out by quantum
logic at parallel instances.
Operations are defined by Boolean algebra Operations are defined by linear algebra over
Hilbert space.
Circuit behavior is defined by classical physics Circuit behavior is defined by quantum
mechanics.
Classical Computing VS Quantum Computing
9. Quantum Gate
A quantum gate (or quantum logic gate) is a basic
quantum circuit operating on qubits.
.
Quantum gates manipulate qubits, changing
their quantum states. They are the basic building
blocks of quantum algorithms.
Due to the normalization condition every gate
operation U has to be unitary: UU* = I
The number of qubits in the input and output of
the gate must be equal ; A gate which acts on n
qubits is represented by 2 x 2 unitary matrix
11. ng
Quantum Decoherence
Qubit Scalability
Qubits are extremely fragile and susceptible to environmental noise.
This noise causes them to lose their quantum properties, leading to
errors
Building quantum computers with a large number of stable qubits
is difficult.
Maintaining coherence and control as the number of qubits
increases is a major hurdle.
Quantum Error Correction
Hardware Reliability
Errors are far more frequent in quantum computers than in
Classical ones.
Developing effective error correction techniques is complex
and resource-intensive
Quantum hardware is highly sensitive and prone to failures.
Ensuring the reliability and stability of quantum systems is
crucial.
Challenges in Quantum Computing
12. Quantum Computing Companies and Research
1. IBM
2. Google
3. Microsoft
4. Honeywell
5. D-Wave Systems
6. Intel
7. Alibaba Group
8. Xanadu
14. Quantum computers surpass classical ones by
leveraging superposition and entanglement for
faster computations, with applications in healthcare,
cybersecurity, AI, and finance. Despite challenges
like error correction and hardware reliability, ongoing
advancements are driving quantum computing
toward a transformative future.
CONCLUSION