The 3 Essential Types of Quantum Computers And Their Applications

Quantum computing works on quantum mechanics, like superposition and entanglement. This simply means that quantum computers use qubits instead of bits making computers unimaginably faster in solving complex problems.

For instance, a classical computer works on 0’s and 1’s to store data and these numbers could easily be placed on voltages at a different point in a circuit. But with qubits, it is different. Qubits possess a unique property as such that existing in a superposition is possible at the same time – meaning both 1 and zero can be entangled thus sharing the same physical properties despite the distance.

Due to superposition, a quantum computer having 100 qubits represents 2100 solutions at the same time. Tech giants like Microsoft, IBM, and Google have started building models that have the capability of replicating the circuit model of a classical computer.

In this infographic, we will talk about the three different types of quantum computing.

1. Quantum Annealer

Quantum annealing is defined to be the generic solver for optimization problems. Researchers are still finding ways to explore the most efficient configurations amongst multiple possible combinations of variables. Quantum annealing is still projected as the least powerful and narrow usage of quantum computing.

2. Analog Quantum Simulations

Analog quantum simulators help in addressing physics problems that are way beyond the ability of classical systems. Quantum simulators solve some of the toughest biochemistry problems such as simulating a protein folding. For instance, misfolded proteins tend to cause diseases such as Parkinson’s and Alzheimer’s. Therefore, with the help of random computing model researchers will be able to test which drugs can be used for treatments.

3. Universal Quantum

Heralded as the most powerful and most generally used quantum computing, universal computing is the hardest to build. Ideally, universal computing is said to access more than 100,000 qubits i.e. 1M qubits. In the present time, we can hardly access 129 qubits.

The goal or major idea behind universal computing is to direct the machine at any complex computation situation and yet get the best and quick solution.

In the distant future, quantum computing will enable industries to overcome problems that were once impossible to solve. For example, pharmaceutical companies could benefit from accelerating the discovery of newer drugs, transportation companies can have their logistics problems optimized, finance companies will be able to create newer trading strategies, oil companies can calculate how atoms and molecules could be configured to help protect equipment from corrosion, and airlines to seek an optimal pathway in storing spare parts at airports.

The disruption is nearing, how prepared are you?

types of quantum computing and their applications

admin
Start your journey of knowledge with brainstorming box. Our mission is to make learning easier and Interesting than it has ever been. Each day, we curate fascinating topics for those who pursue knowledge with passion.

AI Winter Skepticism: Where We’re Heading?

AI winter! Are we at the tipping point of an AI winter or has it channeled over the years? Rethink Robotics, a Boston-based robotics company founded...

You’ve Heard of Black Holes. But ‘White Holes’ Might Blow Your Mind

Most of us are aware of the black hole, what does it mean and what exactly it does and most recently...

Five wildest predictions of Stephen hawking for the future

Stephen Hawking was a brilliant astrophysicist who inspired us. This visionary physicist is an intellectual leader in the study of black holes, quantum mechanics,...

What Are Wormholes? Could We Really Travel Through Them?

The human curiosity is one such element of the psyche that simply can never be quenched, especially when it comes to space travel. Did...

Why Does Space Appear Black?

Have you ever asked yourself this question? Why is there so much light on earth but almost none once you leave our planet? Well is...

What Do You Think About Natural Language Processing

From being valued at USD 10.93 billion in 2019 to USD 34.80 billion by 2025, the natural language processing market will rule the AI...