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?