Quantum Computing–Top Questions Answered

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As researchers find ways to scale qubits up and stabilize quantum computers, the potential for quantum computing continues to grow.

www.eetasia.com, Jan. 11, 2023 – 

As breakthroughs in quantum computing accelerate, attention and investment are gaining momentum from commercial, governmental, and industrial sectors.

Let's separate the facts from the hype around this revolutionary computing science.

What is quantum computing in simple terms?

When you run multiple programs on your phone, tablet, or laptop, the device heats up, the processor slows down, and your battery drains quickly. There is a direct correlation between the data volumes and energy requirements needed to run a computational program.

Quantum computers can develop new ways to tackle the most complex computational problems more efficiently. Quantum bits, or qubits, can exist in the binary [0] and [1] states of classical bits or in both states simultaneously, allowing them to store an immense amount of data without the corresponding energy requirement. Each additional qubit exponentially increases quantum computing processing power without increasing power consumption.

As researchers find ways to scale qubits up and stabilize quantum computers, the potential for quantum computing continues to grow. Currently, researchers are investigating ways to scale up the number of qubits a quantum computer can use. This is critical to creating commercially viable quantum computers.

How quantum and classical computers are used

Contrary to popular belief, quantum computers will never replace classical computers. Quantum computing's real value is in its ability to run calculations in a tiny fraction of the time it would take for a classical computer.

Classical computers, on the other hand, remain ideally suited for everyday computer processing needs. Quantum computers have the potential to perform multiple complex calculations simultaneously, augmenting classical computers by performing complicated optimization challenges and analyzing large data sets and simulations.

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