What is Quantum Computing: All You Need to Know

4 September 23

It is more than likely that lately your news feed is inundated with headlines about quantum computing. But what exactly is quantum computing? Well here are the main facts to keep you up to date.

Quantum computing is where physics and computer science intertwines, it is poised to revolutionize the way complex problems are solved, problems that are currently beyond the capabilities of normal computers.

Both the most advanced computers today and the one that you use to send e-mails and check social media are based on a binary system that could trace its roots back to the 16th century. Quantum computing, however, leverages quantum bits and qubits. Unlike bits in a traditional computer, that can only exist in a single state, qubits can exist in multiple states simultaneously. This phenomenon is known as superposition. This particular property allows quantum computers to perform multiple calculations at once.

In addition, qubits can be dependent on one another, even if they are physically separated. This connection allows quantum computers to solve certain problems much more efficiently than traditional computers.

Quantum computing is still in its infancy – there are still many engineering challenges to overcome, such as maintaining the fragile quantum states and reducing errors. But tech giants like IBM, Google, and Rigetti are making significant strides in building increasingly powerful quantum processors. Quantum computers are already beating traditional supercomputers at specific tasks, showing the future potential of this technology.

Google’s quantum supremacy experiment in 2019 marked a milestone in demonstrating the computational capabilities of quantum processors. Companies are also exploring quantum cloud computing, allowing users to access quantum resources over the internet, making this cutting-edge technology more accessible for researchers and businesses alike.

Once viable quantum computers will be an integral part of cryptography, material science, drug discovery, and optimization problems.

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