Quantum Computing

What is Quantum Computing?

Quantum computing offers a huge edge over classical systems for certain types of problems, especially those modeling fundamentally quantum systems. These problems don’t affect all businesses, but for certain applications (like semiconductor design, or modeling molecules with complex atomic interactions to develop new materials and pharmaceuticals), quantum computers can address problems that today’s most powerful HPC systems can’t.

Quantum computing does this by processing information in a way that’s radically different from classical computing. Where conventional systems store information in bits representing either zero or one, quantum computers use quantum bits, or “qubits,” which can be in a state of zero and one at the same time. Taking advantage of quantum properties like superposition and entanglement, they can perform massively parallel processing operations, calculating millions of possible outcomes at once.

Quantum computing is often held up as a solution to all our data-driven prayers. But is that true? Or are there quicker, more practical ways than quantum computing to solve those problems? To answer the question, first we have to understand the differences between digital computing, analog computing and quantum computing.