In traditional silicon computers, data is represented in binary bits that are always in one of two states: either a 1 or a 0. However, in a quantum computer each quantum bit, or “qubit,” can represent both a 1 and a 0 at the same time through a principle called superposition. What this means is that a quantum computer can perform multitudes of calculations simultaneously; harnessing millions of qubits could, in a matter of minutes, process data and solve problems that would tie up today’s fastest supercomputers for a century.
Since 2016, when we first began tracking successful experiments of quantum computational operations executed on a very small number of quantum bits, more companies (such as Alphabet, IBM, Microsoft, and Nokia Bell Labs) have been moving from the lab to engineering development and even commercial experiments. The implications of large-scale quantum computers will be staggering. With such orders of magnitude improvement in computing power expect to see leaps forward in machine learning, artificial intelligence, and simulation modelling. At the same time, quantum computing could pose a threat to traditional encryption security measures that operate on the fundamental assumption that the encryption is too complex to break in a reasonable amount of time given prevailing computing speeds.
While it’s still early days and many challenges exist in the development of Quantum Computing, we cannot help but imagine the possibilities which could have a fundamental disruptive impact on the current technology market as we know it.