Quantum Computing is the study of theoretical computation systems that make direct use of quantum mechanical phenomena, such as superposition and entanglement, to perform operations on data. Quantum computers are different from binary digital electronic computers based on transistors. Quantum computing is on the rise to conquer a new method of how we do systematic computations and mathematical problems. The idea of quantum computers is to produce a faster rate of solutions to problems that would take conventional computers years to solve. Currently IBM has a quantum computer called the IBM-Q, which was released March 17, 2017 set to be the future of technology. The IBM-Q is designed to help with medicine, supply-chain, logistics, financial services, and artificial intelligence, leading us into a new world of technology and innovation.
As you can probably tell from the video the exact mechanics behind quantum computing are still foreign to the average individual. This goes without say that we are some ways away from commercially sized quantum computers being present in every household, but with the increasing research and experimentation with quantum mechanics we could see them for sale in the next few years. This year IBM plans to allow the public to test the IBM-Q over the internet for a fee under the name of Quantum Experience. If you can’t wait for either of those and happen to have 15 million to spare you could go ahead and buy your very own D-Wave, the first official commercial quantum computer. This version of the quantum computer came to be when former D-Wave CEO Geordie Rose teamed up with Nasa’s Eric Ladizinsky. Because Ladizinsky was already an expert at superconducting quantum interference devices, also known as Squids, his teaming with Rose was a match made in heaven.
With Rose’s research and ambition to not only build, but sell, the world’s first quantum computer, and Ladizinsky’s expertise in the field they were able to come up with the design of the D-Wave. Rather than approach it with the same Gate Model being attempted by scientists researching quantum computing at the time, Rose and his team at D-Wave used another method known as annealing. Instead of linking together ions and photons together in logic gates, like the gate model, Ladizinsky found a way to make magnetic fields travel in opposite directions around niobium loops, placing the electrons in what we know as superposition. He achieved this by supercooling the niobium loops near absolute zero while quantum tunneling charges from one loop to another allowing the loops to act as functional qubits, with the magnetic fields representing the 0s and 1s of conventional machines.
Quantum Computing, as we know is the future and is surpassing many other computing systems in the running. Artificial Intelligence and machine learning have adapted to learning new things and being able to solve problems. However, Quantum computing is definitely processing at a much faster rate than any computer now. Making it the next jump in society being the brains behind the operation. Quantum computing also does have many correlations within different sectors, such as; energy, education and machine learning. Knowing how much power it takes to generate a quantum computer, how much energy would it take to produce multiple quantum computers help with businesses and science. The implications it can have on education, which can be teaching students at a more efficient rate, or enhancing institutions with more current and updated systems. How fast can a quantum computer learn without being programmed to be taught a problem and the methods it takes to enhance its capabilities?