The race to build a scalable and viable quantum computer is driven by the thirst to create an extremely fast and powerful device -- one that would make today's computers look like old, doddering abacuses by comparison. Consider this, then -- if one quantum computer can be orders of magnitude more powerful than its conventional counterpart, what can a series of interconnected quantum computers achieve? It is this question that motivated researchers at Sandia National Laboratories in Albuquerque, New Mexico, and Harvard University to demonstrate a technique for connecting, or "bridging," quantum computers at an atomic scale. "People have already built small quantum computers," Ryan Camacho, a researcher at Sandia National Laboratories, and co-author of a study detailing the process, said in a statement. "Maybe the first useful one won't be a single giant quantum computer but a connected cluster of small ones."
From the start of computing history, the power of our CPU's is growing exponentially. Henceforth allowing the computer systems to be smaller and more powerful, but this joy ride is about to come to an end. To understand why, first we need to understand the greatest prediction of the 20th century which held on for more than 50 years. Yes, I am talking about the Moore Law, which is named after the Gordon Moore cofounder of Fairchild Semiconductors and CEO of the Intel. The number of transistors in a dense integrated circuit, double about every two years, though the cost of the system is halved.
Here we discussed the advantages and limitations of seven key qubit technologies for designing efficient quantum computing systems. The seven qubit types are: Superconducting qubits, Quantum dots qubits, Trapped Ion Qubits, Photonic qubits, Defect-based qubits, Topological Qubits, and Nuclear Magnetic Resonance (NMR) . They are the seven pathways for designing effective quantum computing systems. Each one of them have their own limitations and advantages. We have also discussed the hierarchies of qubit types.
For scientists developing new drugs, knowing the structure of the molecules involved down to the atomic level can mean the difference between a new treatment and failure. Current imaging techniques are unable to work out the structure of some key proteins and other important biological molecules, leading to gaps in knowledge. But researchers in Australia are looking to an offshoot from quantum computing to solve the problem, essentially developing quantum MRI scanners to image individual atoms, which could lead to the development of new drugs. In a mind-bending piece of theoretical research, a team at the University of Melbourne is hoping to use quantum bits to'sense' individual atoms. More known for their role in quantum computing, quantum bits, or qubits, are the able to encode multiple states at once, compared with the traditional binary of 1's and 0's.
In 1972, at the age of ten, I spent a week somewhere near Windsor – it's hazy now – learning how to program a computer. This involved writing out instructions by hand and sending the pages to unseen technicians who converted them into stacks of cards punched with holes. The cards were fed overnight into a device that we were only once taken to see. It filled a room; magnetic tape spooled behind glass panels in big, grey, wardrobe-sized boxes. The next morning, we'd receive a printout of the results and the day would be spent finding the programming faults that had derailed our calculations of pi to the nth decimal place.