In 2013, Google and the National Aeronautics and Space Administration (NASA) agency partnered to develop the Quantum Artificial Intelligence Lab, home to the Quantum D-Wave quantum computer. Generally hailed as the future of high-performance computing, quantum computing is a field that has interested researchers for a long time.
In theory, quantum computers are much faster because they are different from conventional computers at a fundamental level. While traditional computers rely on bits in 0 or 1, quantum computers allow “qubits,” which exist as 0, 1, or both simultaneously. So while a classical computer will sequentially explore solutions to optimisation problems, quantum systems can search through potential solutions simultaneously and generate thousands of alternative answers.
But D-Wave has not come without its share of controversy, as there are researchers who have questioned whether the computer makes full use of quantum effects. To this end, Google published results that claim to show that the D-Wave 2 (DW2) does indeed make use of quantum effects to decipher problems. Through experiments against regular computers, the team was able to compare each machine solve optimization problems in a process known as annealing.
To followers of scientific research like Experimentor_4u, the results are fascinating, if only because they show progress in the field of quantum computing. Currently undertaking a Ph.D. of Astronomy, Experimentor_4u has established various blogs to share research information and provide the public with insights on scientific research. His hopes are that the information he shares will inspire young people to develop an interest in science.
The basics
Essentially, quantum computers rely on quantum physics. Rather than rely on binary digits (bits) that can only be represented as 0 or 1, quantum computers rely on quantum bits (qubits) to compute data and execute operations.
A simple illustration would perhaps best illustrate the vast ability that quantum computing holds. Taking a normal coin, it would be fair to assume that it either shows a head or tail. In quantum computing, the coin can be showing any number of positions between the two states – 30 percent head and 70 percent tail, or 25 percent tail and 75 percent head, and so on. Because qubits can take on a wide range of values, even a small number of them can hold a vast amount of information; this what makes quantum computing fascinating to the research community. Just 100 qubits can store more than a trillion times the storage capacity of classical computers.
Building the system
In order for Google’s DW2 quantum computer to maximize the quantum effects, the setup requires very precise conditions. For starters, the temperature has to be a couple of degrees above absolute zero – minus 273.15 degrees Celsius; a physically impossible temperature to reach – and the computer placed in a vacuum that’s billions of times lower than normal atmospheric pressure. The machine also has to be heavily shielded against magnetic interference.
While achieving this kind of environment is surprisingly easy (with the right resources), creating a quantum computer is not easy. The technology for building computers that make use of conventional bits is well known; creating qubits is less clear-cut. This is because, for the research community, there are various techniques to consider. From trapping ions to using superconductors and other optical apparatus, the techniques can be said to achieve the same goal, but only on a small scale.
Impact
It still remains to be seen the impact of quantum computing on traditional markets. The current quantum computing setups rely on liquid nitrogen to cool and expensive, intricate designs. The costs for manufacturing supercomputers may reduce with the introduction of more efficient methods, but as long as the requirement for liquid nitrogen remain, quantum systems will be far and few.
For the likes of Google and NASA, which are constantly looking for more computing power to handle their large datasets, the value to advancing quantum computing in the long term is clear. There’s no telling the kind of insights these entities can draw out of having the virtually limitless computing power that quantum computers can provide. Still, the companies could be investing in quantum computing simply for research purposes, and have seen enough potential in D-Wave to keep the project going.
Regardless, quantum computing has some ways to go before it can work for the mass market. If the research community can create quantum computers, it will have to do so without the drawbacks seen on the DW2 (temperature, magnetic shielding) to make it appealing to the consumer market. The power of qubits can work its way into consumers’ homes if there was a way to sell computational time and enable individuals to access it on a screen, thus serve thousands of customers with a single quantum setup, but that would also require much better internet infrastructure.