Everyone should know these 15 things about quantum computing
Quantum computers can solve problems that are impossible or would take a traditional computer an impractical amount of time (a billion years) to solve.
Virtually unbreakable encryption? Quantum computers will change the landscape of data security. Even though quantum computers would be able to crack many of today’s encryption techniques, predictions are that they would create hack-proof replacements.
Classical computers are better at some tasks than quantum computers (email, spreadsheets and desktop publishing to name a few). The intent of quantum computers is to be a different tool to solve different problems, not to replace classical computers.
Quantum computers are great for solving optimization problems from figuring out the best way to schedule flights at an airport to determining the best delivery routes for the FedEx truck.
Google announced it has a quantum computer that is 100 million times faster than any classical computer in its lab.
Every day, we produce 2.5 exabytes of data. That number is equivalent to the content on 5 million laptops. Quantum computers will make it possible to process the amount of data we’re generating in the age of big data.
In order to keep quantum computers stable, they need to be cold. That’s why the inside of D-Wave Systems’ quantum computer is -460 degrees Fahrenheit.
According to Professor Catherine McGeoch at Amherst University, a quantum computer is “thousands of times” faster than a conventional computer.
Superposition is the term used to describe the quantum state where particles can exist in multiple states at the same time, and which allows quantum computers to look at many different variables at the same time.
Rather than use more electricity, quantum computers will reduce power consumption anywhere from 100 up to 1000 times because quantum computers use quantum tunneling.
Quantum computers are very fragile. Any kind of vibration impacts the atoms and causes decoherence.
There are several algorithms already developed for quantum computers including Grover’s for searching an unstructured database and Shor’s for factoring large numbers.
Once a stable quantum computer gets developed, expect that machine learning will exponentially accelerate even reducing the time to solve a problem from hundreds of thousands of years to seconds.
Remember when IBM’s computer Deep Blue defeated chess champion, Garry Kasparov in 1997? It was able to gain a competitive advantage because it examined 200 million possible moves each second. A quantum machine would be able to calculate 1 trillion moves per second!
This year, Google stated publicly that it would produce a viable quantum computer in the next 5 years and added that they would reach “quantum supremacy” with a 50-qubit quantum computer. The top supercomputers can still manage everything a five- to 20-qubit quantum computer can, but will be surpassed by a machine with 50 qubits and will attain supremacy at that point. Shortly after that announcement, IBM said it would offer commercial quantum machines to businesses within a year.
Even though a true quantum computer is still not a reality, it’s clear that the race is on.