Researchers of LANL (Los Alamos National Laboratory) wrote the beginner's guide to quantum programming.

"A new guide on programming quantum algorithms leads programmers through every step, from theory to implementing the algorithms on IBM’s publicly accessible 5-qubit ibmqx4 quantum computer and others". (Scitechdaily.com/A Beginner’s Guide to Quantum Programming)

The reason why quantum computers are under development is that they can drive complicated AI algorithms. But those algorithms are not formed from nothingness. There must be programmers who are making those algorithms that are driving robots independently on the streets. 

 "ACM Transactions on Quantum Computing" is the quantum programming handbook. The researcher's team at Los Alamos National Laboratory is behind that handbook. You can also find those people's names can find in the publication and link below this text. 

You can also find more information about that book on the ACM (Association for Computing Machinery) homepages or other homepages by using the keywords " "ACM Transactions on Quantum Computing". 

Making quantum algorithms is different than making binary algorithms. The requirement for that new skill is the knowledge of quantum principles and mathematics behind them. The thing is that quantum computing is a quite new field in computing. And that means almost all people are rookies with that thing. 

The ability to make code for the system requires that the programmer knows about how the system works. When the rules of that system are becoming public, there would be more programmers who can make software for those systems. And that increases the spread of the quantum systems.

Making smooth and effective quantum systems that are as easy to use as modern binary systems requires deep knowledge of the work of quantum computers. When quantum computers are turning more common the knowledge about their work increases. And when the number of developers of physical computers and software solutions is increasing, that will increase the development of quantum computers. 

As I many times wrote more programmers are noticing errors better than one. And when the new application developers are involved in the quantum computers that make them easier to use. Maybe quite soon, the use of quantum computers is easy as the use of  Windows, Linux, or UNIX computers. And maybe sooner than we even think there would be the possibility to use quantum computers without binary interfaces. 

Maybe in the future, we can use algorithms to program human brains. The idea is that the algorithm makes synthetic EEG which involves some skills. And that synthetic EEG will be driven to the brains by using modified electric shock systems. When the data is driven to the brains by using cortex stimulation the brains cannot resist that data. 

When we are thinking about the future of computing, we must realize one thing. Some quantum computers of tomorrow are emulating the human brains. And some visions cloned neurons can use as computers. This thing makes it possible that in the world of tomorrow, some programmers will program algorithms for those half-organic microchips. The idea is that the living neuron will control computers through the microchips. 

And that thing brings an induction vision to my mind. Maybe someday we can write algorithms for the human brain. That means we can make the synthetic EEG and use that thing as the computer program, that programs humans. That thing brings an ability to learn new skills in seconds. 

But that same thing brings a new type of responsibility to programmers. The fact is that synthetic EEG can make a revolution in training and education. 

Sources: 

https://scitechdaily.com/a-beginners-guide-to-quantum-programming/