Can quantum computers solve the traveling salesman problem?
A quantum computer can solve classes of problems that no classical computer can efficiently solve, and perhaps that will someday include the travelling salesman problem. When your brute force options are too expensive and an efficient algorithm eludes you, don’t give up on ever solving the problem altogether.
How do quantum computers calculate?
Quantum computers perform calculations based on the probability of an object’s state before it is measured – instead of just 1s or 0s – which means they have the potential to process exponentially more data compared to classical computers. A single state – such as on or off, up or down, 1 or 0 – is called a bit.
How is quantum computing solving the traveling salesman problem?
The quantum computing revolution might yet make it possible. + Finding the most efficient route between a large number of nodes — the essence of the traveling salesman problem — has a myriad of practical applications. It shows up in DNA sequencing. It appears in the planning and manufacture of microchips.
Are there any possible solutions to the traveling salesman problem?
Assuming you know that you begin and end at your home, there are six possible routes you can take… Even if no such solution exists, and it might not with a classical computer, the world of quantum computers offers unparalleled hope.
How is quantum computing used to solve combinatorial optimization problems?
In this post, I analyze how quantum computing, specifically Quantum Approximate Optimization Algorithms (QAOA) can be used to solve combinatorial optimization problems, specifically the Traveling Salesman Problem.
How to send a problem to a quantum computer?
If you are curious about what this code looks like (either for D-Wave or other types of quantum computers), you can take a look at our repository with the quantum TSP solver. 4. Sending problem to the Quantum Computer Now that we have our QUBO, we can send it to D-Wave.
https://www.youtube.com/watch?v=Ufsmk1HTPBU