Quantum techniques working with traditional computers
It turns out that classical computers may be able to solve some problems that we thought could only be solved using quantum computers. There has been a few recent cases of researchers finding ways to use quantum approaches with classical computers – and solving real problems.

Last year, researchers modeled a quantum spin glass system using the D-Wave Advantage2 quantum computer. An impressive feat that they claimed could only be solved by a quantum system.
Now, a team from the Flatiron Institute in the US has achieved similar results from a classic computer setup, with the key innovation being new compression algorithms that process the necessary mountain of math in a more efficient way.

The CCQ team achieved their breakthrough by developing and implementing new tools based on tensor networks, which Tindall likens to “a zip file for the wave function where you’ve taken all this information, and you’ve compressed it into this mathematical data structure full of these small tables of numbers that are interconnected to each other.”
The tensor networks made the problem feasible for classical computers. Tindall performed many of the initial calculations on a laptop computer using code from a high-performance tensor network software library developed at the CCQ called ITensor. The recently published simulations exemplify how the ITensor team is discovering new ways to repurpose tensor methods for novel applications. Those simulations capture the three-dimensional dynamics using a 3D tensor network.
So, even if quantum computers are still a few years away, the research is yielding fruits today.




