What you’ll learn:
- What are virtual circuits (VCs)?
- Why VCs are better than quantum computing.
- How chatbots can help in the design of VCs.
Quantum computing promises to deliver impressive computing performance for certain types of problems. They don’t replace conventional computing systems but rather complement them by being able to address those select class of problems using quantum mechanics.
The size of a quantum computer is specified by the number of qubits. Qubits are analogous to bits in a conventional computer because it’s a measure of information. However, the comparison diverges when discussing how to program a quantum computer. The scope of this discussion is well beyond this article, but one of the attributes of quantum computers is performance.
Quantum computers can generate essentially all of the possibilities for a particular problem pretty much instantaneously, or so they say. In any case, that’s faster than the usual array of cores in a cloud computer but not faster than our virtual circuits (VC).
What are Virtual Circuits?
We had some help designing our virtual-circuit technology, but more on that later. VCs are essentially conventional analog and digital circuits in the virtual realm (Fig. 1). Since they’re virtual, they can run as fast as they want with no latency because natural laws can’t get in the way.
Of course, keeping the same functionality and layout as the real circuits means that all of the tooling needed to make a real system can be used for virtual circuits. They’re just constructed in the virtual space.
Making a virtual machine (VM) is just a matter of combining multiple virtual-circuit boards (VCBs). Keep in mind that these VMs are different than the VMs running under a hypervisor in a conventional computer. We just used the same terminology to confuse VC investors. You need a 64-bit VM to compare to a 1024-qubit quantum computer.
Comparing virtual-circuit performance was a challenge. Finding the right way to do it helped, since quantum computers and conventional circuits are so different. The chart shows how the three stack up against each other when computing all of the values for a square pi (Fig. 2). The results are circular in nature, but that has to do more with the quantum qubits.
You might think that VCs are hard to design, but you can do the same thing we did. We simply posed this question to our chatbot, GobblDGOOK:
“Design a class of circuits that breaks all laws and beats out a quantum computer in terms of performance and accuracy.”
We decided ChatGPT and Bing’s AI were too biased, so we built and trained our own.
Though it did come up with some silly results, we improved the results by eliminating natural laws from its training data. We limited it to laws approved, rejected, and reconsidered by the Supreme Count of the United States (SCOTUS) and the proposed laws from the U.S. House of Representatives. As you can see, the results were as expected. It just took until April 1st to get the results out to the world. Enjoy.