![]() Other NISQ triumphs are recent experiments simulating random quantum circuits, again a highly specialized task of no commercial value whatsoever. It also did not reveal anything about the fundamental physics of time crystals. The experiment was an impressive showcase of electronic control techniques, but it showed no computing advantage over conventional computers, which can readily simulate time crystals with a similar number of virtual qubits. I am not sure what this object is: How noisy? How many qubits? Why is this a computer? What worthy problems can such a NISQ machine solve?Ī recent laboratory experiment at Google has observed some predicted aspects of quantum dynamics (dubbed “time crystals”) using 20 noisy superconducting qubits. The great difficulty in getting rid of decoherence has led to the impressive acronym NISQ for “noisy intermediate scale quantum” computer-for the idea that small collections of noisy physical qubits could do something useful and better than a classical computer can. Physicists are smart as we all know (disclosure: I am a physicist), and some physicists are also very good at coming up with substantive-sounding acronyms that stick. It is unclear whether extensive quantum error correction or topological quantum computing (or something else, like a hybrid between the two) will be the eventual winner. But it turns out that developing topological quantum-computing hardware is also a huge challenge. But the Φ-Λ type of non-Abelian anyons are, so they let us try out doing error correction for non-Abelian anyons without straying too far from the ℤ 10 problem.ģ This was the most horrible and technical paragraph in the post.There are in fact ideas, and I played some role in developing the theories for these ideas, for bypassing quantum error correction by using far-more-stable qubits, in an approach called topological quantum computing. Here is a good place to start.Ģ Non-Abelian anyons aren't usually so closely related to Abelian ones like this, especially the ones that can do quantum computation. Check out the rest of this blog if you want to know all the details. ![]() If you let the gang get too big before correcting it, the effects of their crimes may remain. Just make sure to follow the normal scientific conduct by acknowledging for giving you the idea.ġ This is not entirely true. It's all for the good of science, so it can only be a good thing. If you think that others would enjoy them, you could also release it to the public. But you can also try to implement them yourself, and have your own personal version of the app. If you'd like to see a few new features, you can of course let us know. With that, you'll be able to see how I hacked it together. Soon we will release the source code to the game. We are doing it for science! If someone takes something that a scientist or mathematician has produced and does something new with it, it's never anything but awesome. There's no charge or ads for anything we do. When a mobile app gets successful, it often gets cloned. Here is a good place to start (everything before that post is a prequel). If you want to know even more, check out the rest of this blog. So check out either Decodoku or Dec odoku :Puzzles to get going. In fact, it's more than you need to know. This is all you need to know to get on and do some science. Φ-Λ and finding out how to consistently get high scores is just the beginning. In fact, no-one has proven that error correction for these non-Abelian anyons can be done well enough to use them for quantum computation. That would make them so useful for quantum computation.Ĭorrection for them. If us normal scientists use your results in our work, we'll make sure to acknowledge it too.Ĭombining non-Abelian anyons is an uncertain business: we don't always know what is going to happen. One scientific tradition that you should uphold is to cite your sources: If you've been inspired by someone else's work, give them a bit of credit for it. Just remember to stay safe on the internet. You are free from the bounds of tradition, and can use whatever means you want to tell people about your results, from a long technical PDF to a Let's Play or gif. It's about discovering things, solving problems and then telling people what you've done. Tradition dictates that us normal scientists and mathematicians need to write papers and send them to journals, but that's not what science and maths are all about. That's great! Even the smallest thing could help us, orĭon't need to write a big complicated research paper with graphs andįigures to help us out. Maybe you'll just have aįew tips and tricks you've found do some good. Able to explain exactly what your method is.
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