A tutorial for the virtual workshop Machine Learning for Quantum 2021
This is a bit awkward. You are watching a recorded video. Some of you are watching it “live” at the workshop while I sleep — since it is the middle of the night here in Sydney. Perhaps, though, this video will be posted and sit on the internet somewhere in perpetuity. …
A Physicist’s Valentine’s Day Poem
Roses are red.
Violets are blue.
My heart loves all,
The quantum in you.
There’s so much in common,
Between two of us.
There’s a lot going on,
Under your skin.
From your head to your toes,
You’re made of this stuff.
To look on the outside,
Is never enough.
Inside and out,
Atoms and space,
To think of them all,
Makes my heart race.
Within each element,
There’s more going on.
Go deeper still, And you will find quarks — The building…
Or, what would Quantum Mario Bros. look like?
During a lecture for Introduction to Quantum Computing, the topic of the Quantum Zeno effect came up. We’ll get into the details of this, but essentially it says that — unlike a “watched pot” which eventually boils — a “watched quantum pot” never does boil. One of the students asked if this was similar to how Boo works in Super Mario Bros. The answer is almost, but no. However, we can use Boo to learn about quantum physics anyway!
Nineties kids and younger millennial hipsters will have fond memories of Boo, the…
Four quantum physicists are in a car. Heisenberg is driving like he is in The Matrix. Schrödinger is in the front seat waving at the other cars. Einstein and Bohr are in the back arguing when they get pulled over. The officer asks Heisenberg, “do you know how fast you were going?”
“No, but we know exactly where we are,” Heisenberg replies.
The officer looks confused and says, “you were going 120 km/h!”
Heisenberg throws his arms up and cries, “Great! Now we’re lost!”
The officer looks over the car and asks Schrödinger if they have anything in the trunk…
This lecture was given as part of Quantum Computing Through Comics series on Hackaday organised by Kitty Yeung. Kitty has drawn an amazing comic summary of this lecture as well! The recording of this lecture is available on Kitty’s YouTube channel:
You’ve done a bit of self-study. You’ve participated in quantum technology lectures. You’ve got an awesome certificate from Kitty — and had it printed on a mug! Maybe you’ve even implemented a quantum algorithm on a cloud-based quantum computer. By all accounts, you’re a quantum coder. That’s great, because I have a problem. Someone gave me this…
Welcome to Introduction to Quantum Computing. I am your guide, Associate Professor Chris Ferrie, a researcher in the UTS Centre for Quantum Software and Information. This is Lecture 8. It would probably be a good idea to have read the previous Lectures before continuing.
What did you learn last week?
Last week you were introduced to the Deutsch-Jozsa algorithm, which was the first computational algorithm to show a speed-up over any classical algorithm. You also learned about how to perform digital logic in a quantum computation and create quantum oracles.What will you learn this week? This week you will…
There is a magician on stage. It’s tense. Maybe it’s a primetime TV show and the production value is super high. The celebrity judges look nervous. There is epic build up music as the magician calls their assistant on stage. The assistant climbs into a box that is covered with a velvet blanket. Why a blanket? I mean, isn’t the box good enough? What a pretentious as… forget it, I’m ruining this for myself. OK, so the assistant is in the box with their head and legs sticking out. What the fuck? Who made this box, anyway? Damn it, I’m…
This is a talk I will give at the NQN Workshop on Quantum Programming in Theory, Experiment and Classroom. My talk is about flipped learning of quantum computation. It kind of behooves me then to provide the lecture material before class. So, dear attendees, here is the structure of your pre-talk reading assignment.
1) Audience | Who are you?
2) Problem | Lighting a global pandemic under my ass
3) Solution | The U(1) Transformed Learning Model
4) Tools | Don’t reinvent the wheel — steal an 18-wheeler!
5) Implementation | What does it look like? …
Welcome to Introduction to Quantum Computing. I am your guide, Associate Professor Chris Ferrie, a researcher in the UTS Centre for Quantum Software and Information. These are the notes for Lab 6. You should have already enjoyed Lecture 6. The syllabus is here:
In Lecture 6 you were introduced to superdense coding and quantum teleportation. We looked at the circuits and even built them with the Quirk drag-and-drop simulator. In this Lab you will build both protocols in the three programming languages you were assigned in Lab 4.
Welcome to Introduction to Quantum Computing. I am your guide, Associate Professor Chris Ferrie, a researcher in the UTS Centre for Quantum Software and Information. This is Lecture 7. It would probably be a good idea to have read the previous Lectures before continuing.
What did you learn last week?
Last week you were introduced to your first two quantum protocols: superdense coding and quantum teleportation. These clearly utilise entanglement as a resource to achieve a task not possible with classical bits.What will you learn this week? We will continue the theme of quantum advantages this week by studying…