Learn to Code Google’s Quantum Computer with Cirq | Quantum Programming Tutorial

Today I want to show you how to write code for a quantum computer using Google’s Cirq. In 2019, Google announced that they have reached quantum advantage. Quantum advantage means that we have reached a threshold where a quantum computer can do something faster than a classical computer. This is HUGE for the field of quantum computing. Join this channel to get access to perks like voting on my next video and behind the scenes! Or sign up for the same perks on Patreon: 0:00 Let’s code “Hello Quantum!“ 0:56 Install Cirq 1:08 Google’s Quantum Hardware 1:41 import cirq and chip topology 2:51 Quantum gates 3:54 Build the circuit 5:38 Run the code 7:02 Project Ideas 8:11 Tensorflow Quantum There are three chips that Google has - Foxtail, Bristlecone, which has 72 qubits, and most recently Sycamore, released in 2016, 2017, and 2018. The Sycamore 54 qubit device was the one used for the arguably most famous quantum computing paper so far, Quantum Supremacy using a Programmable Superconducting Processor. As of right now, the Cirq code does not have access to the real Google quantum computer yet, unless you are an early partner in their program. Google has stated that they will welcome a new set of partners in 2021, so, even though you may not have access to the machines now, you can still use their programming language to build algorithms and use the quantum simulator to test out your circuits. Here’s the link to the code that we have here, both in notebook format and Python: Resources: Quantum Supremacy using a Programmable Superconducting Processor Pip install: Cirq documentation: Tensorflow quantum: Superdense coding examples: Contributing to Cirq: Low Difficulty/Good First Issue links: is:issue label:“difficulty: low“ is:issue label:“good first issue“ #quantumcomputing #cirq #google