I'd suggest starting with the math, proceeding to quantum physics (which is the basis of quantum computing operations), and then the hardware of classical and quantum machines. At that point, you're probably ready for the papers and other resources.
What do you need to learn for quantum computing?
Therefore to study quantum computing, you will require a background in physics, mathematics, and computer science. This includes knowledge of exponents, vectors, sine waves, linear algebra, as well as probability and stochastic processes.4 Aug 2020
Is quantum computing hard to learn?
As you might have guessed, quantum computing is a complex field that's difficult for non-experts to understand. However, it is possible to grasp some of the fundamental concepts, giving you a basic understanding of how quantum computers work.15 Oct 2021
Is quantum computing hard?
Quantum computers are exceedingly difficult to engineer, build and program. As a result, they are crippled by errors in the form of noise, faults and loss of quantum coherence, which is crucial to their operation and yet falls apart before any nontrivial program has a chance to run to completion.10 Jun 2019
How long will it take to learn quantum computing?
TL;DR - anywhere between 6 and 18 months. If you have a hardcore theoretical CS background, you probably have a good grasp of: Complex numbers, linear algebra, Fourier transforms, probability, etc. If not, those are completely essential.
Is C++ used in quantum computing?
Quantum++ is a modern general-purpose multi-threaded quantum computing library written in C++11 and composed solely of header files. The library is not restricted to qubit systems or specific quantum information processing tasks, being capable of simulating arbitrary quantum processes.10 Dec 2018
What is the best quantum programming language?
- QCL. Quantum computing language is one of the first implemented quantum programming languages that resembles C language in regards to syntax and data types.
- QMASM. Quantum macro assembler was published in 2016.
- Silq.
- QML.
- Quantum Lambda Calculus.
- QFC and QPL.