Quantum Computing

Quantum computing

Quantum computers exploit quantum mechanical phenomena to perform calculations exponentially faster than classical computers. They use qubits, which can exist in a superposition of two states, and are manipulated using quantum algorithms. National governments have invested heavily in research to develop scalable qubits with longer coherence times and lower error rates. In theory, a large-scale quantum computer could solve computational problems unsolvable by a classical computer.

2 courses cover this concept

CS 267: Applications of Parallel Computers

UC Berkeley

Spring 2020

The course addresses programming parallel computers to solve complex scientific and engineering problems. It covers an array of parallelization strategies for numerical simulation, data analysis, and machine learning, and provides experience with popular parallel programming tools.

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CS 162: Operating Systems and Systems Programming

UC Berkeley

Fall 2022

This course introduces operating systems design and related concepts. It covers topics like memory allocation, file systems, basic networking, transactions, and security. The course requires foundational knowledge in data structures, assembly language, C programming, and debugging. It aims to improve students' skills in debugging large programs and computational problem solving.

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