A Short Introduction to Quantum Computing for Physicists

• URL: http://arxiv.org/abs/2306.09388v2
• Date: Thu, 22 Aug 2024 17:33:50 GMT
• Title: A Short Introduction to Quantum Computing for Physicists
• Authors: Oswaldo Zapata,
• Abstract summary: The main target audience are professional physicists as well as advanced students of physics; however, engineers and computer scientists may also benefit from them. These notes provide an introduction to standard topics on quantum computation and communication for those who already have a basic knowledge of quantum mechanics.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: These notes provide an introduction to standard topics on quantum computation and communication for those who already have a basic knowledge of quantum mechanics. The main target audience are professional physicists as well as advanced students of physics; however, engineers and computer scientists may also benefit from them.

Related papers

• A Short Guide to Quantum Mechanics -- Some Basic Principles [0.0]
  It starts by asking whether quantum physics is important, or weird, or incomprehensible. It explains why particles sometimes behave like waves, and how uncertainty and randomness enter physics. Modern topics, like magnetic resonance imaging (MRI) and quantum computing are also covered.
  arXiv  Detail & Related papers  (2024-08-01T17:14:54Z)
• Lecture Notes on Quantum Electrical Circuits [49.86749884231445]
  Theory of quantum electrical circuits goes under the name of circuit quantum electrodynamics or circuit-QED. The goal of the theory is to provide a quantum description of the most relevant degrees of freedom. These lecture notes aim at giving a pedagogical overview of this subject for theoretically-oriented Master or PhD students in physics and electrical engineering.
  arXiv  Detail & Related papers  (2023-12-08T19:26:34Z)
• Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
  We explore the applicability of quantum-data learning to practical problems in high-energy physics. We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states. The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
  arXiv  Detail & Related papers  (2023-06-29T18:00:01Z)
• Quantum Machine Learning: from physics to software engineering [58.720142291102135]
  We show how classical machine learning approach can help improve the facilities of quantum computers. We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
  arXiv  Detail & Related papers  (2023-01-04T23:37:45Z)
• Recent Advances for Quantum Neural Networks in Generative Learning [98.88205308106778]
  Quantum generative learning models (QGLMs) may surpass their classical counterparts. We review the current progress of QGLMs from the perspective of machine learning. We discuss the potential applications of QGLMs in both conventional machine learning tasks and quantum physics.
  arXiv  Detail & Related papers  (2022-06-07T07:32:57Z)
• Standard Model Physics and the Digital Quantum Revolution: Thoughts about the Interface [68.8204255655161]
  Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress. From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
  arXiv  Detail & Related papers  (2021-07-10T06:12:06Z)
• Quantum Computing: an undergraduate approach using Qiskit [0.0]
  We present the Quantum Information Software Developer Kit - Qiskit, for teaching quantum computing to undergraduate students. We focus on presenting the construction of the programs on any common laptop or desktop computer and their execution on real quantum processors. The codes are made available throughout the text so that readers, even with little experience in scientific computing, can reproduce them.
  arXiv  Detail & Related papers  (2021-01-26T18:19:23Z)
• Simulating Quantum Materials with Digital Quantum Computers [55.41644538483948]
  Digital quantum computers (DQCs) can efficiently perform quantum simulations that are otherwise intractable on classical computers. The aim of this review is to provide a summary of progress made towards achieving physical quantum advantage.
  arXiv  Detail & Related papers  (2021-01-21T20:10:38Z)
• Quantum physics in secondary school -- milq [0.0]
  The aim is to achieve a conceptually clear formulation of quantum physics with a minimum of formulas. In order to provide students with verbal tools they can use in discussions and argumentations we formulated four "reasoning tools" They help to facilitate qualitative discussions of quantum physics, allow students to predict quantum mechanical effects, and help to avoid learning difficulties.
  arXiv  Detail & Related papers  (2020-12-30T14:06:11Z)
• Selected topics of quantum computing for nuclear physics [0.24466725954625884]
  Nuclear physics, whose underling theory is described by quantum gauge field coupled with matter, is fundamentally important. Quantum computing provides a perhaps transformative approach for studying and understanding nuclear physics. Digital quantum simulation approach for simulating quantum gauge fields and nuclear physics has gained lots of attentions.
  arXiv  Detail & Related papers  (2020-11-03T02:35:18Z)
• Teaching quantum information science to high-school and early undergraduate students [0.0]
  This program allows students to perform meaningful hands-on calculations with quantum circuits and algorithms. A combination of pen-and-paper exercises and IBM Q simulations helps students understand the structure of quantum gates and circuits.
  arXiv  Detail & Related papers  (2020-05-16T05:16:23Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.