Entangling Disciplines: Causality, Entropy and Time-Travel Paradoxes on a Quantum Computer

• URL: http://arxiv.org/abs/2506.15909v1
• Date: Wed, 18 Jun 2025 23:07:07 GMT
• Title: Entangling Disciplines: Causality, Entropy and Time-Travel Paradoxes on a Quantum Computer
• Authors: Maria Violaris,
• Abstract summary: In this paper, I will discuss how we can cross quantum computing with topics in fundamental physics.<n>By outlining quantum circuit experiments that can be run on current and near-term quantum computers, I demonstrate how to help learners engage with principles in special relativity, general relativity and thermodynamics.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Merging disciplines has led to incredible learnings and breakthroughs throughout history, including the discovery of quantum computing: a cross between computation and quantum physics. In this paper, I will discuss how we can cross quantum computing with topics in fundamental physics. This leads to fruitful, interactive learning opportunities that fuse deep open physics problems with key insights about quantum information science. By outlining quantum circuit experiments that can be run on current and near-term quantum computers, I demonstrate how to help learners engage with principles in special relativity, general relativity and thermodynamics. In turn, these connections can advance their understanding of quantum computing. Learners can further explore the quantum computing activities in this paper via the Quantum Paradoxes content series of videos, blogs and code tutorials that I created with IBM Quantum.

Related papers

• The Quantum Internet (Technical Version) [4.673899568189874]
  Following the emergence of quantum computing, the subsequent quantum revolution will be that of interconnecting individual quantum computers at global level.<n>This work examines in detail how the quantum internet would evolve in practice, focusing not only on the technology itself but also on the implications it will have economically and politically.
  arXiv  Detail & Related papers  (2025-01-21T13:04:06Z)
• Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning [54.80832749095356]
  Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. This paper introduces quantum computing for the machine learning paradigm, where variational quantum circuits are used to develop QML architectures.
  arXiv  Detail & Related papers  (2024-11-14T12:27:50Z)
• 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)
• Hello Quantum World! A rigorous but accessible first-year university course in quantum information science [0.0]
  Hello Quantum World! introduces a broad range of fundamental quantum information and computation concepts. Some of the topics covered include superposition, entanglement, quantum gates, teleportation, quantum algorithms, and quantum error correction.
  arXiv  Detail & Related papers  (2022-09-25T18:59:47Z)
• The Physics of Quantum Information [0.0]
  I review four intertwined themes encompassed by this topic: Quantum computer science, quantum hardware, quantum matter, and quantum gravity. In the longer term, controlling highly complex quantum matter will open the door to profound scientific advances and powerful new technologies.
  arXiv  Detail & Related papers  (2022-08-17T04:35:36Z)
• 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)
• Inclusive learning for quantum computing: supporting the aims of quantum literacy using the puzzle game Quantum Odyssey [1.0499611180329804]
  Quantum Odyssey is a new piece of computer software that promises to be a medium where people can learn quantum computing without any previous requirements. It aims to achieve this through visual cues and puzzle play, without requiring the user to possess a background in computer coding or even linear algebra. We report our findings on a UKRI Citizen Science grant that involves using Quantum Odyssey to teach how to construct quantum computing algorithms.
  arXiv  Detail & Related papers  (2021-06-13T19:50:30Z)
• 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 walk processes in quantum devices [55.41644538483948]
  We study how to represent quantum walk on a graph as a quantum circuit. Our approach paves way for the efficient implementation of quantum walks algorithms on quantum computers.
  arXiv  Detail & Related papers  (2020-12-28T18:04:16Z)
• Quantum Information for Particle Theorists [0.0]
  Lectures given at the Theoretical Advanced Study Institute (TASI 2020), 1-26 June 2020. The topics covered include quantum circuits, entanglement, quantum teleportation, Bell inequalities, quantum entropy and decoherence. Links to a Python notebook and Mathematica notebooks will allow the reader to reproduce and extend the calculations, as well as perform five experiments on a quantum simulator.
  arXiv  Detail & Related papers  (2020-10-06T18:00:02Z)

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.