The promises and challenges of many-body quantum technologies: a focus on quantum engines

• URL: http://arxiv.org/abs/2404.10459v1
• Date: Tue, 16 Apr 2024 10:58:57 GMT
• Title: The promises and challenges of many-body quantum technologies: a focus on quantum engines
• Authors: Victor Mukherjee, Uma Divakaran,
• Abstract summary: We look at quantum engines, where recent studies indicate potential benefits through the harnessing of many-body effects. However, open questions remain regarding their real-world applications.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Can many-body systems be beneficial to designing quantum technologies? We address this question by examining quantum engines, where recent studies indicate potential benefits through the harnessing of many-body effects, such as divergences close to phase transitions. However, open questions remain regarding their real-world applications.

Related papers

• Quantum Information Processing, Sensing and Communications: Their Myths, Realities and Futures [61.25494706587422]
  The state-of-the-art, knowledge gaps and future evolution of quantum machine learning are discussed. We conclude with a set of promising future research ideas in the field of ultimately secure quantum communications.
  arXiv  Detail & Related papers  (2024-12-01T22:28:02Z)
• Quantum Computing: Vision and Challenges [16.50566018023275]
  We discuss cutting-edge developments in quantum computer hardware advancement and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers. Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a broader debate.
  arXiv  Detail & Related papers  (2024-03-04T17:33:18Z)
• Towards Quantum-Native Communication Systems: New Developments, Trends, and Challenges [63.67245855948243]
  The survey examines technologies such as quantum-domain (QD) multi-input multi-output (MIMO), QD non-orthogonal multiple access (NOMA), quantum secure direct communication (QSDC) The current status of quantum sensing, quantum radar, and quantum timing is briefly reviewed in support of future applications.
  arXiv  Detail & Related papers  (2023-11-09T09:45:52Z)
• Quantum algorithms: A survey of applications and end-to-end complexities [90.05272647148196]
  The anticipated applications of quantum computers span across science and industry. We present a survey of several potential application areas of quantum algorithms. We outline the challenges and opportunities in each area in an "end-to-end" fashion.
  arXiv  Detail & Related papers  (2023-10-04T17:53:55Z)
• Quantum Machine Learning Implementations: Proposals and Experiments [0.0]
  The article reviews specific high-impact topics such as quantum reinforcement learning, quantum autoencoders, and quantum memristors. The field of quantum machine learning could be among the first quantum technologies producing results that are beneficial for industry and, in turn, to society.
  arXiv  Detail & Related papers  (2023-03-11T01:02:16Z)
• 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)
• Assessing requirements to scale to practical quantum advantage [56.22441723982983]
  We develop a framework for quantum resource estimation, abstracting the layers of the stack, to estimate resources required for large-scale quantum applications. We assess three scaled quantum applications and find that hundreds of thousands to millions of physical qubits are needed to achieve practical quantum advantage. A goal of our work is to accelerate progress towards practical quantum advantage by enabling the broader community to explore design choices across the stack.
  arXiv  Detail & Related papers  (2022-11-14T18:50:27Z)
• Architectures for Quantum Information Processing [5.190207094732672]
  Quantum computing is changing the way we think about computing. Quantum phenomena like superposition, entanglement, and interference can be exploited to solve issues that are difficult for traditional computers. IBM's first public access to true quantum computers through the cloud, as well as Google's demonstration of quantum supremacy, are among the accomplishments.
  arXiv  Detail & Related papers  (2022-11-11T19:18:44Z)
• 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)
• Many-body quantum thermal machines [0.0]
  Many-body quantum machines present new opportunities stemming from many-body effects. We mainly focus on many-body effects in quantum thermal machines. We briefly address the role played by many-body systems in the development of quantum batteries and quantum probes.
  arXiv  Detail & Related papers  (2021-02-16T17:36:25Z)
• Quantum machine learning and quantum biomimetics: A perspective [0.0]
  Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. In this Perspective, we give an overview of these topics, describing the related research carried out by the scientific community.
  arXiv  Detail & Related papers  (2020-04-25T07:45:20Z)

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.