Related papers: Macroscopic quantum phenomena and quantum computing

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Coherent Control of Population and Quantum Coherence in Superconducting Circuits [0.0]
Recent breakthroughs have pushed the boundaries of quantum behavior into the macroscopic world.<n>This review article traces the extraordinary progress toward achieving coherent control of population distributions among multiple quantum levels.
arXiv Detail & Related papers (2026-02-27T12:35:56Z)
Quantum Thermodynamics and Quantum Perspectives [0.0]
We introduce the key notions of work and heat for quantum systems, to then apply them to quantum engines operating on quantum Otto and Carnot cycles.<n>The irreversible and dissipative character of the quantum Otto cycle is briefly analyzed, contrasting with the energetic optimality of the quantum Carnot cycle.<n>The central question of quantum effects is also addressed and illustrated with several examples.
arXiv Detail & Related papers (2025-12-30T15:36:24Z)
Dynamical Casimir effect in superconducting cavities: from photon generation to universal quantum gates [49.1574468325115]
Chapter explores various aspects of the Dynamical Casimir Effect (DCE) and its implications in the context of circuit quantum electrodynamics (cQED)
arXiv Detail & Related papers (2025-04-15T16:28:00Z)
Quantum Information meets High-Energy Physics: Input to the update of the European Strategy for Particle Physics [43.15404275280645]
Some of the most astonishing and prominent properties of Quantum Mechanics, such as entanglement and Bell nonlocality, have only been studied extensively in dedicated low-energy laboratory setups.<n>The feasibility of these studies in the high-energy regime explored by particle colliders was only recently shown and has gathered the attention of the scientific community.
arXiv Detail & Related papers (2025-03-31T18:00:01Z)
The Physics of Quantum 2.0: Challenges in understanding Quantum Matter [0.0]
It is imperative for us to face the challenges in understanding the phenomenology of various emergent forms of quantum matter.<n>We outline and discuss several outstanding challenges, including the need to explore and identify the organisational principles that can guide the development of theories.<n>These efforts will enable the prediction of new quantum materials whose properties facilitate the creation of next generation technologies.
arXiv Detail & Related papers (2024-12-31T13:57:05Z)
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.<n>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)
NISQ Computers: A Path to Quantum Supremacy [0.0]
NISQ (Noisy Intermediate-Scale Quantum) computing has witnessed remarkable advancements. This transformative turning point, known as quantum supremacy, has been achieved amid a series of breakthroughs. We critically examine the quantum supremacy experiments conducted thus far, shedding light on their implications and contributions to the evolving landscape of quantum computing.
arXiv Detail & Related papers (2023-09-29T09:35:15Z)
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 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)
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 information [0.0]
This article reviews the extraordinary features of quantum information predicted by the quantum formalism. The development of modern quantum technologies have opened new horizons in quantum physics that can potentially affect various areas of our live.
arXiv Detail & Related papers (2021-03-13T13:03:48Z)
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)
Superconducting Quantum Computing: A Review [0.0]
We provide a brief review on the experimental efforts towards building a large-scale superconducting quantum computer. We discuss qubit design, quantum control, readout techniques, and the implementations of error correction and quantum algorithms.
arXiv Detail & Related papers (2020-06-18T11:22:50Z)
An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem. The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)

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