Photonic Quantum Computers
- URL: http://arxiv.org/abs/2409.08229v1
- Date: Thu, 12 Sep 2024 17:16:38 GMT
- Title: Photonic Quantum Computers
- Authors: M. AbuGhanem,
- Abstract summary: Review captures a pivotal moment of photonic quantum computing in the noisy intermediate-scale quantum (NISQ) era.
Offers insights into how photonic quantum computers might reshape the future of quantum computing.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In the pursuit of scalable and fault-tolerant quantum computing architectures, photonic-based quantum computers have emerged as a leading frontier. This article provides a comprehensive overview of advancements in photonic quantum computing, developed by leading industry players, examining current performance, architectural designs, and strategies for developing large-scale, fault-tolerant photonic quantum computers. It also highlights recent groundbreaking experiments that leverage the unique advantages of photonic technologies, underscoring their transformative potential. This review captures a pivotal moment of photonic quantum computing in the noisy intermediate-scale quantum (NISQ) era, offering insights into how photonic quantum computers might reshape the future of quantum computing.
Related papers
- Information processing at the speed of light [0.0]
The introduction of quantum photonic chips has ushered in an era marked by scalability, stability, and cost-effectiveness.
This article provides a comprehensive exploration of photonic quantum computing, covering key aspects such as encoding information in photons.
The review further navigates the path towards establishing scalable and fault-tolerant photonic quantum computers.
arXiv Detail & Related papers (2024-10-01T06:43:44Z) - 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) - 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 dots for photonic quantum information technology [0.0]
We discuss in depth the great potential of quantum dots (QDs) in photonic quantum information technology.
QDs form a key resource for the implementation of quantum communication networks and photonic quantum computers.
We present the most promising concepts for quantum light sources and photonic quantum circuits that include single QDs as active elements.
arXiv Detail & Related papers (2023-09-08T09:34:49Z) - 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 Optical Memory for Entanglement Distribution [52.77024349608834]
Entanglement of quantum states over long distances can empower quantum computing, quantum communications, and quantum sensing.
Over the past two decades, quantum optical memories with high fidelity, high efficiencies, long storage times, and promising multiplexing capabilities have been developed.
arXiv Detail & Related papers (2023-04-19T03:18:51Z) - 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) - 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) - Single-photon quantum hardware: towards scalable photonic quantum
technology with a quantum advantage [0.41998444721319217]
We will present the current state-of-the-art in single-photon quantum hardware and the main photonic building blocks required in order to scale up.
We will point out specific promising applications of the hardware building blocks within quantum communication and photonic quantum computing.
arXiv Detail & Related papers (2021-03-01T16:22:59Z) - Experimental Quantum Generative Adversarial Networks for Image
Generation [93.06926114985761]
We experimentally achieve the learning and generation of real-world hand-written digit images on a superconducting quantum processor.
Our work provides guidance for developing advanced quantum generative models on near-term quantum devices.
arXiv Detail & Related papers (2020-10-13T06:57:17Z) - 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)
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.