Integrated Photonics for Quantum Communications and
Exploring cutting-edge advances of integrated photonics, recent breakthroughs and challenges are highlighted, showing a roadmap for
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Exploring cutting-edge advances of integrated photonics, recent breakthroughs and challenges are highlighted, showing a roadmap for
We performed extensive simulations of the quantum transformers on standard medical image datasets that showed competitively, and at times better performance compared to the
Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resources both
Abstract: In this work, we design and analyse quantum transformers, extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language
This body of work outlines an attempt to study available literature on quantum vision transformers and begin to design a plan for the implementation of a simple quantum transformer neural network and
Recent years have witnessed significant progress in quantum communication and quantum internet with the emerging quantum photonic chips, whose characteristics of scalability,
An improved Quantum Vision Transformer (QViT) with a quantum-enhanced self-attention mechanism is introduced and discussed. A shallow circuit is pro-posed for each component of self-attention to
Quantum has been a buzzword lately, but without a PhD in quantum physics it is difficult to sort out the myth from reality. This paper is a primer geared towards the reader who wants to
Besides, quantum communication system model is also proposed here. This research included and explained the prospective applications of quantum technology over existing technological systems,
Abstract Quantum Transformers integrate the representational power of classical Transformers with the computational advantages of quantum computing, leveraging quantum features such as
Quantum Transformers integrate the representational power of classical Transformers with the computational advantages of quantum computing. Since 2022, research in this area has rapidly
We performed extensive simulations of the quantum transformers on standard medical image datasets that showed competitively, and at times better
Abstract Quantum Transformers combine quantum computing with the powerful Transformer model, offering new possibilities for machine learning by using quantum features like superposition and
Quantum communication over long distances can be achieved by exploiting a property of light called coherence. The coherence-based exchange of a ''quantum encryption key'' over an optical
In a new study, researchers have for the first time accomplished quantum teleportation between two remote nodes that share no direct connection whatsoever. This advance represents an
These quantum architectures can be built using shallow quantum circuits and produce qualitatively different classification models. The three proposed quantum attention layers vary on the spectrum
This Review discusses the latest developments in the quantum teleportation of complex quantum states and applications to quantum communication and computing.
We present a novel hybrid quantum-classical vision transformer architecture incorporating quantum orthogonal neural networks (QONNs) to enhance performance and
MoleculeFormer is a GCN-Transformer architecture that integrates atomic and bond-level graphs with 3D features and molecular fingerprints,
Programmable quantum circuitry will play a pivotal role in transitioning quantum optics from proof-of-concept demonstrations to robust technological solutions for the second quantum
In this work, we construct several variations of a quantum hybrid vision transformer for a classification problem in high-energy physics
This paper discusses the details and importance of quantum concepts, such as QC, quantum communication and quantum security as
2. Optical Quantum Memory Although a qubit can be realized in many different physical systems, such as atoms, ions, and superconducting circuits, the most prominent physical realization of a qubit in
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in