Programmable photonic circuits
The growing maturity of integrated photonic technology makes it possible to build
increasingly large and complex photonic circuits on the surface of a chip. Today, most of …
increasingly large and complex photonic circuits on the surface of a chip. Today, most of …
The potential and global outlook of integrated photonics for quantum technologies
Integrated quantum photonics uses classical integrated photonic technologies and devices
for quantum applications. As in classical photonics, chip-scale integration has become …
for quantum applications. As in classical photonics, chip-scale integration has become …
An optical neural chip for implementing complex-valued neural network
Complex-valued neural networks have many advantages over their real-valued
counterparts. Conventional digital electronic computing platforms are incapable of executing …
counterparts. Conventional digital electronic computing platforms are incapable of executing …
Machine learning and the physical sciences
Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …
for a vast array of data processing tasks, which has entered most scientific disciplines in …
Pennylane: Automatic differentiation of hybrid quantum-classical computations
PennyLane is a Python 3 software framework for differentiable programming of quantum
computers. The library provides a unified architecture for near-term quantum computing …
computers. The library provides a unified architecture for near-term quantum computing …
Training deep quantum neural networks
Neural networks enjoy widespread success in both research and industry and, with the
advent of quantum technology, it is a crucial challenge to design quantum neural networks …
advent of quantum technology, it is a crucial challenge to design quantum neural networks …
Quantum-dot-based deterministic photon–emitter interfaces for scalable photonic quantum technology
The scale-up of quantum hardware is fundamental to realize the full potential of quantum
technology. Among a plethora of hardware platforms, photonics stands out: it provides a …
technology. Among a plethora of hardware platforms, photonics stands out: it provides a …
[HTML][HTML] Photonic quantum metrology
Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …
aim of this research field is the estimation of unknown parameters exploiting quantum …
Quantum machine learning: from physics to software engineering
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …
technology and artificial intelligence. This review provides a two-fold overview of several key …
Recent advances in machine learning for fiber optic sensor applications
Over the last three decades, fiber optic sensors (FOS) have gained a lot of attention for their
wide range of monitoring applications across many industries, including aerospace …
wide range of monitoring applications across many industries, including aerospace …