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 …
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 …
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 …
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 …
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 …
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 …
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 …
[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 …
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 …
Ultra-low loss quantum photonic circuits integrated with single quantum emitters
The scaling of many photonic quantum information processing systems is ultimately limited
by the flux of quantum light throughout an integrated photonic circuit. Source brightness and …
by the flux of quantum light throughout an integrated photonic circuit. Source brightness and …