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On-chip photonic processors for neural networks have potential benefits in both speed and energy efficiency but have not yet reached the scale at which they can outperform electronic processors. The dominant paradigm for designing on-chip…

Integrated quantum photonics, i.e. the generation, manipulation and detection of quantum states of light in integrated photonic chips, is revolutionizing the field of quantum information in all applications, from communications to…

Quantum Physics · Physics 2021-10-13 Giacomo Corrielli , Andrea Crespi , Roberto Osellame

Given the high throughput requirement for 5G, merging millimeter wave technologies and multi-user MIMO seems a very promising strategy. As hardware limitations impede to realize a full digital architecture, hybrid MIMO architectures, using…

Information Theory · Computer Science 2018-04-10 Steve Blandino , Claude Desset , Cheng-Ming Chen , Andre Bourdoux , Sofie Pollin

Photonic in-memory computing is a high-speed, low-energy alternative to traditional transistor-based digital computing that utilizes high photonic operating frequencies and bandwidths. In this work, we develop a comprehensive system-level…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-03 Jebacyril Arockiaraj , Sasindu Wijeratne , Sugeet Sunder , Md Abdullah-Al Kaiser , Akhilesh Jaiswal , Ajey P. Jacob , Viktor Prasanna

Tensor operations dominate modern computational workloads, yet their further acceleration demands hardware platforms with greater parallelism. Although photonic computing provides a compelling route for parallel processing, fully exploiting…

Millimeter-wave (mmWave) technology continues to draw large interest due to its broad applications in wireless communications, radar, and spectroscopy. Compared to pure electronic solutions, photonic-based mmWave generation provides wide…

Programmable optical devices provide performance enhancement and flexibility to spatial multiplexing systems enabling transmission of tributaries in high-order eigenmodes of spatially-diverse transmission media, like multimode fiber (MMF).…

Neural networks are one of the disruptive computing concepts of our time. However, they fundamentally differ from classical, algorithmic computing in a number of fundamental aspects. These differences result in equally fundamental, severe…

Neural and Evolutionary Computing · Computer Science 2020-12-22 Xavier Porte , Anas Skalli , Nasibeh Haghighi , Stephan Reitzenstein , James A. Lott , Daniel Brunner

A variety of complicated computational scenarios have made unprecedented demands on the computing power and energy efficiency of electronic computing systems, including solving intractable nondeterministic polynomial-time (NP)-complete…

Integrated photonics offers great potential for quantum communication devices in terms of complexity, robustness and scalability. Silicon photonics in particular is a leading platform for quantum photonic technologies, with further benefits…

Quantum microwave photonics (QMWP) is an innovative approach that combines energy-time entangled biphoton sources as the optical carrier with time-correlated single-photon detection for high-speed RF signal recovery. This groundbreaking…

Hybrid analog-digital signal processing (HSP) is an enabling technology to harvest the potential of millimeter-wave (mmWave) massive-MIMO communications. In this paper, we present a general deep learning (DL) framework for efficient design…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Alireza Morsali , Afshin Haghighat , Benoit Champagne

Over the past few years, silicon photonics-based computing has emerged as a promising alternative to CMOS-based computing for Deep Neural Networks (DNN). Unfortunately, the non-linear operations and the high-precision requirements of DNNs…

Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on…

Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can, however, be compromised by interference. Conventional…

Signal Processing · Electrical Eng. & Systems 2024-02-21 Joshua C. Lederman , Weipeng Zhang , Thomas Ferreira de Lima , Eric C. Blow , Simon Bilodeau , Bhavin J. Shastri , Paul R. Prucnal

Quantum states of light play a pivotal role in modern science[1] and future photonic applications[2]. While impressive progress has been made in their generation and manipulation with high fidelities, the common table-top approach is…

There have been some significant advances in optical-fiber multimode communications. And important effort in on-chip communication has also been recently reported for realizing mode-division multiplexing (MDM). Because of the difficulty in…

Applied Physics · Physics 2017-12-06 Wanyuan Liu

High-speed optical receivers are crucial in modern optical communication systems. While complex photonic integrated circuits (PICs) are widely employed to harness the full degrees of freedom (DOFs) of light for efficient data transmission,…

A photonic integrated circuit for mode multiplexing and demultiplexing in a few-mode fiber is presented and demonstrated. Two 10 Gbit/s channels at the same wavelength and polarization are simultaneously transmitted over modes LP01 and…

Optics · Physics 2016-06-29 Daniele Melati , Andrea Alippi , Andrea Melloni

Nowadays, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems is a favorable candidate for the fifth generation (5G) cellular systems. However, a key challenge is the high power consumption imposed by its numerous…

Information Theory · Computer Science 2018-03-21 Jiayi Zhang , Lnglong Dai , Xu Li , Ying Liu , Lajos Hanzo