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Roadmap on Integrated Quantum Photonics
Citation key 2021_01_Moody
Author Galan Moody and Volker J. Sorger and Paul W. Juodawlkis and William Loh and Cheryl Sorace-Agaskar and Marcelo Davanco and Lin Chang and John E. Bowers and Niels Quack and Christophe Galland and Igor Aharonovich and M. A. Wolff and C. Schuck and Neil Sinclair and Marko Lončar and Tin Komljenovic and David Weld and Shayan Mookherjea and Sonia Buckley and Marina Radulaski and Stephan Reitzenstein and Benjamin Pingault and Bartholomeus Machielse and Debsuvra Mukhopadhyay and Alexey Akimov and Aleksei Zheltikov and Girish S. Agarwal and Kartik Srinivasan and Juanjuan Lu and Hong X. Tang and Wentao Jiang and Timothy P. McKenna and Amir H. Safavi-Naeini and Stephan Steinhauer and Ali W. Elshaari and Val Zwiller and Paul S. Davids and Nicholas Martinez and Michael Gehl and John Chiaverini and Karan K. Mehta and Jacquiline Romero and Navin B. Lingaraju and Andrew M. Weiner and Daniel Peace and Robert Cernansky and Mirko Lobino and Eleni Diamanti and Luis Trigo Vidarte and Ryan M. Camacho
Year 2021
Journal arXiv e-prints
Month Feb
Abstract In the 1960s, computer engineers had to address the tyranny of numbers problem in which improvements in computing and its applications required integrating an increasing number of electronic components. From the first computers powered by vacuum tubes to the billions of transistors fabricated on a single microprocessor chip today, transformational advances in integration have led to remarkable processing performance and new unforeseen applications in computing. Today, quantum scientists and engineers are facing similar integration challenges. Research labs packed with benchtop components, such as tunable lasers, tables filled with optics, and racks of control hardware, are needed to prepare, manipulate, and read out quantum states from a modest number of qubits. Analogous to electronic circuit design and fabrication nearly five decades ago, scaling quantum systems (i.e. to thousands or millions of components and quantum elements) with the required functionality, high performance, and stability will only be realized through novel design architectures and fabrication techniques that enable the chip-scale integration of electronic and quantum photonic integrated circuits (QPIC). In the next decade, with sustained research, development, and investment in the quantum photonic ecosystem (i.e. PIC-based platforms, devices and circuits, fabrication and integration processes, packaging, and testing and benchmarking), we will witness the transition from single- and few-function prototypes to the large-scale integration of multi-functional and reconfigurable QPICs that will define how information is processed, stored, transmitted, and utilized for quantum computing, communications, metrology, and sensing. This roadmap highlights the current progress in the field of integrated quantum photonics, future challenges, and advances in science and technology needed to meet these challenges.
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