Year: 2021
Type: article
Abstract: Just as "classical" information technology rests on a foundation built of interconnected informationprocessing systems, quantum information technology (QIT) must do the same.A critical component of such systems is the "interconnect," a device or process that allows transfer of information between disparate physical media, for example, semiconductor electronics, individual atoms, light pulses in optical fiber, or microwave fields.While interconnects have been well engineered for decades in the realm of classical information technology, quantum interconnects (QuICs) present special challenges, as they must allow the transfer of fragile quantum states between different physical parts or degrees of freedom of the system.The diversity of QIT platforms (superconducting, atomic, solid-state color center, optical, etc.) that will form a "quantum internet" poses additional challenges.As quantum systems scale to larger size, the quantum interconnect bottleneck is imminent, and is emerging as a grand challenge for QIT.For these reasons, it is the position of the community represented by participants of the NSF workshop on "Quantum Interconnects" that accelerating QuIC research is crucial for sustained development of a national quantum science and technology program.Given the diversity of QIT platforms, materials used, applications, and infrastructure required, a convergent research program including partnership between academia, industry, and national laboratories is required.
Source: PRX Quantum
Authors: David Awschalom, Karl K. Berggren, Hannes Bernien, Sunil Bhave, Lincoln D. Carr, Paul Davids, Sophia E. Economou, Dirk Englund, Andrei Faraon, Martin Fejer, Saikat Guha, Martin V. Gustafsson, Evelyn Hu, Liang Jiang, Jungsang Kim, Boris Korzh, Prem Kumar, Paul G. Kwiat, Marko Lončar, Mikhail D. Lukin, David A.B. Miller, Christopher Monroe, Sae Woo Nam, Prineha Narang, Jason S. Orcutt, Michael G. Raymer, Amir H. Safavi-Naeini, Maria Spiropulu, Kartik Srinivasan, Shuo Sun, Jelena Vučković, Edo Waks, Ronald Walsworth, Andrew M. Weiner, Zheshen Zhang
Institutions: University of Chicago, Massachusetts Institute of Technology, Purdue University West Lafayette, Colorado School of Mines, Sandia National Laboratories, Virginia Tech, California Institute of Technology, Kavli Nanoscience Institute, Stanford University, Harvard University, Duke University, IonQ (United States), Jet Propulsion Laboratory, Northwestern University, University of Illinois Urbana-Champaign, IBM (United States), IBM Research - Thomas J. Watson Research Center, University of Oregon, National Institute of Standards and Technology, Joint Quantum Institute, University of Maryland, College Park, Joint Institute for Laboratory Astrophysics, University of Colorado Boulder, University of Arizona
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,450
OpenAlex ID: W2995897104