Check here for upcoming events……
MAY 13 & 14, 2021
Conducted in conjunction with PQE 2022 @ Snowbird Utah
Snowbird Ski Resort
2ND INTERNATIONAL WORKSHOP ON QUANTUM NETWORK SCIENCE
NetSci 2020 Satellite Workshop
QIS Group Retreat
August 21 & 22, 2019
University of Arizona, James C. Wyant College of Optical Sciences
1ST INTERNATIONAL WORKSHOP ON QUANTUM NETWORK SCIENCE
May 13-14, 2019
University of Arizona, College of Optical Sciences
The United States National Research Council defines network science as “the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena.”
Network science is discipline that studies complex networks that may appear in telecommunication networks, computer networks, biological networks, cognitive and semantic networks, neural networks, statistical thermodynamics of interacting particles, co-authorship networks, and other forms of social networks. They consider elements or actors represented by nodes (or vertices, or site) and connections between the elements as links (or edges, or bonds). The field draws on theories and methods including graph theory (from mathematics), statistical mechanics (from physics), data mining and information visualization (from computer science), inferential modeling (from statistics), and social structure (from sociology).
Networks involving quantum mechanical elements or actors are called quantum networks. Quantum networks are even richer than their classical counterparts with regards to their various properties. This is due to the fact that quantum nodes can be in superposition states, and pairs (or groups) of nodes can be entangled.
The goal of this 2-day workshop is to explore a new discipline “Quantum Network Science”, in analogy to (classical) network science, which would aim at developing unifying mathematical principles behind large complex quantum-correlated many-body networks, to explore their structural and dynamic properties, characterization, evolution and manipulation of multi-site entanglement, and their applications in quantum communications, sensing, simulations and computation.
Large complex quantum networks emerge in condensed matter systems, in certain biological systems, in high energy physics, in cluster-model quantum computing, to perhaps an engineered quantum internet of the future.
We would like to bring together people with intersections of the following expertise:
(1) complex networks (emergent behavior in large networks, network measures such as centrality, dynamic networks, robustness, …)
(2) mathematical statistics (percolation theory, large deviations, critical exponents, …)
(3) quantum information theory (quantum Shannon theory, capacity of multi-user channels, quantum error correction, …)
(4) network theory (computer networks, routing and resource allocation, latency-throughput tradeoffs, network performance measures, …)
(5) quantum networks (quantum repeaters, multipath and multiflow routing of entanglement, quantum network coding, …)
(6) quantum computing (cluster states, distributed quantum computing)
The workshop will be sub-divided into the following topics. The detailed organization (talks, discussions, breakouts, etc.) will be announced and communicated to the attendees soon.
Topic 1 Properties of complex quantum networks
Topic 2: Entanglement in a large quantum network
Topic 3: Dynamical properties of many-body quantum systems
Topic 4: Cluster model quantum computing
Topic 5: Experimental realizations of quantum networks
March 26 & 27, 2019
The goal of the SIPQNP workshop is to bring together an interdisciplinary team of researchers with experience in experimental quantum optics (including bulk optics and detectors), integrated nano-photonics (including silicon, diamond and other platforms), and the theory of quantum information processing. The objective is to provide a highly interactive forum for cross-cutting discussions in order to assess the highest-impact research pursuits in scalable quantum-limited information processing in integrated photonics, both from the standpoint of the feasibility of fabrication of quantum technologies (such as non-classical light sources, linear and non-linear optical processes and modulators, and quantum-noise-limited detectors, etc.), as well as from the standpoint of where the highest-impact applications of on-chip scalable information processing might lie, which may include (but not be limited to) classical and quantum computation, non-standard receivers for optical quantum communication, sensing and imaging, and quantum simulation.