Development of Quantum Interconnects (Quics) for Next-Generation Information Technologies
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Underwater Quantum Sensing Deteccion´ Cuantica´ Subacuatica´ Marco Lanzagorta a ?
Journal de Ciencia e Ingenier´ıa, Vol. 6, No. 1, Agosto de 2014, pp. 1-10 Investigacion´ - Tecnolog´ıas Cuanticas´ Underwater quantum sensing Deteccion´ cuantica´ subacuatica´ Marco Lanzagorta a ? aUS Naval Research Laboratory, 4555 Overlook Ave. SW, Washington DC 20375 Recibido: 12/3/2014; revisado: 18/3/2014; aceptado: 10/7/2014 M. Lanzagorta: Underwater quantum sensing. Jou.Cie.Ing. 6 (1): 1-10, 2014. ISSN 2145-2628. Abstract In this paper we explore the possibility of underwater quantum sensing. More specifically, we analyze the performance of a quantum interferometer submerged in different types of oceanic water. Because of the strong optical attenuation produced by even the clearest ocean waters, the supersensitivity range of an underwater quantum sensor using N = 2 NOON entangled states is severely limited to about 18 meters, while the advantage provided by entanglement disappears at about 30 meters. As a consequence, long-range underwater quantum sensing is not feasible. Nevertheless, we discuss how underwater quantum sensing could be relevant for the detection of underwater vehicles. Keywords: Quantum information, quantum sensing, underwater sensing.. Resumen En este articulo exploramos la posibilidad de deteccion´ cuantica´ subacuatica.´ En particular, analizamos el comportamiento de un interferometro cuantico´ sumergido en diferentes tipos de aguas oceanicas.´ Debido a la fuerte atenuacion´ optica´ producida por aguas oceanicas,´ incluso las mas´ puras, el rango de super- sensitividad de un detector cuantico´ subacuatico´ usando estados NOON con N = 2 esta´ severamente limitado a una profundidad de 18 metros, mientras que la ventaja debida a los estados entrelazados desaparece a unos 30 metros. Como consecuencia, la deteccion´ cuantica´ subacuatica´ de largo alcance no es posible. -
Christopher Monroe Joint Quantum Institute University of Maryland and NIST
PEP Seminar Series Wednesday, September 10th, 2:30 PM, Babbio 210 Christopher Monroe Joint Quantum Institute University of Maryland and NIST Trapped atomic ions are among the most promising candidates for a future quantum information processor, with each ion storing a single quantum bit (qubit) of information. All of the fundamental quantum operations have been demonstrated on this system, and the central challenge now is how to scale the system to larger numbers of qubits. The conventional approach to forming entangled states of multiple trapped ion qubits is through the local Coulomb interaction accompanied by appropriate state-dependent optical forces. Recently, trapped ion qubits have been entangled through a photonic coupling, allowing qubit memories to be entangled over remote distances. This coupling may allow the generation of truly large-scale entangled quantum states, and also impact the development of quantum repeater circuits for the communication of quantum information over geographic distances. I will discuss several options and issues for such atomic quantum networks, along with state-of-the-art experimental progress. Chris Monroe obtained his PhD at the University of Colorado at Boulder in 1992 under Carl Weiman. He worked as a Postdoctoral Researcher at the National Institute of Standard and Technology at Boulder with David Wineland. He was a Professor at the University of Michigan at the Department of Physics (2003- 2007) and at the Department of Electrical Engineering and Computer Science (2006-2007). He was the Director of FOCUS Center (an NSF Physics Frontier Center) at Michigan (2006-2007). He is a fellow of APS, the Institute of Physics (UK), and also at Joint Quantum Institute at the University of Maryland. -
Christopher Monroe: Biosketch
Christopher Monroe: Biosketch Christopher Monroe was born and raised outside of Detroit, MI, and graduated from MIT in 1987. He received his PhD in Physics at the University of Colorado, Boulder, studying with Carl Wieman and Eric Cornell. His work paved the way toward the achievement of Bose-Einstein condensation in 1995 and the Nobel Prize in Physics for Wieman and Cornell in 2001. From 1992-2000 he was a postdoc then staff physicist at the National Institute of Standards and Technology (NIST) in the group of David Wineland, leading the team that demonstrated the first quantum logic gate in any physical system. Based on this work, Wineland was awarded the Nobel Prize in Physics in 2012. In 2000, Monroe became Professor of Physics and Electrical Engineering at the University of Michigan, where he pioneered the use of single photons as a quantum conduit between isolated atoms and demonstrated the first atom trap integrated on a semiconductor chip. From 2006-2007 was the Director of the National Science Foundation Ultrafast Optics Center at the University of Michigan. In 2007 he became the Bice Zorn Professor of Physics at the University of Maryland (UMD) and a Fellow of the Joint Quantum Institute between UMD, NIST, and NSA. He is also a Fellow of the Center for Quantum Information and Computer Science at UMD, NIST, and NSA. His Maryland team was the first to teleport quantum information between matter separated by a large distance; they pioneered the use of ultrafast optical techniques for controlling atomic qubits and for quantum simulations of magnetism; and most recently demonstrated the first programmable and reconfigurable quantum computer. -
Quantum Robot: Structure, Algorithms and Applications
Quantum Robot: Structure, Algorithms and Applications Dao-Yi Dong, Chun-Lin Chen, Chen-Bin Zhang, Zong-Hai Chen Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230027, P. R. China e-mail: [email protected] [email protected] SUMMARY: A kind of brand-new robot, quantum robot, is proposed through fusing quantum theory with robot technology. Quantum robot is essentially a complex quantum system and it is generally composed of three fundamental parts: MQCU (multi quantum computing units), quan- tum controller/actuator, and information acquisition units. Corresponding to the system structure, several learning control algorithms including quantum searching algorithm and quantum rein- forcement learning are presented for quantum robot. The theoretic results show that quantum ro- 2 bot can reduce the complexity of O( N ) in traditional robot to O( N N ) using quantum searching algorithm, and the simulation results demonstrate that quantum robot is also superior to traditional robot in efficient learning by novel quantum reinforcement learning algorithm. Considering the advantages of quantum robot, its some potential important applications are also analyzed and prospected. KEYWORDS: Quantum robot; Quantum reinforcement learning; MQCU; Grover algorithm 1 Introduction The naissance of robots and the establishment of robotics is one of the most important achievements in science and technology field in the 20th century [1-3]. With the advancement of technology [4-8], robots are serving the community in many aspects, such as industry production, military affairs, na- tional defence, medicinal treatment and sanitation, navigation and spaceflight, public security, and so on. Moreover, some new-type robots such as nanorobot, biorobot and medicinal robot also come to our world through fusing nanotechnology, biology and medicinal engineering into robot technology. -
Steven Olmschenk Cv 2019
STEVEN OLMSCHENK Denison University Email: [email protected] Department of Physics & Astronomy Office Phone: 740.587.8661 100 West College Street Website: denison.edu/iqo Granville, Ohio 43023 Education o University of Michigan, Ann Arbor, MI Ph.D. in Physics, Advisor: Professor Christopher Monroe (August 2009) Thesis: “Quantum Teleportation Between Distant Matter Qubits” M.S.E. in Electrical Engineering (August 2007) M.Sc. in Physics (December 2005) o University of Chicago, Chicago, IL B.A. in Physics with Specialization in Astrophysics, Advisor: Professor Mark Oreglia (June 2004) Thesis: “Searching for Bottom Squarks” B.S. in Mathematics (June 2004) Experience o Associate professor, Denison University August 2018 – Present {Assistant professor, August 2012 – August 2018} Courses taught include: General Physics II (Physics 122); Principles of Physics I: Quarks to Cosmos (Physics 125); Modern Physics (Physics 200); Electronics (Physics 211); and Introduction to Quantum Mechanics (Physics 330). Research focused on experimental atomic physics, quantum optics, and quantum information with trapped atomic ions. o Postdoctoral researcher: Ultracold atomic physics with optical lattices, Supervisors: Doctor James (Trey) V. Porto and Doctor William D. Phillips, National Institute of Standards and Technology July 2009 – July 2012 Ultracold atoms confined in an optical lattice to study strongly correlated many-body states and for applications in quantum information science. o Graduate research assistant: Trapped ion quantum computing, Advisor: Professor Christopher Monroe, University of Michigan/Maryland September 2004 – July 2009 Advancements in quantum information science accomplished through experimental study of individual atomic ions and photons. o Earlier research: High Energy Physics (B.A. thesis); Solar Physics (NSF REU); Radio Astronomy. -
Quantum Sensor
OWNER’S MANUAL QUANTUM SENSOR Model SQ-500 APOGEE INSTRUMENTS, INC. | 721 WEST 1800 NORTH, LOGAN, UTAH 84321, USA TEL: (435) 792-4700 | FAX: (435) 787-8268 | WEB: APOGEEINSTRUMENTS.COM Copyright © 2016 Apogee Instruments, Inc. 2 TABLE OF CONTENTS Owner’s Manual ................................................................................................................................................................................................................ 1 Certificate of Compliance .................................................................................................................................................................................... 3 Introduction ............................................................................................................................................................................................................. 4 Sensor Models ......................................................................................................................................................................................................... 5 Specifications ........................................................................................................................................................................................................... 6 Deployment and Installation .............................................................................................................................................................................. 9 Operation and -
Surprising New States of Matter Called Time Crystals Show the Same Symmetry Properties in Time That Ordinary Crystals Do in Space by Frank Wilczek
PHYSICS CRYSTAL S IN TIME Surprising new states of matter called time crystals show the same symmetry properties in time that ordinary crystals do in space By Frank Wilczek Illustration by Mark Ross Studio 28 Scientific American, November 2019 © 2019 Scientific American November 2019, ScientificAmerican.com 29 © 2019 Scientific American Frank Wilczek is a theoretical physicist at the Massachusetts Institute of Technology. He won the 2004 Nobel Prize in Physics for his work on the theory of the strong force, and in 2012 he proposed the concept of time crystals. CRYSTAL S are nature’s most orderly suBstances. InsIde them, atoms and molecules are arranged in regular, repeating structures, giving rise to solids that are stable and rigid—and often beautiful to behold. People have found crystals fascinating and attractive since before the dawn of modern science, often prizing them as jewels. In the 19th century scientists’ quest to classify forms of crystals and understand their effect on light catalyzed important progress in mathematics and physics. Then, in the 20th century, study of the fundamental quantum mechanics of elec- trons in crystals led directly to modern semiconductor electronics and eventually to smart- phones and the Internet. The next step in our understanding of crystals is oc- These examples show that the mathematical concept IN BRIEF curring now, thanks to a principle that arose from Al- of symmetry captures an essential aspect of its com- bert Einstein’s relativity theory: space and time are in- mon meaning while adding the virtue of precision. Crystals are orderly timately connected and ultimately on the same footing. -
The Quantum Times
TThhee QQuuaannttuumm TTiimmeess APS Topical Group on Quantum Information, Concepts, and Computation autumn 2007 Volume 2, Number 3 Science Without Borders: Quantum Information in Iran This year the first International Iran Conference on Quantum Information (IICQI) – see http://iicqi.sharif.ir/ – was held at Kish Island in Iran 7-10 September 2007. The conference was sponsored by Sharif University of Technology and its affiliate Kish University, which was the local host of the conference, the Institute for Studies in Theoretical Physics and Mathematics (IPM), Hi-Tech Industries Center, Center for International Collaboration, Kish Free Zone Organization (KFZO) and The Center of Excellence In Complex System and Condensed Matter (CSCM). The high level of support was instrumental in supporting numerous foreign participants (one-quarter of the 98 registrants) and also in keeping the costs down for Iranian participants, and having the conference held at Kish Island meant that people from around the world could come without visas. The low cost for Iranians was important in making the Inside… conference a success. In contrast to typical conferences in most …you’ll find statements from of the world, Iranian faculty members and students do not have the candidates running for various much if any grant funding for conferences and travel and posts within our topical group. I therefore paid all or most of their own costs from their own extend my thanks and appreciation personal money, which meant that a low-cost meeting was to the candidates, who were under essential to encourage a high level of participation. On the plus a time-crunch, and Charles Bennett side, the attendees were extraordinarily committed to learning, and the rest of the Nominating discussing, and presenting work far beyond what I am used to at Committee for arranging the slate typical conferences: many participants came to talks prepared of candidates and collecting their and knowledgeable about the speaker's work, and the poster statements for the newsletter. -
Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions
electronics Article Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions Fei Yan 1 , Abdullah M. Iliyasu 2,3,∗ and Kaoru Hirota 3,4 1 School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China; [email protected] 2 College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia 3 School of Computing, Tokyo Institute of Technology, Yokohama 226-8502, Japan; [email protected] 4 School of Automation, Beijing Institute of Technology, Beijing 100081, China * Correspondence: [email protected] Abstract: This study presents a modest attempt to interpret, formulate, and manipulate the emotion of robots within the precepts of quantum mechanics. Our proposed framework encodes emotion information as a superposition state, whilst unitary operators are used to manipulate the transition of emotion states which are subsequently recovered via appropriate quantum measurement operations. The framework described provides essential steps towards exploiting the potency of quantum mechanics in a quantum affective computing paradigm. Further, the emotions of multi-robots in a specified communication scenario are fused using quantum entanglement, thereby reducing the number of qubits required to capture the emotion states of all the robots in the environment, and therefore fewer quantum gates are needed to transform the emotion of all or part of the robots from one state to another. In addition to the mathematical rigours expected of the proposed framework, we present a few simulation-based demonstrations to illustrate its feasibility and effectiveness. This exposition is an important step in the transition of formulations of emotional intelligence to the quantum era. -
High Energy Physics Quantum Information Science Awards Abstracts
High Energy Physics Quantum Information Science Awards Abstracts Towards Directional Detection of WIMP Dark Matter using Spectroscopy of Quantum Defects in Diamond Ronald Walsworth, David Phillips, and Alexander Sushkov Challenges and Opportunities in Noise‐Aware Implementations of Quantum Field Theories on Near‐Term Quantum Computing Hardware Raphael Pooser, Patrick Dreher, and Lex Kemper Quantum Sensors for Wide Band Axion Dark Matter Detection Peter S Barry, Andrew Sonnenschein, Clarence Chang, Jiansong Gao, Steve Kuhlmann, Noah Kurinsky, and Joel Ullom The Dark Matter Radio‐: A Quantum‐Enhanced Dark Matter Search Kent Irwin and Peter Graham Quantum Sensors for Light-field Dark Matter Searches Kent Irwin, Peter Graham, Alexander Sushkov, Dmitry Budke, and Derek Kimball The Geometry and Flow of Quantum Information: From Quantum Gravity to Quantum Technology Raphael Bousso1, Ehud Altman1, Ning Bao1, Patrick Hayden, Christopher Monroe, Yasunori Nomura1, Xiao‐Liang Qi, Monika Schleier‐Smith, Brian Swingle3, Norman Yao1, and Michael Zaletel Algebraic Approach Towards Quantum Information in Quantum Field Theory and Holography Daniel Harlow, Aram Harrow and Hong Liu Interplay of Quantum Information, Thermodynamics, and Gravity in the Early Universe Nishant Agarwal, Adolfo del Campo, Archana Kamal, and Sarah Shandera Quantum Computing for Neutrino‐nucleus Dynamics Joseph Carlson, Rajan Gupta, Andy C.N. Li, Gabriel Perdue, and Alessandro Roggero Quantum‐Enhanced Metrology with Trapped Ions for Fundamental Physics Salman Habib, Kaifeng Cui1, -
Keynote,Quantum Information Science
Quantum Information Science What is it? What is it good for? How can we make progress faster? Celia Merzbacher, PhD QED-C Associate Director Managed by SRI International Background 0 What differentiates quantum? • Quantized states • Uncertainty 1 • Superposition • Entanglement Classical “bit” Quantum “bit” Managed by SRI International Examples of qubits quantum effects require kBT << E01 ⇒ go cryogenic or use laser cooling Credit: Daniel Slichter, NIST Managed by SRI International CandidatesMajor quantum for computingpractical qubits platforms U. Innsbruck trapped ions CNRS/Palaiseau neutral atoms IBM UNSW superconducting qubits UCSB U. Bristol Si qubits NV centers photonics Managed by SRI International Credit: Daniel Slichter, NIST DiVincenzo's criteria for a quantum computer A scalable physical system with well characterized qubit Ability to initialize the state of the qubits to a simple fiducial state Long relevant decoherence times A "universal" set of quantum gates A qubit-specific measurement capability Managed by SRI International What about software? • Basic steps of running a quantum computer: • Qubits are prepared in a particular state • Qubits undergo a sequence of quantum logic gates • A quantum measurement extracts the output • Current quantum computers are “noisy” and error prone • Need error correction • Hybrid quantum/classical computation will be essential • Companies are developing software that is technology agnostic and can take advantage of NISQ* systems that will be available relatively soon *Noisy Intermediate -
Quantum Computing
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 11032–11033, September 1998 From the Academy This paper is a summary of a session presented at the Ninth Annual Frontiers of Science Symposium, held November 7–9, 1997, at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA. Quantum computing GILLES BRASSARD*†,ISAAC CHUANG‡,SETH LLOYD§, AND CHRISTOPHER MONROE¶ *De´partement d’informatique et de recherche ope´rationnelle, Universite´ de Montre´al, C.P. 6128, succursale centre-ville, Montre´al, QC H3C 3J7 Canada; ‡IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120; §Massachusetts Institute of Technology, Department of Mechanical Engineering, MIT 3-160, Cambridge, MA 02139; and ¶National Institute of Standards and Technology, Time and Frequency Division, 325 Broadway, Boulder, CO 80303 Quantum computation is the extension of classical computa- Quantum parallelism arises because a quantum operation tion to the processing of quantum information, using quantum acting on a superposition of inputs produces a superposition of systems such as individual atoms, molecules, or photons. It has outputs. For example, consider some function f and a quantum the potential to bring about a spectacular revolution in com- logic circuit U that computes it by mapping quantum register puter science. Current-day electronic computers are not fun- ux,0& to output ux, f(x)&. Let x and y be two distinct inputs, and damentally different from purely mechanical computers: the prepare the superposition (ux,0&1uy,0&)y=2. Applying U operation of either can be described completely in terms of produces (ux, f(x)&1uy, f(y)&)y=2: the value of function f is classical physics.