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JLICH and WRZBURG, Germany, June 1, 2021 Forschungszentrum Jlich and the University of Wrzburg will together investigate the quantum phenomena of topological materials and the opportunities they present within quantum computing. The Free State of Bavaria is funding the project to the tune of 13 million.

Numerous research groups worldwide are working on the development of quantum computers. Such computers will offer numerous advantages when they are ready for application. They require very little energy and provide extremely fast computing power as well as a high level of data security.

However, a number of technical challenges still need to be overcome. To achieve further progress in this regard, Forschungszentrum Jlich and the University of Wrzburg (JMU) are strengthening their long-standing cooperation in this field.

The project partners are turning to topological insulators as a material class. Together, they aim to research and develop topological material systems that would serve as suitable components for quantum computers.

Jlich and JMU: A strong partnership

Wolfgang Marquardt, Chairman of the Board of Directors of Forschungszentrum Jlich, and then JMU President Alfred Forchel signed a cooperation agreement to that effect in March 2021.

The cooperation with Jlich provides JMU with a great opportunity, Forchel explains. We already have outstanding resources in Wrzburg in the fields of solid-state physics, semiconductor physics, and topological materials. In Forschungszentrum Jlich, we have a strong partner whose expertise complements our own very nicely. Together, we can lead the way in topological quantum computing.

Wolfgang Marquardt, Chairman of the Board of Directors of Forschungszentrum Jlich, adds: The development of highly complex technologies such as those required for quantum computing can only be successfully achieved through sharing expertise and through the cooperation of strong partners. This cooperation is an important foundation to bring together the complementary expertise of JMU and Forschungszentrum Jlich as part of a joint effort to explore the possibilities of topological materials for robust quantum computers and thus to create a hub for new, solid-state quantum innovations.

Funding from Bavaria

The Bavarian Ministry of Economic Affairs, Regional Development and Energy is providing roughly 13 million in funding to the project to investigate quantum computing on the basis of topological materials through experimental and theoretical approaches. Bavarias minister president Markus Sder had announced this investment at the end of 2019 as part of the states Hightech Agenda Bayern initiative.

Four research groups involved

Funding is to be provided to four research groups. This funding will be used to establish four young investigators groups at both research locations.

From JMU, the teams of professors Laurens Molenkamp (experimental physics) and Bjrn Trauzettel (theoretical physics) are taking part in the cooperation. Both teams aim to host young researchers from Jlich who will set up their own young investigators groups in Wrzburg. The idea behind this is as follows: The young people will act as a kind of human bridge bringing expertise from Jlich to Wrzburg and vice versa, explains Trauzettel.

At Jlich, the subsinstitutes of the Peter Grnberg Institute (PGI) specializing in the fields of solid-state physics and theoretical physics are participating, led by professors Detlev Grtzmacher (PGI-9), Stefan Tautz (PGI-3), Stefan Blgel (PGI-1), and David DiVincenzo (PGI-2). Through the continuation of the Virtual Institute for Topological Insulators, which is funded by the Helmholtz Association, synergies in research into topological insulators will now be used in closer scientific collaboration to establish a pathway towards quantum computing, says Grtzmacher to explain the high hopes being placed in this project.

Long-standing cooperation in an excellent environment

Various collaborations in the fields of physics and information technology materials have been in place between Forschungszentrum Jlich and JMU for over ten years now. In 2012, the Virtual Institute for Topological Insulators (VITI) was jointly founded by the two partners. In light of the promising developments in topological quantum computing, both parties have decided to strengthen this cooperation in the form of joint working groups.

The research collaboration operates in an outstanding environment with two clusters of excellence related to the field: Complexity and Topology in Quantum Matter (CT.QMAT) (Wrzburg-Dresden) and Matter and Light for Quantum Computing (ML4Q) (CologneAachenBonnJlich).

A Helmholtz Quantum Center is also being built at Jlich. At JMU, a new building is under construction for the Institute for Topological Insulators (ITI). The first research teams are scheduled to move into the new building as of mid-2021.

Source: Forschungszentrum Jlich

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Jlich, University of Wrzburg Investigating Innovations for Quantum Computing with Topological Insulators - HPCwire

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The institutions which have been selected, the respective faculty and students will be able to access IBM quantum systems, quantum learning resources and, quantum tools over IBM Cloud for education and research purposes. This will allow these institutions to work on actual quantum computers and program these using the Qiskit open-source framework.

The selected institutions are Indian Institute of Science Education & Research (IISER) Pune, IISER Thiruvananthapuram, Indian Institute of Science (IISc) Bangalore, Indian Institute of Technology (IIT) Jodhpur, IIT- Kanpur, IIT Kharagpur, IIT Madras, Indian Statistical Institute (ISI) Kolkata, Indraprastha Institute of Information Technology (IIIT) Delhi, Tata Institute of Fundamental Research (TIFR) Mumbai and the University of Calcutta.

The collaboration with Indias top institutions is a part IBM Quantum Educators program that helps faculty in the quantum field connect with others. The program offers multiple benefits like additional access to systems beyond IBMs open systems, pulse access on the additional systems, priority considerations when in queue and private collaboration channels with other educators in the program, read an IBM notice.

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IBM has partnered with IITs, others to advance training, research in quantum computing - Elets

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Several leading institutions in the country, including various IITs, IISc, will be given over-the-cloud access to IBM's quantum systems. IBM is giving access to its systems as part of the IBM Quantum Educators Program that aims to facilitate research and accelerate advanced training in the field of quantum computing.

These institutions include the Indian Institute of Science Education & Research (IISER) Pune, IISER Thiruvananthapuram, Indian Institute of Science (IISc) Bangalore, Indian Institute of Technology (IIT) Jodhpur, IIT Kanpur, IIT Kharagpur, IIT Madras, Indian Statistical Institute (ISI) Kolkata, Indraprastha Institute of Information Technology (IIIT) Delhi, Tata Institute of Fundamental Research (TIFR) Mumbai and the University of Calcutta. Students and faculty of these institutes will be able to access IBM's quantum systems, quantum learning resources and quantum tools over IBM Cloud for education and research purposes.

While IISER Thiruvananthapuram, ISI Kolkata, and IIT Madras will host Quantum Computing Lab courses for their advanced undergraduate and postgraduate students, the University of Calcutta has been awarded an IBM Quantum Researchers Program Access Award for a project led by researcher Mrityunjay Ghosh under the guidance and supervision of Dr Amlan Chakrabarti, Professor and Director of AK Choudhury School of IT, University of Calcutta. This marks the first time that IBM has awarded a student or faculty of an Indian university with the Quantum Researchers Program Access Award.

The program will offer multiple benefits to these institutes like additional access to systems beyond IBMs open systems, pulse access on the additional systems, priority considerations when in a queue and private collaboration channels with other educators in the program.

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Several IITs, IISc among institutes to be granted access to IBM systems for quantum education research - EdexLive

DUBLIN, May 18, 2021 /PRNewswire/ -- The "Quantum Technology Market by Computing, Communications, Imaging, Security, Sensing, Modeling and Simulation 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

This report provides a comprehensive analysis of the quantum technology market. It assesses companies/organizations focused on quantum technology including R&D efforts and potential gaming-changing quantum tech-enabled solutions. The report evaluates the impact of quantum technology upon other major technologies and solution areas including AI, Edge Computing, Blockchain, IoT, and Big Data Analytics. The report provides an analysis of quantum technology investment, R&D, and prototyping by region and within each major country globally.

The report also provides global and regional forecasts as well as the outlook for quantum technology's impact on embedded hardware, software, applications, and services from 2021 to 2026. The report provides conclusions and recommendations for a wide range of industries and commercial beneficiaries including semiconductor companies, communications providers, high-speed computing companies, artificial intelligence vendors, and more.

Select Report Findings:

Much more than only computing, the quantum technology market provides a foundation for improving all digital communications, applications, content, and commerce. In the realm of communications, quantum technology will influence everything from encryption to the way that signals are passed from point A to point B. While currently in the R&D phase, networked quantum information and communications technology (ICT) is anticipated to become a commercial reality that will represent nothing less than a revolution for virtually every aspect of ICT.

However, there will be a need to integrate the ICT supply chain with quantum technologies in a manner that does not attempt to replace every aspect of classical computing but instead leverages a hybrid computational framework. Traditional High-Performance Computing (HPC) will continue to be used for many existing problems for the foreseeable future, while quantum technologies will be used for encrypting communications, signaling, and will be the underlying basis in the future for all commerce transactions. This does not mean that quantum encryption will replace Blockchain, but rather provide improved encryption for blockchain technology.

The quantum technology market will be a substantial enabler of dramatically improved sensing and instrumentation. For example, gravity sensors may be made significantly more precise through quantum sensing. Quantum electromagnetic sensing provides the ability to detect minute differences in the electromagnetic field. This will provide a wide-ranging number of applications, such as within the healthcare arena wherein quantum electromagnetic sensing will provide the ability to provide significantly improved mapping of vital organs. Quantum sensing will also have applications across a wide range of other industries such as transportation wherein there is the potential for substantially improved safety, especially for self-driving vehicles.

Commercial applications for the quantum imaging market are potentially wide-ranging including exploration, monitoring, and safety. For example, gas image processing may detect minute changes that could lead to early detection of tank failure or the presence of toxic chemicals. In concert with quantum sensing, quantum imaging may also help with various public safety-related applications such as search and rescue. Some problems are too difficult to calculate but can be simulated and modeled. Quantum simulations and modeling is an area that involves the use of quantum technology to enable simulators that can model complex systems that are beyond the capabilities of classical HPC. Even the fastest supercomputers today cannot adequately model many problems such as those found in atomic physics, condensed-matter physics, and high-energy physics.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Quantum Technology and Application Analysis3.1 Quantum Computing3.2 Quantum Cryptography Communication3.3 Quantum Sensing and Imaging3.4 Quantum Dots Particles3.5 Quantum Cascade Laser3.6 Quantum Magnetometer3.7 Quantum Key Distribution3.8 Quantum Cloud vs. Hybrid Platform3.9 Quantum 5G Communication3.10 Quantum 6G Impact3.11 Quantum Artificial Intelligence3.12 Quantum AI Technology3.13 Quantum IoT Technology3.14 Quantum Edge Network3.15 Quantum Blockchain

4.0 Company Analysis4.1 1QB Information Technologies Inc.4.2 ABB (Keymile)4.3 Adtech Optics Inc.4.4 Airbus Group4.5 Akela Laser Corporation4.6 Alibaba Group Holding Limited4.7 Alpes Lasers SA4.8 Altairnano4.9 Amgen Inc.4.10 Anhui Qasky Science and Technology Limited Liability Company (Qasky)4.11 Anyon Systems Inc.4.12 AOSense Inc.4.13 Apple Inc. (InVisage Technologies)4.14 Biogen Inc.4.15 Block Engineering4.16 Booz Allen Hamilton Inc.4.17 BT Group4.18 Cambridge Quantum Computing Ltd.4.19 Chinese Academy of Sciences4.20 D-Wave Systems Inc.4.21 Emerson Electric Corporation4.22 Fujitsu Ltd.4.23 Gem Systems4.24 GeoMetrics Inc.4.25 Google Inc.4.26 GWR Instruments Inc.4.27 Hamamatsu Photonics K.K.4.28 Hewlett Packard Enterprise4.29 Honeywell International Inc.4.30 HP Development Company L.P.4.31 IBM Corporation4.32 ID Quantique4.33 Infineon Technologies4.34 Intel Corporation4.35 KETS Quantum Security4.36 KPN4.37 LG Display Co. Ltd.4.38 Lockheed Martin Corporation4.39 MagiQ Technologies Inc.4.40 Marine Magnetics4.41 McAfee LLC4.42 MicroSemi Corporation4.43 Microsoft Corporation4.44 Mirsense4.45 Mitsubishi Electric Corp.4.46 M-Squared Lasers Limited4.47 Muquans4.48 Nanoco Group PLC4.49 Nanoplus Nanosystems and Technologies GmbH4.50 Nanosys Inc.4.51 NEC Corporation4.52 Nippon Telegraph and Telephone Corporation4.53 NN-Labs LLC.4.54 Nokia Corporation4.55 Nucrypt4.56 Ocean NanoTech LLC4.57 Oki Electric4.58 Oscilloquartz SA4.59 OSRAM4.60 PQ Solutions Limited (Post-Quantum)4.61 Pranalytica Inc.4.62 QC Ware Corp.4.63 QD Laser Co. Inc.4.64 QinetiQ4.65 Quantum Circuits Inc.4.66 Quantum Materials Corp.4.67 Qubitekk4.68 Quintessence Labs4.69 QuSpin4.70 QxBranch LLC4.71 Raytheon Company4.72 Rigetti Computing4.73 Robert Bosch GmbH4.74 Samsung Electronics Co. Ltd. (QD Vision Inc.)4.75 SeQureNet (Telecom ParisTech)4.76 SK Telecom4.77 ST Microelectronics4.78 Texas Instruments4.79 Thorlabs Inc4.80 Toshiba Corporation4.81 Tristan Technologies4.82 Twinleaf4.83 Universal Quantum Devices4.84 Volkswagen AG4.85 Wavelength Electronics Inc.4.86 ZTE Corporation

5.0 Quantum Technology Market Analysis and Forecasts 2021 - 20265.1 Global Quantum Technology Market 2021 - 20265.2 Global Quantum Technology Market by Technology 2021 - 20265.3 Quantum Computing Market 2021 - 20265.4 Quantum Cryptography Communication Market 2021 - 20265.5 Quantum Sensing and Imaging Market 2021 - 20265.6 Quantum Dots Market 2021 - 20265.7 Quantum Cascade Laser Market 2021 - 20265.8 Quantum Magnetometer Market 2021 - 20265.9 Quantum Key Distribution Market 2021 - 20265.9.1 Global Quantum Key Distribution Market by Technology5.9.1.1 Global Quantum Key Distribution Market by Infrastructure Type5.9.2 Global Quantum Key Distribution Market by Industry Vertical5.9.2.1 Global Quantum Key Distribution (QKD) Market by Government5.9.2.2 Global Quantum Key Distribution Market by Enterprise/Civilian Industry5.10 Global Quantum Technology Market by Deployment5.11 Global Quantum Technology Market by Sector5.12 Global Quantum Technology Market by Connectivity5.13 Global Quantum Technology Market by Revenue Source5.14 Quantum Intelligence Market 2021 - 20265.15 Quantum IoT Technology Market 2021 - 20265.16 Global Quantum Edge Network Market5.17 Global Quantum Blockchain Market5.18 Global Quantum Exascale Computing Market5.19 Regional Quantum Technology Market 2021 - 20265.19.1 Regional Comparison of Global Quantum Technology Market5.19.2 Global Quantum Technology Market by Region5.19.2.1 North America Quantum Technology Market by Country5.19.2.2 Europe Quantum Technology Market by Country5.19.2.3 Asia Pacific Quantum Technology Market by Country5.19.2.4 Middle East and Africa Quantum Technology Market by Country5.19.2.5 Latin America Quantum Technology Market by Country

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/6syb13

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Excerpt from:
The Worldwide Quantum Technology Industry will Reach $31.57 Billion by 2026 - North America to be the Biggest Region - PRNewswire

May 17, 2021• Physics 14, 74

A method that enables long-range interactions between fermions on a lattice allows atomic quantum simulations of exotic quantum many-body phenomena.

Currently, one of the best ways to model complex quantum systems is through atomic quantum simulations. Controlling interactions between atoms is key to such simulations, something that can be achieved in atomic lattices using the well-established Feshbach-resonance approach. While that approach can be used to vary the strength of short-range interactions between atoms, it does not carry over to long-range interactions, leaving some interesting quantum systems outside of the techniques scope. Elmer Guardado-Sanchez at Princeton University and colleagues have now shown that such long-range interactions can be controlled using Rydberg dressing in a lattice of lithium ( 6Li) atoms [1]. The teams demonstration opens up unprecedented opportunities for exploring systems that exhibit rich fermionic many-body physics.

In the Feshbach-resonance approach to interaction control, a variable magnetic field is used to tune the scattering dynamics of colliding atoms. The use of this technique has led to the experimental observation of the crossover between the Bose-Einstein-condensation (BEC) regimein which strongly interacting fermions form bosonic moleculesand the Bardeen-Cooper-Schrieffer (BCS) regimein which weakly interacting fermions form loosely bound Cooper pairs. Quantum phenomena that can be simulated using such interactions range from the electron correlations behind high-temperature superconductors to the quantum kinematics taking place in distant neutron stars. Despite this versatility, there remains an important class of systems beyond the reach of simulations based on local interactions. Those systems are ones composed of spinless fermions, which the Pauli exclusion principle forbids from sitting on top of one another, making local interactions largely irrelevant. Instead, it is the long-range interactions that must be controlled.

One way to engineer such long-range interactions between spinless atomic fermions is to excite the atoms to Rydberg states, in which an electron occupies a high orbital. This method has been proposed theoretically as a way to mediate correlated topological density waves within a fermionic system [2]. Guardado-Sanchez and colleagues now employ the technique experimentally, which they do with an ensemble of spinless, fermionic 6Li atoms.

The team cooled a dilute gas of 6Li atoms in an optical lattice to a quantum degenerate temperature, one where each atoms de Broglie wavelength becomes larger than the interatomic spacing. Unable to reach the ground state simultaneously (because of the Pauli exclusion principle), the atoms freeze one by one at the lowest momentum available, forming a Fermi sea (Fig. 1). In this sea state, the atoms barely interact, and there are both minimal thermal and minimal quantum fluctuations.

The teams next step was to use a laser to implement a Rydberg dressing scheme, which mixes the systems internal ground state with a highly excited Rydberg state. An atom in a Rydberg state exhibits a larger electric dipole moment than one in the ground state because of the greater distance between its ion core and its outermost electron. This dipole-moment enhancement produces an effective soft-core interaction between Rydberg-dressed atoms, meaning that the interaction strength remains roughly constant as the interparticle distance increases, before dropping off above a threshold length scale [24]. The researchers show that they can manipulate the strength and the range of this interaction by varying the intensity and frequency of the laser. Although the Rydberg-dressing-induced interaction is isotropic across the two-dimensional system, the motion (by quantum tunneling) of the fermions is restricted to one dimension. This limited freedom of motion hinders the infamous Rydberg-avalanching-loss process by which Rydberg atoms collide, gain kinetic energy, and escape the trap.

The long-range interaction and the consequent hopping motion of the fermions generate many-body excitationscommonly called quantum fluctuationson top of the Fermi sea. These collective quantum fluctuations can have tremendously rich features, yielding many kinds of quantum-correlated states of matter. The types of phenomena that arise in such a system of interacting fermions depend on the way in which the fermions pair up, or, more precisely, on the momenta of the participating fermions and the Cooper pairs that result. These momentum-dependent interactions, in turn, are governed largely by the range of the interaction relative to the lattice spacing. A soft-core interaction with a tunable length, such as that realized by Guardado-Sanchez and colleagues, could lead to abundant momentum-dependent behaviors, generating, for example, topological density waves [2] and chiral p+ip superfluidity [5]. Such p+ip superfluids support topological Majorana vortices and offer a plausible route toward realizing topological quantum computation.

Even more exotic and counterintuitive phenomena may arise when different pairing possibilities occur simultaneously. For example, although mean-field theories typically predict that superfluidity appears in the presence of purely attractive interactions, functional renormalization group calculations suggest that a complex combination of different fermion pairings should generate unconventional f-wave superfluidity even with atomic repulsion [6]. Guardado-Sanchez and colleagues have so far only demonstrated attractive interactions, but tuning from attraction to repulsion is experimentally feasible [7]. Interesting effects should also arise when the interaction strength completely dominates the kinetic energy, with the system then being driven toward a Wigner crystal or fractional quantum Hall state [8, 9].

In the teams experiment, with its lattice-hopping fermions, the dynamical aspects of the system are more easily observed than the quantum many-body equilibrium states. Uncovering how to probe such states in a nonequilibrium setting should stimulate future theoretical investigation. On the application side, as well as the above-mentioned potential for topological quantum computing, long-range interaction control is a key step toward performing quantum simulations of quantum chemistry problems. Such simulations represent one arena ripe for applications employing the so-called quantum advantage to solve problems that would be intractable using classical computers. One strength of the teams scheme in realizing applications is that, unlike previously developed Feshbach-resonance techniques, it is magnetic-field-free. This aspect provides extra freedom to integrate the technique with certain magnetic-field-sensitive cold-atom quantum technologies, such as artificial gauge fields.

Xiaopeng Li is professor of physics in the Physics Department of Fudan University, China, jointly employed by Shanghai Qi Zhi Institute. He is active in quantum information science and condensed-matter theories, with his primary research interests in exploiting the quantum computation power of various quantum simulation platforms. He received his Ph.D. in physics from the University of Pittsburgh in 2013 and joined Fudan University as a faculty member in 2016 after three years at the University of Maryland, supported by a Joint Quantum Institute theoretical postdoctoral fellowship. He has been a full professor since 2019.

Elmer Guardado-Sanchez, Benjamin M. Spar, Peter Schauss, Ron Belyansky, Jeremy T. Young, Przemyslaw Bienias, Alexey V. Gorshkov, Thomas Iadecola, and Waseem S. Bakr

Phys. Rev. X 11, 021036 (2021)

Published May 17, 2021

A new experimental method based on adsorption can indicate whether a material is a Mott insulator or a common insulator. Read More

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Disturbing the Fermi Sea with Rydberg States - Physics