Archive for the ‘Quantum Computing’ Category

UChicago, Duality Teams to Pitch at 2021 Chicago Venture Summit – Polsky Center for Entrepreneurship and Innovation – Polsky Center for…

Published on Tuesday, September 14, 2021

Several teams from the University of Chicago and Duality the worlds first accelerator focused exclusively on quantum technologies are pitching at the 2021 Chicago Venture Summit.

The venture capital conference takes place September 27-29 and brings together leading venture capital investors and innovation ecosystem leaders with founders.

>> Register for the Deep Tech Showcase, here.

Kicking off the conference on Monday, September 27, the Polsky Center for Entrepreneurship and Innovation and Argonnes Chain Reaction Innovations program are hosting the 2021 Deep Tech Showcase as part of the larger event. The virtual showcase is from 2:00 to 3:30 p.m. (CST).

UChicago and Duality teams pitching include:

// AddGraft Therapeutics is developing a CRISPR-based therapeutic technology using skin cells to treat addiction. The researchers have developed a therapeutic platform that, through a one-time and first-of-its-kind treatment, will effectively cure someone of alcohol use disorder (AUD). The treatment is long-lasting, highly effective, and minimally invasive.

This is completed by using skin epidermal progenitor cells to deliver one or more therapeutic agents. First, the researchers harvest skin stem cells from an AUD patient and genetically modify them using a precise molecular scissor CRISPR. This process will introduce genes that can produce molecules that will significantly reduce the motivation to take or seek alcohol. Then, they re-implant these skin cells into the original host through a skin graft. After the graft has been re-implanted, the skin graft is able to produce these molecules as a bio engine throughout the lifetime of the graft.

Team members:

// Arrow Immuneis developing next-generation biologics for immuno-oncology in solid tumors. The company is developing protein engineering technology to retain IO molecules in the tumor microenvironment, both to function as monotherapies and to enhance response to checkpoint inhibitor immunotherapy.

The company has developed a powerful approach to mask these compounds such that they are inactive in the periphery yet are activated within the tumor, to limit immune-related adverse events and open the therapeutic window.

Team members:

// Axion Technologies is a Tallahassee, FL-based company, developing a quantum random number generator for high-performance computing systems. Its design enables embedding of unique digital signatures for hardware authentication. The company has received a NSF SBIR award.

Team members:

// Esya Labs mission is the early, precise, and cost-effective detection of neurodegenerative diseases. Its first-in-class product for Alzheimers Diseasewill provide a 360-degree perspective enabling early diagnosis, a personalized treatment plan based on ranked drug effectiveness for any given patient, and monitoring disease progression.

The platform uses synthetic DNA strands that have been engineered to function in a specific way. These so-called DNA nanodevices are used to measure lysosomes performance by creating chemical maps of their activity a process that had previously not been possible. The company in

Team members:

// Nanopattern Technologies is commercializing a quantum dot ink that enables the manufacturing of the next generation of energy-efficient, bright, and fast refresh rate displays and recently received a $1 million NSF SBIR grant.

In addition to displays, NanoPatterns patented technology is capable of patterning oxide nanoparticles for optics applications and Near Infrared (NIR) quantum dots for multispectral sensor applications.

Team members:

// qBraid is developing a cloud-based platform for managed access to other quantum computing software and hardware. The platform includes qBraid Learn and qBraid Lab. qBraid Learn is ready to host any courses developed by the quantum computing ecosystem, but the team has also developed their own educational content. qBraid provides a streamlined experience for first-time learners through its QuBes (quantum beginners) course. Hosted on the qBraid-learn platform, QuBes brings students up to speed on all the background knowledge (mathematics, coding, and physics) necessary to then introduce quantum computing.

qBraid-Lab provides a cloud-based integrated development environment (IDE) for quantum software developers. Unlike other in-browser development platforms, qBraids ecosystem specifically optimizes for quantum computing by providing development environments with all common quantum computing packages pre-installed.

The platform is being used by more than 2500 users from top universities, financial institutions, and various national labs. qBraid has also announced recent collaborations with various government agencies (Quantum Algorithms Institute in British Columbia, the Chicago Quantum Exchange, and the QuSteam) in the US and Canada.

Team members:

// Quantopticon, based in the UK, develops software for simulating quantum-photonic devices. The software has applications chiefly in the budding fields of quantum computing and ultra-secure quantum communications.

Quantopticon specializes in modelling quantum systems of the solid-state type, which are commonly embedded in cavity structures in order to control and enhance specific optical transitions.Its software for modelling interactions of light with matter is underpinned by an original and proprietary general methodology developed by the team from first principles.

The purpose of their software is ultimately to save quantum-optical designers time and money, by eliminating the need to carry out repeated experiments to test and optimize physical prototypes.

Team members:

// Super.tech is developing software that accelerates quantum computing applications by optimizing across the system stack from algorithms to control pulses. The company in August announced the launch of a software platform endeavoring to make quantum computing commercially viable years sooner than otherwise possible.

The platform, calledSuperstaQ, connects applications to quantum computers from IBM Quantum, IonQ, and Rigetti, and optimizes software across the system stack to boost the performance of the underlying quantum computers.

Team members:

Of the teams presenting, Axion, qBraid, Quantopticon, and Super.tech were selected from a competitive pool of applicants from all over the globe and vetted by an internal review process to participate in Cohort 1 of Duality.

Launched in April 2021,Duality is the first-of-its-kind accelerator aimed at supporting next-generation startups focused on quantum science and technology. The 12-month program provides world-class business and entrepreneurship training from theUniversity of Chicago Booth School of Business, Polsky Center, and the opportunity to engage the networks, facilities, and programming from the Chicago Quantum Exchange, the University of Illinois Urbana-Champaign, Argonne National Laboratory, and P33.

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UChicago, Duality Teams to Pitch at 2021 Chicago Venture Summit - Polsky Center for Entrepreneurship and Innovation - Polsky Center for...

IonQ Scores Quantum Computing Deal With University Of Maryland And Announces Its Tripling 2021 Bookings – Forbes

IONQ

The relationship between higher education and the tech companies I cover as an analyst is close and mutually beneficial. The private sector often provides technology resources, capital, expertise, and knowledge of industry needs and challenges to research institutions, the sandbox of tomorrows tech innovators and leaders.

Quantum technology is at an exciting crossroads now, where it is beginning to migrate out of the realm of research and academia to seek out early commercialization opportunities. Much quicker and more powerful than traditional computing, quantum technology promises to revolutionize everything from medicine to climate science. It could very well change the world as we know it within our lifetimes.

So naturally, I immediately perked up at this weeks news of the University of Maryland (UMD)s $20 million, 3-year investment in quantum computing, the majority of which will go to IonQ, to co-develop a groundbreaking quantum laboratory at the College Park campus of the University.

The National Quantum Lab at Maryland, or Q-Lab for short, looks to be an ambitious project that could pay significant dividends in the efforts to advance and commercialize quantum technology. While I had initially viewed the word investment as a balance sheet impact, versus revenue, IonQ announced today it has tripled its bookings forecast for 2021, suggesting the UMD deal is very much a revenue event. To be clear, the tripling of bookings isnt only UMD, but includes other customers, too.

Lets look at the players, the deal and what it includes.

Something is happening in College Park

Based in College Park, MD, IonQ was founded in 2015 by Christopher Monroe, a professor at the University of Maryland and Jungsang Kim, a professor at Duke University (a great example of higher eds interconnectivity with the private sector). Built on its founders 25 years of academic quantum research, IonQs bread and butter is a subcategory of quantum computing known as trapped ion quantum computing. While a full explanation of trapped ion computing is well beyond the scope of this blog and more in Moor Insights & Strategys Quantum principal analyst Paul Smith-Goodson, know that it is one of the more promising proposed approaches to achieving a large-scale quantum computer.

UMD College Park, for its part, is known as a leading public research universityparticularly in the field of quantum computing. Marylands flagship university has invested approximately $300 million into the field of quantum science over the last 30-plus years and currently hosts over 200 quantum researchers and seven quantum facilities. The campus is already home to the Quantum Startup Foundry and the Mid-Atlantic Quantum Alliance, two organizations committed to advancing the nascent quantum ecosystem.

Q-lab promises to be the worlds first on-campus, commercial-grade quantum user facility. The stated goal of the Q-lab is to significantly democratize access to IonQs state-of-the-art technology, giving students, faculty and researchers hands-on experience with technology such as the companys 32-qubit trapped-ion quantum computer (the most performant quantum computer in operation). Lab users also stand to benefit from the opportunity to collaborate with IonQs quantum scientists and engineering experts, who will co-locate within the lab (which will be located next door to IonQs College Park headquarters).

IonQs market momentum

The announcement of the Q-lab comes along with a flurry of other exciting activity at IonQ. Last month, the company demonstrated its 4X16 Reconfigurable Multicore Quantum Architecture (RMQA), an industry first. IonQ says this breakthrough could enable it to boost its qubit count up to the triple digits on a single chip, also laying the groundwork for theoretical future Parallel Multicore Quantum Processing Units.

Another significant recent announcement from IonQ was that it will now offer its quantum systems on Google Cloud (the first quantum player to do so). For that matter, it is now the only quantum provider available via all three of the major cloud platforms (Microsoft Azure, Google Cloud and AWS) and through direct API access. I see this as another crucial way in which IonQ is democratizing access to quantum computers.

Additionally, the company recently announced a strategic integration with IBM Qiskit. This quantum software development kit will make it easier for quantum programmers to get up and running with IonQs systems. Rounding out the new developments was the announcement of a partnership with SoftBank Investment Advisors to facilitate enterprise deployment of quantum solutions worldwide.

All of these developments, including the Q-lab, considered, its no wonder today IonQ recently tripled its expectations for its 2021 contract bookings, from an original goal of $5 million to an ambitious $15 million. To be clear, the tripling of bookings isnt only UMD, but includes other customers, too. All of this must look good to investors, who will soon get a crack at the Quantum company when it goes public via a special purpose acquisition company (SPAC) later this month (a merger with dMY Technology Group, Inc) under $DMYI.

Wrapping up

With both a preeminent quantum research school and a private sector quantum leader located in College Park, the Maryland city could soon be a (if not the) veritable epicenter of quantum technology in the United States. The Q-lab has the potential to produce the next generation of quantum innovators, generate new quantum IP and draw even more quantum startups and scientific and engineering talent to College Park.

Were likely a bit away from recognizing quantum computings full potential as a paradigm shift. However, IonQs moves this summer demonstrate that the technology is entering a new, exciting phase of commercialization, which should only accelerate the process of innovation at research locations such as the new Q-lab. Ill be watching with interest.

From the business point of view, it is great to see IonQ drive orders and subsequently revenue. I hear from some of the uninformed that theres no money in quantum. I think the doubters are wrong and when we all get a closer look at IonQs financials, I believe there will be some surprises.

Moor Insights & Strategy, like all research and analyst firms, provides or has provided paid research, analysis, advising, or consulting to many high-tech companies in the industry, including 8x8, Advanced Micro Devices, Amazon, Applied Micro, ARM, Aruba Networks, AT&T, AWS, A-10 Strategies,Bitfusion, Blaize, Box, Broadcom, Calix, Cisco Systems, Clear Software, Cloudera,Clumio, Cognitive Systems, CompuCom, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Digital Optics,Dreamchain, Echelon, Ericsson, Extreme Networks, Flex, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Ion VR,IonQ, Inseego, Infosys, Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation,MapBox, Marvell,Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco),Mesophere, Microsoft, Mojo Networks, National Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek,Novumind, NVIDIA, Nuvia, ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Poly, Panasas,Peraso, Pexip, Pixelworks, Plume Design, Poly,Portworx, Pure Storage, Qualcomm, Rackspace, Rambus,RayvoltE-Bikes, Red Hat,Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak, SONY,Springpath, Spirent, Splunk, Sprint, Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity,TensTorrent,TobiiTechnology, T-Mobile, Twitter, Unity Technologies, UiPath, Verizon Communications,Vidyo, VMware, Wave Computing,Wellsmith, Xilinx, Zebra,Zededa, and Zoho which may be cited in blogs and research.

Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100 rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick founded Moor

Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100 rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick founded Moor Insights & Strategy based on in his real-world world technology experiences with the understanding of what he wasnt getting from analysts and consultants. Moorhead is also a contributor for both Forbes, CIO, and the Next Platform. He runs MI&S but is a broad-based analyst covering a wide variety of topics including the software-defined datacenter and the Internet of Things (IoT), and Patrick is a deep expert in client computing and semiconductors. He has nearly 30 years of experience including 15 years as an executive at high tech companies leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.Before Patrick started the firm, he spent over 20 years as a high-tech strategy, product, and marketing executive who has addressed the personal computer, mobile, graphics, and server ecosystems. Unlike other analyst firms, Moorhead held executive positions leading strategy, marketing, and product groups. He is grounded in reality as he has led the planning and execution and had to live with the outcomes.Moorhead also has significant board experience. He served as an executive board member of the Consumer Electronics Association (CEA), the American Electronics Association (AEA) and chaired the board of the St. Davids Medical Center for five years, designated by Thomson Reuters as one of the 100 Top Hospitals in America.

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IonQ Scores Quantum Computing Deal With University Of Maryland And Announces Its Tripling 2021 Bookings - Forbes

Quantum Computing Will Soon Takeover the Tech-Sphere Leading the Digital Era – Analytics Insight

The word quantum gained momentum in the late twentieth century as a descriptor i.e., something so huge that it defied the normal adjectives. For instance, a quantum leap is an emotional headway with lots of drama in it. Now, at the point when quantum is applied to computing, nonetheless, we are without a doubt entering a time of emotional progression with dramatic advancement.

Quantum computing is an innovation that is dependent on the standards and principles of quantum theory, which clarifies the idea of energy and matter on the atomic and subatomic levels. It depends on the presence of mind-bending quantum-mechanical phenomena, like superposition and entanglement.

Erwin Schrdingers popular 1930s psychological experiment including a cat that was both dead and alive simultaneously was expected to feature the evident idiocy of superposition, the rule that quantum frameworks can exist in various states at the same time until noticed or estimated. Today, quantum computers contain many qubits (quantum bits), which exploit that very rule. Each qubit exists in a superposition of zero and one (for example has non-zero probabilities to be a zero or a one) until estimated. The improvement of qubits has suggestions for managing gigantic measures of data and accomplishing already impossible degrees of computing efficiency that are the tempting capability of quantum computing.

Different parties are adopting various strategies to quantum computing, so a single clarification of how it functions would be subjective. In a qubit, the whole circle can hold countless different states, and relating those states between qubits empowers certain connections that make quantum processing appropriate for an assortment of explicit assignments that old-style figuring cant achieve. Making qubits and keeping up with their reality adequately long to achieve quantum registering undertakings is a continuous ongoing challenge.

These are only the beginnings of the strange universe of quantum mechanics. By and by, in any case, a qubit of clever obscurity on how quantum figuring functions should get the job done for the time being. Quantum computings purpose is to help and expand the capacities of classical computing. Quantum computers will play out specific tasks significantly more productively than classical computers, giving us another device for explicit applications. Quantum computers wont replace their classical partners. Indeed, quantum computers require classical computers to help their specific capacities, like system optimization.

Quantum computers will be valuable in advancing answers for challenges in different fields like energy, finance, medical care, aviation among others. Their abilities will assist us with relieving infections, work on worldwide monetary business sectors, detangle traffic, battle environmental change and the sky is the only limit from there for the wonders quantum computing can make. For example, it can possibly accelerate drug discovery and advancement, and to work on the accuracy of the atmospheric models that are used to follow up and clarify environmental change and its hazardous impacts.

Intels 17-qubit superconducting test chip for quantum computing has unique features for improved connectivity and better electrical and thermo-mechanical performance. (Credit: Intel Corporation).

Not only this, but quantum computing is also responsible for the investments of millions of USDs into various giant corporations like IBM, Intel, Microsoft, etc. expecting an inevitable future of quantum computing led by qubits.

Quantum computers could likewise deliver correspondence safer in the manner data is teleported. Theres one more term related to science fiction films. Notwithstanding, the marvel of entanglement lies behind quantum mechanics: two qubits are connected together so that a change to one makes a change its relating qubit. This happens without delays, over any distance, and obviously with no actual association like links or radio waves.

Utilizing this thought key codes for information transmission could be produced. The shrewd thing here is that the quantum condition of the qubit changes with each unapproved access for instance, an assault from a programmer. The correspondence accomplices would see this as an unsettling influence in their correspondence, would consequently be cautioned, and could utilize another key. This way, we could actually put an end to cyber-attacks.

This way, quantum computings future glows brightly with no turnbacks leading to a glorious leap into the most advanced digital era.

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Quantum Computing Will Soon Takeover the Tech-Sphere Leading the Digital Era - Analytics Insight

Quantum Computing Theorist Vojtech Vlcek Receives Research Award from DOE – HPCwire

Sept. 8, 2021 How can one predict a materials behavior on the molecular and atomic levels, at the shortest timescales? Whats the best way to design materials to make use of their quantum properties for electronics and information science?

These broad, difficult questions are the type of inquiries that UC Santa Barbara theorist Vojtech Vlcek and his lab will investigate as part of a select group of scientists chosen by the U.S. Department of Energy (DOE) to develop new operating frameworks for some of the worlds most powerful computers. Vlcek will be leading one of five DOE-funded projects to the tune of $28 million overall that will focus on computational methods, algorithms and software to further chemical and materials research, specifically for simulating quantum phenomena and chemical reactions.

Its really exciting, said Vlcek, an assistant professor in the Department of Chemistry and Biochemistry, and one of, if not the youngest researcher to lead such a major endeavor. We believe we will be for the first time able to not only really describe realistic systems, but also provide this whole framework for ultrafast and driven phenomena that will actually set the scene for future developments.

I congratulate Vojtech Vlcek on being selected for this prestigious grant, said Pierre Wiltzius, dean of mathematical, physical and life sciences at UC Santa Barbara. Its especially impressive and unusual for an assistant professor to lead this type of complex, multi-institution research project. Vojtech is in a league if his own, and I look forward to future insights that will come from the teams discoveries.

A Multilayer Framework

As part of the DOEs efforts toward clean energy technologies, scientists across the nation study matter and energy at their most fundamental levels. The goal is to design and discover new materials and processes that can generate, manipulate and store energy techniques that have applications in a wide variety of areas, including energy, environment and national security.

Uncovering these potentially beneficial phenomena and connecting them to the atoms they come from is hard work work that could be assisted with the use of the supercomputers that are housed in the DOEs national laboratories.

DOEs national labs are home to some of the worlds fastest supercomputers, and with more advanced software programs we can fully harness the power of these supercomputers to make breakthrough discoveries and solve the worlds hardest to crack problems, said U.S. Secretary of Energy Jennifer M. Granholm. These investments will help sustain U.S. leadership in science, accelerate basic energy and advance solutions to the nations clean energy priorities.

Among these hard-to-crack problems is the issue of many interacting particles. Interactions are more easily predicted in a system of a few atoms or molecules, or in very regular, periodic systems. But add more bodies or use more elaborate systems and the complexity skyrockets because the characteristics and behaviors of and interactions between every particle have to be accounted for. In some cases, their collective behaviors can produce interesting phenomena that cant be predicted from the behavior of individual particles.

People have been working with small molecules, or characterizing perfectly periodic systems, or looking at just a few atoms, Vlcek said, and more or less extending their dynamics to try to approximate the behaviors of larger, more complex systems.

This is not necessarily realistic, he continued. We want to simulate surfaces. We want to simulate systems that have large-scale periodicity. And in these cases you need to consider systems that are not on nanometer scales, but on the scale of thousands of atoms.

Add to that complexity non-equilibrium processes, which are the focus of Vlceks particular project. He will be leading an effort that involves an additional seven co-principal investigators from UC Berkeley, UCLA, Rutgers University, University of Michigan and Lawrence Berkeley National Laboratory.

Essentially these systems are driven by some strong external stimuli, like from lasers or other driving fields, he said. These processes are relevant for many applications, such as electronics and quantum information sciences.

The goal, according to Vlcek, is to develop algorithms and software based on a multilayer framework with successive layers of embedding theories to capture non-equilibrium dynamics. The team, in partnership with two DOE-supported Scientific Discovery through Advanced Computing (SciDAC) Institutes at Lawrence Berkeley and Argonne National Laboratories, begins with the most fundamental assumptions of quantum theory. That foundation is followed by layers that incorporate novel numerical techniques and neural network approaches to take advantage of the intensive computing the supercomputers can perform.

We still stay with the first principles approach, but were making successive levels of approximations, Vlcek explained. And with this approach well be able to treat extremely large systems. Among the many advantages of the methodology will be the ability for the first time to describe experimental systems in real-time, as they are driven by external forces.

The outcome of the project will be bigger than the sum of its parts, said Vlcek. Not only will it provide a method of studying and designing a wide variety of present and future novel materials, the algorithms are also meant for future supercomputers.

One interesting outcome will be that we will also try to connect to future computational platforms, which could possibly be quantum computers, he said. So this framework will actually allow future research on present and future novel materials as well as new theoretical research.

Source: UC Santa Barbara

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Quantum Computing Theorist Vojtech Vlcek Receives Research Award from DOE - HPCwire

Atomically-Thin, Twisted Graphene Has Unique Properties That Could Advance Quantum Computing – Californianewstimes.com

A new collaborative study describes how electrons move through two different configurations of two-layer graphene, which is in the form of atomically thin carbon. These results provide insights that researchers can use to design more powerful and secure quantum computing platforms in the future.

Researchers explain how electrons move in two-dimensional layers Graphene, Findings that may lead to future design progress Quantum computing platform.

New research published in Physical review letter Describes how electrons move through two different configurations of two-layer graphene, which is an atomically thin form of carbon.This study was conducted at Brookhaven National Laboratory, University of Pennsylvania, New Hampshire University, Stony Brook University, and Columbia UniversityProvides insights that researchers can use to design more powerful and secure quantum computing platforms in the future.

Todays computer chips are based on knowledge of how electrons move in semiconductors, especially silicon, said Zhongwei Dai, the first co-author of a Brookhaven postdoc. But the physical properties of silicon are reaching their physical limits in how small transistors can be made and how many can fit on a chip. Quantum is shrinking in two-dimensional materials. Understanding how it works on a small scale of a few nanometers in another dimension could unleash another way to use electrons in quantum information science.

When a material is designed to a size of a few nanometers on these small scales, the electrons are confined in a space of the same dimensions as its own wavelength, and the overall electronic and optical properties of the material are a process that follows: It changes with. Quantum confinement. In this study, researchers used graphene to study these confinement effects on both electrons and photons, or particles of light.

This work relied on two independently developed advances in Penn and Brookhaven. Pen researchers, including former postdoctoral fellow Zhaoli Gao in Charlie Johnsons lab, currently enrolled at the Chinese University of Hong Kong, used their own gradients-alloy A growth substrate for growing graphene with three different domain structures: single layer, Bernal stack double layer, and twisted double layer. Next, the graphene material was transferred to a special substrate developed in Brookhaven. This allowed researchers to investigate both the electronic and optical resonances of the system.

This is a great collaboration, says Johnson. By combining the great features of Brookhaven and the pen, we can make important measurements and discoveries that none of us can do on our own.

Researchers have been able to detect both electronic and optical interlayer resonances, and have found that in these resonance states, electrons move back and forth across the 2D interface at the same frequency. Their results also suggest that the distance between the two layers increases significantly in a twisted configuration, which affects how electrons move due to interlayer interactions. They also found that twisting one of the graphene layers by 30 shifts the resonance to lower energies.

Devices made of rotated graphene can have very interesting and unexpected properties due to the large spacing between electrons that can move, said Julek Sadowski, co-author of Brookhaven. increase.

In the future, researchers will use twisted graphene to build new devices, and at the same time, based on the results of this study, adding various materials to the layered graphene structure will result in downstream electronic and optical properties. See how it affects you.

We look forward to continuing to work with our Brookhaven colleagues at the forefront of the application of 2D materials in quantum science, says Johnson.

See also: Quantum well bound state of graphene heterostructure interface by Zhongwei Dai, Zhaoli Gao, Sergey S. Pershoguba, Nikhil Tiwale, Ashwanth Subramanian, Qicheng Zhang, Calley Eads, Samuel A. Tenney, Richard M. Osgood, Chang-Yong Nam, Zhaoli Gao, AT Charlie Johnson and Jersey T. Sadowski, August 20, 2021 Physical review letter..DOI: 10.1103 / PhysRevLett.127.086805

The complete list of co-authors includes Zhaoli Gao (now the Chinese University of Hong Kong), Qicheng Zhang, and Charlie Johnson of the University of Pennsylvania. Brookhaven Zhongwei Dai, Nikhil Tiwale, Calley Eads, Samuel A. Tenney, Chang-Yong Nam, Jerzy T. Sadowski. Sergey S. Pershogub and Jiadong Zang of the University of New Hampshire. Ashwanth Subramanian of Stony Brook University; Richard M. Osgood of Columbia University.

Charlie Johnson is Professor Rebecca W. Bushnell of the Department of Physics and Astronomy, Faculty of Arts and Sciences, University of Pennsylvania.

This study is supported by National Science Foundation grants MRSECDMR-1720530 and EAGER1838412. Brookhaven National Laboratory is supported by the US Department of Energys Department of Science.

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Atomically-Thin, Twisted Graphene Has Unique Properties That Could Advance Quantum Computing - Californianewstimes.com