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Please note: this is the second session (Advanced) of a workshop that takes place over two sessions. It is recommended that you attend both sessions. You need to register for the first (Introduction) session separately.

In this free hands-on workshop you will learn how to use Amazon Braket, a fully managed quantum computing service designed to help speed up scientific research and software development for quantum computing. You will skill up your quantum computing knowledge and have the opportunity to use quantum simulators and quantum computers to complete hands-on exercises. By popular demand this workshop will also cover analog Hamiltonian simulation with the 256-qubit processor Aquila from QuEra Computing, Inc. You will be provided with free 72 hours access to Amazon Braket to experiment with example notebooks and run programs on available quantum resources.

The workshop will be split in two 3-hour sessions. The first day of the workshop will be aimed at first-time users of Amazon Braket and introduce quantum simulators and gate-based quantum computers. The second day will be dedicated to more advanced topics on the Quantum Approximate Optimization Algorithm (QAOA) and analog Hamiltonian simulation with QuEra Aquila. The workshop is designed to be self-contained, but basic knowledge of the Python programming language and some familiarity with quantum gates and circuits is desirable. Advanced users who wish to skip introductory content can attend day 2 only.

Day 1 (Introduction): 4/17/2023 1PM-4PMDay 2 (Advanced): 4/19/2023 2PM-5PM

Presenter(s):Brajesh Gupt, Quantum Applied Scientist at Amazon Web Services (AWS)

Registration link (Day 2, Advanced ONLY):https://ucf.qualtrics.com/jfe/form/SV_cXTLDl2PLtuMd4q

Registration link (Day 1, Introduction ONLY):https://ucf.qualtrics.com/jfe/form/SV_by0lWGPqQEDxl6m

Research Computing and Data Workshops SeriesWe are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF Libraries,UCF Graduate and Research IT, andUCF Advanced Research Computing Center (ARCC)and will feature some guest speakers from the broader research community.This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Office of Research.

Upcoming WorkshopsFor the complete line-up of upcoming Research Computing and Data Workshops, please visit:https://rci.research.ucf.edu/workshops

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Amazon Braket for Quantum Computing Research Advanced ... - University of Central Florida

La Dfense, PARIS, France:

As a driving force in the second quantum revolution, Thales has joined forces with around twenty deep tech, academic and industry partners, as part of the EuroQCI initiative (European Quantum Communication Infrastructure), which aims to deploy a quantum communication infrastructure for EU member states within three years.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20230414005211/en/

Carlos Castilla

By 2040, quantum computers could use their unprecedented computational power to decode encrypted data, incomparably threatening the security of even the best-protected communication systems. EuroQCI aims to counter that threat by developing sovereign systems to protect the communications and data assets of critical infrastructure providers and government institutions.

The longer-term objective of the initiative is to create a Quantum Information Network (QIN) that will harness the phenomenon of quantum entanglement not only to guarantee communications security but also to create networks of quantum sensors and processors, which have the potential to drive exponential increases in the already outstanding performance of quantum sensors and quantum computers.

As part of this effort, today, Thales is breaking new ground as a member of multiple new consortia that have been set up since late 2022 in these domains:

Specifically, the Thales teams taking part in these projects are working to develop quantum key generation, distribution and management equipment and the associated communication encryption devices, as well as defining the architecture of these quantum communication infrastructures.

Thales operates the largest quantum physics research facilities in Europe, in partnership with the CNRS, and some 100 engineers and researchers are currently engaged in the development of the quantum solutions (sensors, communications and algorithms) that will play a foundational role in tomorrow's world. These new consortia will all benefit from Thales's multi-disciplinary expertise, in particular in the field of secure communication networks.

About Thales

Thales (Euronext Paris: HO) is a global leader in advanced technologies within three domains: Defence & Security, Aeronautics & Space, and Digital Identity & Security. It develops products and solutions that help make the world safer, greener and more inclusive.

The Group invests close to 4 billion a year in Research & Development, particularly in key areas such as quantum technologies, Edge computing, 6G and cybersecurity.

Thales has 77,000 employees in 68 countries. In 2022, the Group generated sales of 17.6 billion.

View source version on businesswire.com: https://www.businesswire.com/news/home/20230414005211/en/

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Thales Prepares to Secure European Infrastructures Against Attacks ... - Business Wire India

Lifestyle

By Alex Mitchell

April 12, 2023 | 6:35pm

Creeped out by ChatGPT? Frightened of a future where artificial intelligence replaces the real thing? Brace yourself, because here comes quantum computing.

The developing technology which relies on subatomic, quantum mechanics could accelerate the advancement of AI to lightning speed, experts say.

Such a powerful upgrade could lead to amazing things or terrible ones.

We could cure cancer with quantum computing combined with AI, Lisa Palmer, chief AI strategist for the consulting firm AI Leaders told The Post. There is a huge upside here like upgrading from a bicycle to a high speed sports car.

In the wrong hands, however, that kind of power could be devastating to society especially when it comes to hacking.

One of the worst cases is that it can be detrimental to financial systems in the hands of bad actors, Palmer said. A data breach could happen for every bank account in their entire system.

The revolutionary technology uses subatomic quantum bits, aka qubits, for data processing. It replaces the conventional approach of using binary bits like zeros and ones for data. The approach is significantly faster and more efficient to a point where the possibilities are infinite.

Using quantum computing, we can simulate the physical world in a way that is much, much faster, Pengcheng Shi, associate dean in the department of computing and information sciences at Rochester Institute of Technology, told The Post.

The turbocharged tech has seen major investments from companies like IBM, who have put $20 billion behind the rapidly evolving machinery. Google is an investor as well.

And while quantum computing is still in its infancy, it wont be for long.

Palmer speculates that it could see practical use in three to five years. IBM is already on pace for a substantial breakthrough by 2026 as well, Forbes reported.

Once mature, the technology will likely yield outstanding breakthroughs in the field of medicine particularly in accelerating pharmacology and the development of medications, according to Shi.

The professor also predicts that quantum computing will likely play a major role in space exploration, particularly in the use of mapping for optics such as the Webb telescope.

Beyond breakneck speed, quantum can also substantially increase quality in AI and make it more creative, according to AI expert and CUNY Queens College professor Jamie Cohen.

Currently, AI such as ChatGPT, or generative image AI programs like Midjourney is limited by its machine output processing and, like people, becomes fatigued to a point where it impacts performance.

The reason why Bing limited its AI, Sydney, to five prompts is because its answers are more degenerative each time that could all change with quantum computing, Cohen told The Post, adding that one day it might be able to train itself.

No matter what happens, theres a silver lining, experts say: Computer users everywhere can look forward to the end of pesky, time-consuming two-factor authentication, which in the face of the power and speed of quantum will be about as effective as taping a door shut to keep it locked.

Standard encryption today is going to be crushed by the quantum computers forget about two-factor authentication, Shi said, noting that the super rapid processors will render the tool obsolete, while offering greater protection through deeper, more efficient encryption.

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Think AI is scary now? Wait till it gets boosted by quantum computing - New York Post

Quantum computers could potentially revolutionize multiple industries with their unparalleled efficiency and scalability compared to transistor-based CPUs. Analysts point to an estimated $125 billion market up for grabs by the conclusion of the current decade. Therefore, quantum computing stocks to buy offer tremendous upside ahead, with a sector poised for a staggering 37% annualized growth rate through 2030.

Quantum computers can effectively tackle complex and large-scale problems across various sectors, including transportation, chemicals, banking, and others, attracting substantial investment. Moreover, Wall Streets spotlight turned to this burgeoning sector in 2021. Furthermore, according to McKinseys research, quantum technology companies secured a whopping $1.4 billion in funding in 2022, more than doubling the previous years figure.

Despite its promising future, the sector is still in its nascency, with investments primarily focused on research and development. With that in mind, lets consider the three most promising quantum computing stocks to buy this month.

Source: JHVEPhoto / Shutterstock.com

IBM(NYSE:IBM) is one of the top quantum computing plays, which boasts an incredible line-up of products in the sector. It boasts over 20 of the most powerful quantum computing systems, with itsmost recent 433 qubits release.

In 2016, it released its first publicly available codable quantum computer, following up the IBM Falcon in 2019. The Falcon is the first commercially available quantum computer, which has become the most popular system to date. Moreover, IBM plans to release its much-talked-aboutCondor computer, which can effectively handle 1,121 qubits. Over the next couple of years, the company plans to have a processor with a whopping 4,158 qubits.

Though quantum computing represents just a small part of IBMs business, IBM stock could move independently in line with the expansion in the quantum computing space.

Source: Amin Van / Shutterstock.com

IonQ(NYSE:IONQ) is arguably the best pure-play in the quantum computing space. The firm is developing trapped-ion quantum computers that can be used effectively for general use and haspartnershipshaving a profound impact on its financials. Many of these partners have massive cash war chests, including Microsoft(NASDAQ:MSFT) and Dell(NYSE:DELL).

Revenues for the firm have been rising tremendously each quarter, with sales rising 130.9% from the fourth quarter of last year to the fourth quarter of 2022. Moreover, its gross margins stand at a remarkable 76.3%, with the firm recently announcing the completion of its 32-qubit quantum computer.

Furthermore, it has a robust balance sheet with$355 million in cashand short-term investments. With this stockpile, the company can effectively weather the economic volatility for the foreseeable future and continue pushing toward long-term expansion.

Source: Sundry Photography / Shutterstock.com

As the quantum computing revolution gains momentum, semiconductor giant Taiwan Semiconductor(NYSE:TSM)has made impressive strides to stay ahead of the curve. Semiconductors are critical components in quantum computing, facilitating the creation of advanced processors. With TSMCs leading position in the chip sphere, it has the potential to become a major player in the quantum computing space.

Furthermore, in its unique collaboration with Taiwans Ministry of Science and Technology, the firm has unveiled a state-of-the-art cloud computing platform that effectively unlocks the potential of quantum algorithms for businesses. This fruitful partnership is expected to span nearly five years, positioning the company as a trailblazer in this evolving space.

Its underlying business remains incredibly robust, with it generating an incredible 16% and 17% growth in sales and EBITDA, respectively, over the past five years. The semiconductor shortage led to a hefty margin bump this year, with the company aiming for 15% to 20% sales growth in U.S. dollar terms. Moreover, it also targets profit margins north of 50%, with an impressive return on equity of over 25%.

On the date of publication, Muslim Farooque did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

Muslim Farooque is a keen investor and an optimist at heart. A life-long gamer and tech enthusiast, he has a particular affinity for analyzing technology stocks. Muslim holds a bachelors of science degree in applied accounting from Oxford Brookes University.

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The 3 Most Promising Quantum Computing Stocks to Buy in April - InvestorPlace

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The next generation of quantum devices requires high-coherence qubits that are less error-prone. Responding to this need, researchers at the AQT at Berkeley Lab, a state-of-the-art collaborative research laboratory, developed a blueprint for a novel quantum processor based on "fluxonium" qubits. Fluxonium qubits can outperform the most widely used superconducting qubits, offering a promising path toward fault-tolerant universal quantum computing.

In collaboration with researchers from the University of California, Berkeley, and Yale University, the AQT team pioneered a systematic theoretical study of how to engineer fluxonium qubits for higher performance while offering practical suggestions to adapt and build the cutting-edge hardware that will fully harness the potential of quantum computing. Their results were published in the journal PRX Quantum.

Superconducting quantum processors consist of multiple qubits designed to have different transition frequencies facilitating precise control of individual qubits and their interactions. The transmon qubit, one of the most widely used in the field for superconducting processors, typically has low anharmonicity. Anharmonicity is the difference between relevant transition frequencies in a qubit. Low anharmonicity contributes to spectral crowding (when qubit frequencies are close to resonating with each other), making the processor more difficult to control since qubit frequencies are arranged tightly together.

In contrast, high anharmonicity allows researchers to have better qubit control because there's less overlap between the frequencies that control the qubits and those that drive any given qubit to higher energy levels. The fluxonium qubit has inherent advantages for complex superconducting processors, such as high anharmonicity, long coherence times, and simple control. Project Scientist Long B. Nguyen at Berkeley Lab's Advanced Quantum Testbed. Nguyen is the lead paper author. Credit: Monica Hernandez/Berkeley Lab

Building on AQT's robust research and development history on superconducting circuits, the team leading the fluxonium-based architecture focused on the scalability and adaptability of the processor's main components, with a set of parameters that researchers can tune to increase the runtime and fidelity of quantum circuits. Some of these adaptations allow simpler operation of the system. Researchers proposed, for example, controlling the fluxonium qubits at low frequency (1-GHz) via microwave pulses directly generated by an electrical arbitrary waveform generator. This straightforward approach allows researchers to design processors and set up multiple qubits flexibly.

Long B. Nguyen is a project scientist at AQT and the paper's lead author. Nguyen started researching alternative superconducting qubits as a University of Maryland graduate student working with Professor Vladimir Manucharyan. Manucharyan introduced fluxonium qubits to the field just a decade earlier, and in 2019 Nguyen demonstrated the possible longer coherence times with fluxonium circuits. The fluxonium circuit is composed of three elements: a capacitor, a Josephson Junction, and a superinductor, which helps suppress magnetic flux noisea typical source of unwanted interference that affects superconducting qubits and causes decoherence.

"I always wanted to study new physics, and I focused on fluxonium because it appeared to be a better alternative to the transmon at the time. It has three circuit elements that I could play with to get the type of spectra I wanted. It could be designed to evade decoherence due to material imperfections. I also recently realized that scaling up fluxonium is probably more favorable since the estimated fabrication yield is high, and the interactions between individual qubits can be engineered to have high-fidelity," explained Nguyen.

To estimate and validate the performance of the proposed fluxonium blueprint, the team at AQT, in collaboration with the paper's researchers, simulated two types of programmable quantum logic gatesthe cross-resonance controlled-NOT (CNOT) and the differential ac-Stark controlled-Z (CZ). The high fidelities resulting from the gates' simulation across the range of proposed qubit parameters validated the team's expectations for the suggested blueprint.

"We provided a potential path towards building fluxonium processors with standard, practical procedures to deploy logic gates with varying frequencies. We hope that more R&D on fluxonium and superconducting qubit alternatives will bring about the next generation of devices for quantum information processing," said Nguyen.

More information: Long B. Nguyen et al, Blueprint for a High-Performance Fluxonium Quantum Processor, PRX Quantum (2023). DOI: 10.1103/PRXQuantum.3.037001. link.aps.org/doi/10.1103/PRXQuantum.3.037001

Journal information: PRX Quantum

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Innovating quantum computers with fluxonium processors - Phys.org