Quantum algorithm
algorithm for factoring, the general number field sieve
Optimization algorithm
deterministic quantum algorithm Deutsch-Jozsa algorithm
Entanglement
Enigma
Quantum Teleportation
Quantum Computing: Welcome to the FutureVernBrownell
Vern Brownell, CEO at D-Wave Systems, shares his thoughts on Quantum Computing in this presentation, which he delivered at Compute Midwest in November 2014. He addresses big questions that include: What is a quantum computer? How do you build one? Why does it matter? What does the future hold for quantum computing?
Quantum Computing: Welcome to the FutureVernBrownell
Vern Brownell, CEO at D-Wave Systems, shares his thoughts on Quantum Computing in this presentation, which he delivered at Compute Midwest in November 2014. He addresses big questions that include: What is a quantum computer? How do you build one? Why does it matter? What does the future hold for quantum computing?
Quantum computing is the computing which uses the laws of quantum mechanics to process information. Quantum computer works on qubits, which stands for "Quantum Bits".
With quantum computers, factoring of prime numbers are possible.
-It is a good ppt for a beginner to learn about Quantum
Computer.
-Quantum computer a solution for every present day computing
problems.
-Quantum computer a best solution for AI making
This presentation is about quantum computing.which going to be new technological concept for computer operating system.In this subject the research is going on.
An overview of quantum computing, with its features, capabilities and types of problems it can solve. Also covers some current and future implementations of quantum computing, and a view of the patent landscape.
After Moore’s law-which states that the number of
microprocessors/transistors on an integrated circuit doubles
once every two years at the same cost—is running out of
steam. The question is what might replace it
Gordon Moore’s Law benefits for some degree of expansion.
Already larger smartphones and tablets and improvements in
hardware efficiency are picking up some of the slack as it
becomes harder and harder to fit more transistors on a dense
integrated circuit.
So the Moore’s Law must come to an end because it is a
physical phenomenon governed by the physical limits of the
universe.
To solve for the future we need to design a new type of
computer which, aptly named “Quantum computers”, utilizes
the laws of quantum mechanics to create exponentially greater
processing power and uses a new unit of information called a “
Qubit ”, rather than a bit.
Scientists have already built basic Quantum computers that can
perform certain calculations; but a practical quantum computer
is still years away. In this presentation you’ll learn what a
quantum computer is and for what it’ll be used in the next era of
computing.
This is a seminar on Quantum Computing given on 9th march 2017 at CIME, Bhubaneswar by me(2nd year MCA).
Video at - https://youtu.be/vguxg0RYg7M
PDF at - http://www.slideshare.net/deepankarsandhibigraha/quantum-computing-73031375
Quantum Computers New Generation of Computers Part 8 Quantum Error Correction...Professor Lili Saghafi
One of the biggest hurdles faced by quantum computing researchers is called decoherence — the tendency of quantum systems to be disturbed.
This vulnerability to noise leads to errors, which can be overcome by quantum error correction.
Because error correction techniques are themselves susceptible to noise, it is crucial to develop fault-tolerant correction.
In this part we will talk about:
• Decoherence
• Fault-Tolerant Correction
• Nuclear Magnetic Resonance
• Quantum Error Correction
• Future Quantum Internet
• Quantum Networkers
• Silicon Semiconductors Limits
• Diamond-Driven Technology
• Diamond Crystals
• Interference
• Niobium
• What Is Graphene
• Scanning Tunneling Microscope
• Weyl Fermion
• Massless Particle Known As A Weyl Fermion
• Quasiparticle
• “Middle Man” Nuclei
• Hyperfine Interaction
• Computing Power Of A Huge Number Of Parallel Universes
• Many-Worlds Interpretation (Mwi)
• Quantum Computing Power
Quantum computing is the computing which uses the laws of quantum mechanics to process information. Quantum computer works on qubits, which stands for "Quantum Bits".
With quantum computers, factoring of prime numbers are possible.
-It is a good ppt for a beginner to learn about Quantum
Computer.
-Quantum computer a solution for every present day computing
problems.
-Quantum computer a best solution for AI making
This presentation is about quantum computing.which going to be new technological concept for computer operating system.In this subject the research is going on.
An overview of quantum computing, with its features, capabilities and types of problems it can solve. Also covers some current and future implementations of quantum computing, and a view of the patent landscape.
After Moore’s law-which states that the number of
microprocessors/transistors on an integrated circuit doubles
once every two years at the same cost—is running out of
steam. The question is what might replace it
Gordon Moore’s Law benefits for some degree of expansion.
Already larger smartphones and tablets and improvements in
hardware efficiency are picking up some of the slack as it
becomes harder and harder to fit more transistors on a dense
integrated circuit.
So the Moore’s Law must come to an end because it is a
physical phenomenon governed by the physical limits of the
universe.
To solve for the future we need to design a new type of
computer which, aptly named “Quantum computers”, utilizes
the laws of quantum mechanics to create exponentially greater
processing power and uses a new unit of information called a “
Qubit ”, rather than a bit.
Scientists have already built basic Quantum computers that can
perform certain calculations; but a practical quantum computer
is still years away. In this presentation you’ll learn what a
quantum computer is and for what it’ll be used in the next era of
computing.
This is a seminar on Quantum Computing given on 9th march 2017 at CIME, Bhubaneswar by me(2nd year MCA).
Video at - https://youtu.be/vguxg0RYg7M
PDF at - http://www.slideshare.net/deepankarsandhibigraha/quantum-computing-73031375
Quantum Computers New Generation of Computers Part 8 Quantum Error Correction...Professor Lili Saghafi
One of the biggest hurdles faced by quantum computing researchers is called decoherence — the tendency of quantum systems to be disturbed.
This vulnerability to noise leads to errors, which can be overcome by quantum error correction.
Because error correction techniques are themselves susceptible to noise, it is crucial to develop fault-tolerant correction.
In this part we will talk about:
• Decoherence
• Fault-Tolerant Correction
• Nuclear Magnetic Resonance
• Quantum Error Correction
• Future Quantum Internet
• Quantum Networkers
• Silicon Semiconductors Limits
• Diamond-Driven Technology
• Diamond Crystals
• Interference
• Niobium
• What Is Graphene
• Scanning Tunneling Microscope
• Weyl Fermion
• Massless Particle Known As A Weyl Fermion
• Quasiparticle
• “Middle Man” Nuclei
• Hyperfine Interaction
• Computing Power Of A Huge Number Of Parallel Universes
• Many-Worlds Interpretation (Mwi)
• Quantum Computing Power
Quantum Computers PART 5 Scanning Tunneling Microscope by Lili SaghafiProfessor Lili Saghafi
Quantum Tunneling
Teleportation
Nano Technology
Qubits build
How do we image or manipulate atoms now
Scanning tunnelling microscope
It has fine metal tips , when you bring it down to atom surface , you apply a voltage , it creates a current, it keeps current constant , move that tip through the atom,
as it move it deflect in height , from that you can image the atom on the surface, and then you raster- scanner it , rather like a television screen
Quantum Computers New Generation of Computers Part 9 Quantum Computers Readin...Professor Lili Saghafi
Since instead of just computing in a linear binary way, with the presence or absence of an electrical charge being converted into "bits" of zeros or ones, Quantum Computers can take the rich quantum properties of subatomic particles and turn them into "Qubits" that can be both zero and one at the same time.
Quantum Computers could potentially run simulations and solve problems that are far too big for today's computers.
But there is a catch: A Quantum Computer could also break public encryption keys used today to keep data safe.
Quantum-readiness plan, providing advice about where vulnerabilities might be in the quantum-computer era, and strategies and tools that could be implemented now to make any transition into that era much easier.
Quantum Computers PART 3 Computer That Program itself by Prof. Lili SaghafiProfessor Lili Saghafi
The light switch game
The energy program
Calculate The Distance Between Two Large Vectors
Quantum Computers can LEARN
A computer that programs itself
Uncertainty is a feature
Quantum Computers New Generation of Computers part 6 by Prof Lili SaghafiProfessor Lili Saghafi
Qubits Out Of Diamonds
Quantum Entanglement
What Future Leads
Blind Quantum Computing
Teleportation For Error Correction
Could The Universe Be A Giant Quantum Computer?
Gamma-ray Shaping Could Lead To 'Nuclear' Quantum Computers
Research Areas
ALGORITHMS
Quantum Metrology
Quantum Noise
Potential Applications & Nasa
What questions we should ask from Quantum Computers ???
This lecture is intended to introduce the concepts and terminology used in Quantum Computing, to provide an overview of what a Quantum Computer is, and why you would want to program one.
The material here is using very high level concepts and is designed to be accessible to both technical and non-technical audiences.
Some background in physics, mathematics and programming is useful to help understand the concepts presented.
Quantum Computers New Generation of Computers PART1 by Prof Lili SaghafiProfessor Lili Saghafi
This lecture is intended to introduce the concepts and terminology used in Quantum Computing, to provide an overview of what a Quantum Computer is, and why you would want to program one.
The material here is using very high level concepts and is designed to be accessible to both technical and non-technical audiences.
Some background in physics, mathematics and programming is useful to help understand the concepts presented.
Exploits Quantum Mechanical effects
Built around “Qubits” rather than “bits”
Operates in an extreme environment
Enables quantum algorithms to solve very hard problems
Research Methods in Education and Education Technology Prof Lili Saghafi Con...Professor Lili Saghafi
There are many different methodologies that can be used to conduct educational research.
The type of methodology selected by a researcher emanates directly from the research question that is being asked.
In addition, some of the differing techniques for conducting educational research reflect different paradigms in scientific thought.
Here a review of the most commonly used methodologies is presented the strengths and weaknesses of various methods are compared and contrasted.
Powerpoint Search Engine has collection of slides related to specific topics. Write the required keyword in the search box and it fetches you the related results.
Quantum cryptography by Girisha Shankar, Sr. Manager, CiscoVishnu Pendyala
Quantum computing is said to break the Internet by making the underlying encryption ineffective. This session, hosted by ICON@Cisco tells you how Quantum cryptography, which has the potential to protect the Internet, works.
Strengths and limitations of quantum computingVinayak Sharma
Quantum computing as a research field has been around for about 30 years. It seems like a way to overcome the challenges that classical (boolean based) computers are facing due to “quantum tunneling” effect. Although, there are various theoretical and practical challenges that are needed to be dealt with if we want quantum computes to perform better that classical computers (i.e achieving “quantum supremacy”). This seminar will aim to shed light on basics of quantum computing and its strengths and weaknesses.
Video Links
Part 1: https://www.youtube.com/watch?v=-WLD_HnUvy0
Part 2: https://www.youtube.com/watch?v=xXzUmpk8ztU
Automatski - RSA-2048 Cryptography Cracked using Shor's Algorithm on a Quantu...Aditya Yadav
Cracking RSA-2048 Cryptography using Shor's Algorithm on a Quantum Computer
We demonstrate live a Pure/Undiluted Implementation of Shor's Algorithm on a 100,000+ Qubit Quantum Computer Simulator by Automatski.
We have hence cracked RSA-2048 and all Existing Cryptography in The World
5 Reasons Why You Should Learn About Quantum Technologies.pptxRosaTarekAyyash
WOMANIUM Quantum Global Project 2023
Delve into the world of quantum technologies through the presentation '5 Reasons Why You Should Learn About Quantum Technologies.' This engaging exploration underscores the significance of understanding quantum technologies, shedding light on the transformative impact they promise to bring. By delving into these five compelling reasons, participants will gain insight into the relevance and potential of quantum technologies in shaping the future landscape of science, industry, and innovation.
This presentation is an approach towards vehicular communication, in respect of future robotics communication. I am using scalefree network minimization to predict next user or vehicle to be master in transferring data in dynamic scenario
Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of...e2wi67sy4816pahn
This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 pages, it covers many new topics, offering a fresh perspective on the subject. It is accessible to practitioners with a two-year college-level exposure to statistics and probability. The compact and tutorial style, featuring many applications (Blockchain, quantum algorithms, HPC, random number generation, cryptography, Fintech, web crawling, statistical testing) with numerous illustrations, is aimed at practitioners, researchers and executives in various quantitative fields.
New ideas, advanced topics, and state-of-the-art research are discussed in simple English, without using jargon or arcane theory. It unifies topics that are usually part of different fields (data science, operations research, dynamical systems, computer science, number theory, probability) broadening the knowledge and interest of the reader in ways that are not found in any other book. This short book contains a large amount of condensed material that would typically be covered in 500 pages in traditional publications. Thanks to cross-references and redundancy, the chapters can be read independently, in random order.
Streaming data presents new challenges for statistics and machine learning on extremely large data sets. Tools such as Apache Storm, a stream processing framework, can power range of data analytics but lack advanced statistical capabilities. These slides are from the Apache.con talk, which discussed developing streaming algorithms with the flexibility of both Storm and R, a statistical programming language.
At the talk I dicsussed issues of why and how to use Storm and R to develop streaming algorithms; in particular I focused on:
• Streaming algorithms
• Online machine learning algorithms
• Use cases showing how to process hundreds of millions of events a day in (near) real time
See: https://apacheconna2015.sched.org/event/09f5a1cc372860b008bce09e15a034c4#.VUf7wxOUd5o
Similar to Quantum Computers new Generation of Computers part 7 by prof lili saghafi Quantum Algorithm (20)
Artificial Intelligence and the importance of Data, By : Prof. Lili SaghafiProfessor Lili Saghafi
The biggest barrier to the deployment and adoption of artificial intelligence and machine learning is bad data quality. Data from alternative resources and unstructured data is becoming increasingly important but must be “refined” before their insights become truly valuable for use.
STEP1-Understanding and Modeling Organizational Systems
Big Data, BI , power of Analytic in software development
System Analyst role , in defining root problem or opportunity
Software’s Project Management , workload , activities , team , risks
STEP2-Determining Priorities and Feasibility
Software and Hardware Alternatives, based on Cost benefit Analysis for tangible and intangible cost and benefits. Payback, ROI,….
STEP3-Software Development Projects, Methodology , Data gathering, Modeling , Agile
We Define AI as anything that makes machines act more intelligently
We like to think of AI as augmented intelligence
We believe that AI should not attempt to replace human experts, but rather extend human capabilities and accomplish tasks that neither humans nor machines could do on their own.
The internet has given us access to more information, faster.
Distributed computing and IoT have led to massive amounts of data.
Social networking has encouraged most of that data to be unstructured.
With Augmented Intelligence, we are putting information that subject matter experts need at their fingertips, and backing it with evidence so they can make informed decisions.
We want experts to scale their capabilities and let the machines do the time-consuming work.
Software Engineering_Agile Software Development By: Professor Lili SaghafiProfessor Lili Saghafi
Software Development Models and their processes (Review)
Agile Software Development method
Agile development Characteristic, Principals , lifecycle, stages
Agile development techniques
How it works
Agile project management , Scrum
Scaling agile methods , issues , Problems , maintenance , solutions , advantages
Quantum Computing Quantum Internet 2020_unit 1 By: Prof. Lili SaghafiProfessor Lili Saghafi
The quantum internet is now in a similar stage as the classical internet in the 1960's.
In half a decade the internet gained a huge role in our daily life.
It is not a matter of science anymore: a large community has been and still is working on how we can use the internet in our daily communication.
Bringing a scientific concept from universities to society requires effort from academia and industry and now we see the first footsteps being made.
In 2020 it is aiming to have a small quantum node network, which might become the first quantum internet on earth.
A quantum internet enables us to send qubits from one node to another.
This allows us to create entanglement between any two points.
Entanglement is inherently private.
Programming Languages Categories / Programming Paradigm By: Prof. Lili Saghafi Professor Lili Saghafi
A programming language is a notation designed to connect instructions to a machine or a computer.
Programming languages are mainly used to control the performance of a machine or to express algorithms.
At present, thousands of programming languages have been implemented.
In the computer field, many languages need to be stated in an imperative form, while other programming languages utilize declarative form.
The program can be divided into two forms such as syntax and semantics.
Blockchain is a combination of technologies that have existed for a long time.
They're simply combined in a new and creative way to give us an amazing new platform on which we can start to build solutions.
Blockchains are often referred to as digital decentralized ledgers.
It is something we're all familiar with: a simple notebook.
When we talk about blocks and blockchain, all we're really talking about is a page of data.
There's a new technology that has the power to revolutionize how you, businesses, and the world interact!
Hearing the word "blockchain" is comparable to hearing the word "internet" in the early 90s.
more than 20 years later. Think about how the Internet has transformed businesses, commerce, communication, even music and video.
The next technology to have that kind of impact isn't some of the buzzwords you hear.It's not big data. It's not artificial intelligence. It's not even social media. It's BLOCKCHAIN!
Cyber Security and Post Quantum Cryptography By: Professor Lili SaghafiProfessor Lili Saghafi
Quantum computing has the potential to transform cybersecurity.
Some encryption algorithms are thought to be unbreakable, except by brute-force attacks.
Although brute-force attacks may be hard for classical computers, they would be easy for quantum computers making them susceptible to such attacks.
All financial institutions, government agencies healthcare information are in danger.
How could this new thrust of computing strength give us new tiers of power to analyze IT systems at a more granular level for security vulnerabilities and protect us through more complex layers of quantum cryptography?
Machine learning by using python lesson 3 Confusion Matrix By : Professor Lil...Professor Lili Saghafi
A confusion matrix is a matrix (table) that can be used to measure the performance of an machine learning algorithm, usually a supervised learning one.
Each row of the confusion matrix represents the instances of an actual class and each column represents the instances of a predicted class.
This is the way we keep it like this but it can be the other way around as well, i.e. rows for predicted classes and columns for actual classes.
Machine learning by using python lesson 2 Neural Networks By Professor Lili S...Professor Lili Saghafi
When we say "Neural Networks", we mean artificial Neural Networks (ANN). The idea of ANN is based on biological neural networks like the brain.
The basic structure of a neural network is the neuron. A neuron in biology consists of three major parts: the soma (cell body), the dendrites, and the axon.
The dendrites branch of from the soma in a tree-like way and getting thinner with every branch. They receive signals (impulses) from other neurons at synapses. The axon - there is always only one - also leaves the soma and usually tend to extend for longer distances than the dentrites. The axon is used for sending the output of the neuron to other neurons or better to the synapsis of other neurons.
Machine learning is the kind of programming which gives computers the capability to automatically learn from data without being explicitly programmed.
This means in other words that these programs change their behavior by learning from data.
In this course we will cover various aspects of machine learning
Of course, everything will be related to Python. So it is Machine Learning by using Python.
What is the best programming language for machine learning?
Python is clearly one of the top players!
k-nearest Neighbor Classifier
Neural networks
Neural Networks from Scratch in Python
Neural Network in Python using Numypy
Dropout Neural Networks
Neural Networks with Scikit
Machine Learning with Scikit and Python
Naive Bayes Classifier
Introduction into Text Classification using Naive Bayes and Python
Explain the term "digital humanities," and how it is understood across humanities disciplines.
Describe the research journey as a partnership between researcher and library collections and staff.
List examples of the limits of classification.
Describe the implicit and explicit hierarchies that are created when gathering and analyzing data.
Distinguish between what counts as data and what does not.
Identify different data formats and how they fit into a research workflow.
Effective Algorithm for n Fibonacci Number By: Professor Lili SaghafiProfessor Lili Saghafi
Understand the definition of the Fibonacci numbers.
Understand the definition of the Recursive / Recursive Functions
Show that the naive algorithm for computing them is slow.
Efficiently create algorithms to compute large Fibonacci numbers.
The right algorithm makes all the difference.
DOS / DDOS introduction
How Easy it is to get information
Real Life Examples MyDoom , GitHub , Dyn , Windows Server and Windows 10 servers running Internet Information Services (IIS) are vulnerable to denial of service (DOS) attacks
Base of Attacks
Types of DOS / DDOS
Attack Tools , LOIC, XOIC, Stacheldracht
DOS/DDOS Weaknesses
Category of OS/ DDOS
What to defend?
Botnets and Botnets mitigations
Michael Calce, a.k.a. MafiaBoy
Point of entrance / OSI Model ( If time permit)
What is the basis for the Data Science course and Data Scientist to know?
1-Algorithm
2-Data
3-Ask The Right Question
4-Predict an answer
5- Copy other people's work to do data science
In This Data Science course ( Graduate Program ) I will focus on understanding business intelligence systems and helping future managers use and understand analytics, Business Intelligence emphasizing the applications and implementations behind the concepts. a solid foundation of BI that is reinforced with hands-on practice. The course is also designed as an introduction to programming and statistics for students from many different majors. It teaches practical techniques that apply across many disciplines and also serves as the technical foundation for more advanced courses in data science, statistics, and computer science.
There are ten areas in Data Science which are a key part of a project, and you need to master those to be able to work as a Data Scientist in much big organization.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
5. Quantum algorithm
• A quantum algorithm is an algorithm which
runs on a realistic model of quantum
computation, the most commonly used model
being the quantum circuit model of
computation.
6. Classical (Or Non-quantum) Algorithm
• A classical (or non-quantum) algorithm is a
finite sequence of instructions, or a step-by-
step procedure for solving a problem, where
each step or instruction can be performed on
a classical computer.
7.
8. Quantum Algorithm
• a quantum algorithm is a step-by-step procedure,
where each of the steps can be performed on
a quantum computer.
• Although all classical algorithms can also be
performed on a quantum computer, the term
quantum algorithm is usually used for those
algorithms which seem inherently quantum, or
use some essential feature of quantum
computation such as quantum
superposition or quantum entanglement.
9. Quantum Algorithm
• All problems which can be solved on a
quantum computer can be solved on a
classical computer.
• Problems which are undecidable using
classical computers remain undecidable using
quantum computers.
• What makes quantum algorithms interesting
is that they might be able to solve some
problems faster than classical algorithms.
10. “Traveling Salesman Problem.”
• A classic example is the “Traveling Salesman
Problem.” Imagine a list of towns showing the
distances between each one.
• You’re a salesman trying to figure out the
shortest route to travel while still visiting every
town.
• The only way to do this with a personal computer
is to record the distance of every possible route
and then look for the shortest one.
11. “Traveling Salesman Problem.”
• Remember that quantum bits (Qubits) ,
however, can represent more than one things
simultaneously.
• This means that a Quantum Computer can try
out an insane number of routes at the same
time and return the shortest one to you in
seconds.
11
18. The Most Well Known Algorithms
• The most well known algorithms are Shor's
algorithm for factoring, and Grover's
algorithm for searching an unstructured
database or an unordered list.
20. • Shor's algorithms runs exponentially faster
than the best known classical algorithm for
factoring, the general number field sieve.
21. Shor-Traub algorithm
• the Shor-Traub algorithm is simply a more
efficient method for evaluating a polynomial.
• According to encyclopeadia.com it is said to allow
“computers to compute faster…” this is not
actually correct, it does not make a computer
compute ‘faster’ as this would suggest that
improvements have been made on a hardware
level, it’s simply a more efficient method of
performing the same calculation.
22. Shor-Traub algorithm
• The Shor-Traub algorithm along with that of a
method devised by Sarah Flannery which she
discusses in her book “In Code” is simply an
efficient method that can be used to discover
the prime numbers that make up the
public/private key used in ‘secure’ computer
communications and transactions called RSA
encryption (Rivest, Shamir and Adleman).
23. Shor’s Algorithm
• Shor’s Algorithm on a quantum computer.
• Shor’s Algorithm is a method for finding the
prime factors of numbers (which plays an
intrinsic role in cryptography)
24. public-key cryptography under attack
• "Every single security function out there is
using something called public-key
cryptography.
• It's a specific set of algorithms and they all
share one common property – they absolutely
spill their guts and fall apart under a quantum
computing attack, "Mr Snow, a technical director at
the US National Security Agency (NSA) for six years
24
25. B-Quantum Computers are good for
Data encryption
25
The factorization of a number into its constituent primes, also
called prime decomposition. Given a positive integer , the
prime factorization is written
26. RSA/ Ron Rivest, Adi
Shamir and Leonard Adleman
• RSA is one of the first practical public-key
cryptosystems and is widely used for secure data
transmission.
• In such a cryptosystem, the encryption key is
public and differs from the decryption key which
is kept secret.
• In RSA, this asymmetry is based on the practical
difficulty of factoring the product of two
large prime numbers, the factoring problem.
26
27. RSA
• RSA is made of the initial letters of the
surnames of Ron Rivest, Adi
Shamir and Leonard Adleman, who first
publicly described the algorithm in 1977.
• Clifford Cocks, an English mathematician, had
developed an equivalent system in 1973, but
it was not declassified until 1997.
27
28. RSA problem
• A user of RSA creates and then publishes a public key
based on the two large prime numbers, along with an
auxiliary value.
• The prime numbers must be kept secret.
• Anyone can use the public key to encrypt a message,
but with currently published methods, if the public key
is large enough, only someone with knowledge of the
prime numbers can feasibly decode the message.
• Breaking RSA encryption is known as the RSA problem;
whether it is as hard as the factoring problem, it
remains an open question.
28
31. Quantum Computers are good for
Data encryption
• Code are information in very large number
• 768 bite number ,RSA code broken in 2010, it
can take 3 years for Digital Computers
• 1024 bite code number it takes 3000 years for
Digital Computers, for Quantum Computers in
a minute
31
32. Quantum Computers are good for
DATA security
• It was once believed that Quantum Computers
could only solve problems that had underlying
mathematical structures, such as code
breaking.
• However, new algorithms have emerged that
could enable Quantum Machines to solve
problems in fields as diverse as weather
prediction, materials science and artificial
intelligence.
32
33. Quantum Computers are good for
DATA security
• the ability of Quantum Computers to process
massive amounts of data in a relatively short
amount of time makes them extremely
interesting to the scientific community.
33
34.
35. Shor's algorithm
• Given an integer N, find its prime factors.
• If a quantum computer with a sufficient number
of qubits could operate without succumbing
to noise and other quantum decoherence
phenomena, Shor's algorithm could be used to
break public-key cryptography schemes such as
the widely used RSA scheme.
• RSA is based on the assumption that factoring
large numbers is computationally intractable.
36. • this assumption is valid for classical (non-
quantum) computers; no classical
algorithm is known that can factor in
polynomial time.
• Shor's algorithm shows that factoring is
efficient on an ideal quantum computer,
so it may be feasible to defeat RSA by
constructing a large quantum computer.
Shor's Algorithm
37. Shor's Algorithm
• It was also a powerful motivator for the design and
construction of quantum computers and for the study of
new quantum computer algorithms.
• It has also facilitated research on new cryptosystems that
are secure from quantum computers, collectively
called post-quantum cryptography.
• In 2001, Shor's algorithm was demonstrated by a group at
IBM, who factored 15 into 3 × 5, using an NMR
implementation , Nuclear magnetic resonance quantum
computer of a quantum computer with 7 qubits
• Now in 2015 D-Wave introduced Quantum Computers with
1000 Qubits
38. Molecule of alanine used in NMR implementation of quantum computing. Qubits
are implemented by spin states of the black carbon atoms
40. Grover's Algorithm
• Grover's algorithm runs quadratically faster
than the best possible classical algorithm for
the same task.
41.
42. Grover's Algorithm
• Grover's algorithm is a quantum algorithm for
searching an unsorted database with N entries
in O(N1/2) time and using O(log N) storage
space (see big O notation).
• Lov Grover formulated it in 1996.
• In models of classical computation, searching
an unsorted database cannot be done in less
than linear time (so merely searching through
every item is optimal).
43. Grover's Algorithm
• Grover's algorithm illustrates that in the quantum
model searching can be done faster than this; in
fact its time complexity O(N1/2) is asymptotically
the fastest possible for searching an unsorted
database in the linear quantum model.
• It provides a quadratic speedup, unlike other
quantum algorithms, which may provide
exponential speedup over their classical
counterparts.
• Even quadratic speedup is considerable when N is
large.
44. Grover's Algorithm
• Unsorted search speeds of up to constant
time are achievable in the nonlinear quantum
model
• Like many quantum algorithms, Grover's
algorithm is probabilistic in the sense that it gives
the correct answer with high probability.
• The probability of failure can be decreased by
repeating the algorithm.
• (An example of a deterministic quantum
algorithm is the Deutsch-Jozsa algorithm, which
always produces the correct answer.)
46. Deutsch–Jozsa algorithm a
Deterministic Algorithm
• Although of little practical use, it is one of the
first examples of a quantum algorithm that is
exponentially faster than any possible
deterministic classical algorithm.
• It is also a deterministic algorithm, meaning
that it always produces an answer, and that
answer is always correct.
47. Deutsch–jozsa Algorithm
• The Deutsch–Jozsa algorithm is a quantum
algorithm, proposed by David
Deutsch and Richard Jozsa in 1992 with
improvements by Richard Cleve, Artur Ekert,
Chiara Macchiavello, and Michele Mosca in
1998.
50. Entanglement
• Another quantum property called “entanglement,”
which Einstein and others debated decades ago
• allows us to achieve tasks such as quantum
teleportation and squeezing two bits of classical
information into a single Qubit.
• Quantum teleportation allows a Qubit of information
to be transmitted over a distance (indeed, teleported)
by sending only two bits of classical information, and
has important applications in quantum communication
and building robust quantum computers.
51. Grover’s search algorithm
entanglement
• It is believed that one of the main factors
contributing to the efficiency of quantum
algorithms is the fact that, unlike their
classical counterparts, they can use
entanglement.
• It shows that in Grover’s search algorithm
entanglement is indeed created, and then
removed in order to reach the final state.
52. What Is Quantum Entanglement
• What happens to an object here can instantly
affect object over there and over there means
millions miles away
53. Quantum Entanglement
• When two sub-atomic particle interacts, they
can become entangled, means their spin,
position or other properties become linked to
a process unknown to modern science.
• If you then make a measurement of one other
particles , than that instantaneously
determine what the behaviour of other
particle should be.
54. Quantum Entanglement
• When the experiment is done it found that
indeed the other particle’s quantum state is
exactly determine once you made a
measurement of the partner particle’s
quantum state
• that means if scientist observes one entangle
particle and forces it to spin clockwise the
other entangled particle immediately start to
spinning in the opposite direction .
55. Quantum Entanglement
• If you separated the two entangled particle by
billions of light years, still the moment you
observe one particle’s spin , you dictated the
other particle’s spin
• it may suggest that information travelled
instantaneously faster than the speed of light
from one particle to another
• Quantum entanglement can help human to
communicate across vast distances .
65. ALGORITHMS
• One of the central open questions in the field
of quantum computing is the existence of
efficient quantum heuristic algorithms for
solving classically intractable instances of
combinatorial optimization problems that are
found at the core of many of NASA’s missions.
65
66. ALGORITHMS
• Classical heuristic algorithms have been
developed over the years to solve or approximate
solutions to practical instances of hard problems,
and the search for improved heuristics remains
an active research area.
• The efficacy of these approaches is generally
determined by running them on benchmark sets
of problem instances.
• Such empirical testing for quantum algorithms
requires the availability of quantum hardware.
67. ALGORITHMS
• As that hardware becomes available, NASA’s
QuAIL team will, beginning with the D-Wave
Two™ quantum-annealing machine, design
and evaluate quantum approaches to
challenging combinatorial optimization
problems.
• In 2015 D-Wave announced of 1000 Qubits
machine in work
67
68.
69. ALGORITHMS
• Initial efforts will focus on theoretical and
empirical analysis of quantum annealing
approaches to difficult optimization
problems.
• The team’s work includes the development of
quantum AI algorithms, problem
decomposition and hardware embedding
techniques, and quantum-classical hybrid
algorithms.
73. References, Images Credit• Internet and World Wide Web How To Program, 5/E , (Harvey & Paul) Deitel & Associates
• New Perspectives on the Internet: Comprehensive, 9th Edition Gary P. Schneider Quinnipiac University
• Web Development and Design Foundations with HTML5, 6/E, Terry Felke-Morris, Harper College
• SAP Market Place https://websmp102.sap-ag.de/HOME#wrapper
• Forbeshttp://www.forbes.com/sites/sap/2013/10/28/how-fashion-retailer-burberry-keeps-customers-coming-back-for-more/
• Youtube
• Professor Saghafi’s blog https://sites.google.com/site/professorlilisaghafi/
• TED Talks
• TEDXtalks
• http://www.slideshare.net/lsaghafi/
• Timo Elliot
• https://sites.google.com/site/psuircb/
• http://fortune.com/
• Theoretical Physicists John Preskill and Spiros Michalakis
• Institute for Quantum Computing https://uwaterloo.ca/institute-for-quantum-computing/
• quantum physics realisation Data-Burger, scientific advisor: J. Bobroff, with the support of : Univ. Paris Sud, SFP, Triangle de la Physique, PALM, Sciences à l'Ecole,
ICAM-I2CAM
• Max Planck Institute for Physics (MPP) http://www.mpg.de/institutes
• D-Wave Systems
• References
• Frank Wilczek. Physics in 100 Years. MIT-CTP-4654, URL = http://t.co/ezfHZdriUp
• William Benzon and David G. Hays. Computational Linguistics and the Humanist. Computers and the Humanities 10: 265 – 274, 1976. URL
=https://www.academia.edu/1334653/Computational_Linguistics_and_the_Humanist
• Stanislaw Ulam. Tribute to John von Neumann, 1903-1957. Bulletin of the American Mathematical Society. Vol64, No. 3, May 1958, pp. 1-49, URL = https://docs.google.com/file/d/0B-5-
JeCa2Z7hbWcxTGsyU09HSTg/edit?pli=1
• I have already discussed this sense of singualirty in a post on 3 Quarks Daily: Redefining the Coming Singularity – It’s not what you think, URL
= http://www.3quarksdaily.com/3quarksdaily/2014/10/evolving-to-the-future-the-web-of-culture.html
• David Hays and I discuss this in a paper where we set forth a number of such far-reaching singularities in cultural evolution: William Benzon and David G. Hays. The Evolution of
Cognition. Journal of Social and Biological Structures 13(4): 297-320, 1990, URL = https://www.academia.edu/243486/The_Evolution_of_Cognition
• Neurobiology of Language – Peter Hagoort on the future of linguistics, URL =http://www.mpi.nl/departments/neurobiology-of-language/news/linguistics-quo-vadis-an-outsider-
perspective
• See, for example: Alex Mesoudi, Cultural Evolution: How Darwinian Theory Can Explain Human Culture & Synthesize the Social Sciences, Chicago: 2011.
• Lewens, Tim, “Cultural Evolution”, The Stanford Encyclopedia of Philosophy (Spring 2013 Edition), Edward N. Zalta (ed.), URL
= http://plato.stanford.edu/archives/spr2013/entries/evolution-cultural/ Cultural evolution is a major interest of mine.
• Here’s a collection of publications and working papers, URL =https://independent.academia.edu/BillBenzon/Cultural-Evolution
• Helen Epstein. Music Talks: Conversations with Musicians. McGraw-Hill Book Company, 1987, p. 52.
• [discuss these ideas in more detail in Beethoven’s Anvil, Basic Books, 2001, pp. 47-68, 192-193, 206-210, 219-221, and in
• The Magic of the Bell: How Networks of Social Actors Create Cultural Beings, Working Paper, 2015, URL
=https://www.academia.edu/11767211/The_Magic_of_the_Bell_How_Networks_of_Social_Actors_Create_Cultural_Beings 73