As you can see, we are group 5 and we are working on quantum computing. So let me introduce you to our team. Here is our team. There are five of us and we have called ourselves nemo development, which is not in fact a reference to the disney pixar fish, but the original meaning of the word nemo. Now our specific interest, as you’ve seen, is in quantum computing. So let me try to give you a very brief rundown of what quantum computing is bearing in mind, of course, that it is a very complicated subject and we are not quantum mechanics students so it’s, just a very brief rundown, very simplistic, but hopefully it can help. You understand a little bit what we’re talking about so quantum computing is basically the future of computing. It may be the future of computing hand in hand with classical computing. Quantum computing is very fast and it can handle a lot of data very quickly. The reason for this is that quantum computing, instead of using bits which you know of a bit of data, is either a one or a zero on or off true or false. It uses quantum bits or q bits. As you can see, there spelled with a q, and qubits can also exist, not just in on or off binary positions, but also in quantum superpositions, which means that they can be in multiple positions. At one time, which i am not in a position to fully explain to you right now, but as you can guess, with more than two possible positions or states, more data can be handled and more processing can occur and the more qubits that you use.

Of course, this grows exponentially. So with this speed, one of the benefits of quantum computing is it’s very, very good at things like predictions and modeling, for example, predicting weather predicting weather patterns. Anything like that, where you’re going to use many many different data points of different types and put them all together, incorporate all of them to make a one single big, complicated prediction or model. Another benefit of quantum computing is security, because one of the qualities of qubits is that they change state when observed, and so if somewhere were to try to observe your data while it was being transferred in some way or i don’t know on your computer in some Way that data would change, and so they would not successfully steal your data and then be able to replicate it. However, with quantum computing, you have to bear in mind that it’s very, very sensitive to noise, any kind of interference because, of course, we’re operating at the subatomic level. However, it also releases heat so there’s a bit of an issue that is currently being worked on. As you know, keeping the system cool enough to function properly without error, while not introducing it to an environment that can introduce error and, as you may have heard, with companies like ibm where quantum computers do exist. One of the things you can do right now. You can’t get a quantum computer in your home, but you can get data processing from a quantum computer remotely because the issue isn’t data transfer, you can transfer your data to them by typical means.

But then you want the data processed at quantum speed and you can now do that remotely. So hopefully this gave you some sense of what’s going on and now i’m going to pass you over to murphat who’s, going to start introducing you to some of the specific topics within qc that we have chosen to look at for this project. Thank you, simon hello. This is mervat mustafa. This slide shows the three sub topics under quantum computing emerging technology, which we, as a group have chosen. These topics are as follows: a reverse order of preference, tobikon quantum machine learning topic, two, a quantum, suburban and topic, three, which we are interested in quantum chromatography i’m, going to give you a small introduction about the qml, which stands for quantum machine learning. Most of us have heard of ai and the quantum computing, but have you heard of the quantum machine learning in quantum machine learning is the intersection between quantum computing and ai. That is going to change what the future looks like individually. They are amazing, but together they are unstoppable. In simple words, a quantum machine learning is a field that aims to write quantum algorithm, to perform machine learning tasks. To describe that a little bit more. Let us examine this figure when data points are projected in higher and higher dimensions. It is hard for classical computers to deal with such a large competitions. Even if the classical computer can handle it, it would take too much time simply, but sometimes the classical machines learning algorithm are two taxing for classical computer likely.

Quantum computers have the computational power to handle this taxing algorithm that utilizes the utility powerful law like super positions and the intelligent to solve the problems faster than their classical concepts. As a figure shows. Qml performance is a lot more protective and efficient than cml classical machine learning. The qml quantum machine learning could depresses the quantum data which has eight possible state. It also caught the braces, the classical data after it is transformed to a qd d or the quantum data at this figure show. These are some of ml application. Machine learning application that qml quantum machine learning could improve and solve the problem of. In conclusion, we can say that a qml will solve more problem than we could ever imagine. Thank you for listening now. I will leave you with my partner. Thank you. Thank you merman. This is sean mcconnel, let’s, move on to qs or quantum supremacy. Now the idea here is, we have two competing technologies, we have classical computing and we have the emerging technology quantum computing and they are interracial with one another to basically just see. Protons faster tried and true technology is eventually going to be surpassed by quantum computing, and at that point we will have reached quantum supremacy, it’s defined as the point in time in which quantum computing can be accomplished in a way which outperforms classical computing by conceivable exponential Values now these exponential values are say a week versus 10 000 years.

Well, google set out to prove that they could do this with current quantum computing by developing a processor. This 54 cubic processor was used by google to process an algorithm in 200 seconds, and then they simulated that same algorithm on classical computing, and it would take 10 000 years, but does that really prove we’ve hit the point where one’s faster than the other? Based on the simulation ibm says, no ibm says we’re not quite there yet because they believe until we can perform tasks that are not even accomplishable by quantum computing versus classical computing. We haven’t hit that point because ibm says we can continuously add more hardware to the situation to accomplish tasks that classical computing versus quantum computing can accomplish. So google had a limitation on their experiment where they had a limitation of how much hardware can be used and how much ram would be used to perform their calculations based on what’s, currently available, ibm says. Well, we can always make more hardware, so we can always do more computations before we can eventually hit a point where we can accomplish the same this task, instead of in 10, 000 years we’ll. We can do it in two and a half days. Google can do it on a quantum computer in 200 seconds, so it’s arguable, whether we’ve actually hit that point or not, and the applications are here huge because once we’ve hit that point where we have reached quantum supremacy, we are doing things better and quantum computing and We can start to perform new tasks because it’s more efficient and more and less costly to do so and which leads us to our third topic, which is our preferred topic.

Quantum cryptography quantum cryptography is based on the idea that current cryptography is no longer valid. Now current cryptography uses mathematical equations that are more and more complex to create encryption keys, which need to be decoded on the other side. Now quantum cryptography aims to completely undo this model instead of using complex, math it’s, going to be monitoring states of qubits, which which is basically enabling the use of quantum mechanics to encrypt and transmit data in a way which cannot be hacked until it reaches its intended Destination – and that is going to be our preferred topic and i will pass things on to fajr who will delve deeper into the subject for us hi. As my group members have said, our topic of interest is quantum cryptography, but, most specifically, it is quantum cryptography and its future as a viable market. Our rationale for opting for this topic boils down to the need to get how much potential quantum cryptography has as a market and to understand how we might be able to take advantage of this market, as developers associate developers it’s, really not enough to design and create Applications that do what we’re made to do it’s, also important to take into account the security of our applications. According to this graph by markets and markets between the years 2020 and 2025, the market for quantum cryptography is projected is projected to grow from 89 million u.s dollars to 214 million us dollars. We take with the compound and our growth rate of 19.

1 percent. This is proof that the quantum revolution is speaking of speed and gatner predicts that 20 percent of organizations will begin budgeting for quantum computing projects by 2023. However, the potential security issues associated with quantum computing have motivated enterprises to begin preparing for its arrival. This is because many companies in many different different industries depend on the security of the data, as well as the data of their customers as a result of this investments in quantum cryptography, as well as the demand for knowledgeable and skilled professionals in the food of quantum Cryptography is likely to reach sky high levels. These companies be willing to pay as much as they can to as many people as they can in order to generate the supply to match this demand for security in a post quantum computing world. Our research will aim to define quantum cryptography in detail and in system how it works. The benefits of quantum cryptocryptography to us and to normal users. Existing early implementations of contract, crypto cryptography by people like back organizations like google, determine how much viable market quantum cryptography is and how much it will grow in the coming years. And finally, the challenges that have to be overcome before quantum cryptography becomes the mainstream markets and now i’ll leave it to my group to my partner summers to discuss our research targets, sources and references. Thank you, hello, i’m, thomas perro and i’ll begin with our sources. We will use publicly available research papers, technical blogs and videos.

This will help us understand quantum cryptography and how it encrypts and decrypts. This will also help us understand how quantum cryptography compares to classical cryptography in terms of encryption, security and decryption speed. We will use data available from cyber security firms. This will help with the depth and breadth of our problem, we’ll use releases and research from quantum cryptography developers. This will help understand how they are anticipating and tackling the problem. We will use releases from companies that possess large amounts of sensitive data. Hopefully we’ll get an insight of their awareness, their preparedness and how they’re working with quantum cryptography developers to come up with a solution. If at all next, we will look at research targets. Fellow students, exciting and important news about the future. Cyber security concerns us all. Existing organizations with encrypted data, including government agencies and the possible imminent risk all web developers common to require login. But how revealing is data once logged in? Could it reveal answers to security questions or other sensitive information? Cyber security firms warn clients about the risk, also have access to the solutions, quantum cryptography developers, a very important, very profitable use for quantum cryptography technology, and finally, we have our references. Finally, we would like to thank you for your listening and please feel free to ask us any questions. It will be our pleasure to answer you.