1. Hi, my name is Sai Javvadi, and I believe we can explore the boundaries of possibility with quantum computing and machine learning. 2. But in order to explore the possible, we must first ask ourselves, what do we think is impossible? Well, One of the very first things I thought of, and I’m sure a lot of other people, was predicting the future. I mean the very concept of it comes from science fiction culture. But with the progression of technology, specifically the advent of quantum computers, we get closer to accurate predictions every single day. So with that, let’s explore, the boundaries of possibility. 3. In order to that, we need to understand what quantum computing is. Just like how a normal computers uses 1s and 0s to compute and store information, quantum computers do that to. I learned that they also possess a particular feature called superposition, allowing them to represent both a 1 and a 0, which allows for processes to be speedened significantly. according to yehzen wang, a professor in statistics at the university of wisconsin, Machine learning algorithms can make highly accurate guesses, and those guesses get more accurate with training. Greater training data means more learning and higher accuracy and this is where quantum computing comes in. quantum computing could potentially make machine learning so accurate that, in a way, future events and action can be predicted. 4. from my research i gathered that superposition allows parallel operations that makes machine learning faster than ever. So i kind of see this unique trait like a checkbox, because instead of a radio button, you can select and hold multiple states simultaneously. 5. This difference is unimaginable. A conventional computer could break 2048 bit RSA encryption in 300 trillion years. a quantum computer could do the exact same task in a mere 10 seconds. 6. As of right now, quantum computers take tremendous resources to engineer, build, and program. For example, a current commercial quantum computer, the D-Wave 2000Q, costs $15 million. In addition, they are prone to noise and lack of quantum coherence, or the inability of a computer to maintain superposition. 7. i envision the future of quantum computing to be far more advanced. One critical aspect I see its evolution in is affordability. Although it may not seem possible now, as current quanting computing is a daunting task for many manufacturers, strides are already being made. SpinQ, a start-up based in Shenzhen, China is selling desk-sized quantum computers for $5000. Although this computer can only do so much independently as it only uses 2 qubits, it sets the stage for more advancements to come. 8. in addition, the effects of such an advancement for allow for unprecedent productivity. computatiins that would take hours or days could be complete with a blink of the eye. and so for mathematically intensive fields such as machine learning, processes such as cleaning data and recgonzing patterns could be completed with minimal effort. valeria saggio, a professor at the university of vienna and expert in quantum computing, describes machine learning and quantum computing as a “natural marriage”. 9. in conclusion, i believe that we can truly explore the boundaries of possibility with quanting computing and machine learning. The future can hold the ability for us to make highly accurate guesses with the use of machine learning and quantum computers. In addition, quantum computers may even one day become affordable for every day, household use, thereby sustaining unprecedent technology in a myriad of areas,