Quantum metrology: Quantum measurements involve highly accurate manipulation of particles to identify subtle changes in information. Quantum metrology could enable new types of radars, cameras, and other systems, which when applied in defense and national security use cases, might offer better ways to detect things like stealth aircrafts via quantum radar, or underground facilities via quantum gravimetry. It can also provide new types of location detection that does not depend on GPS signals--which can be easily tampered with. Cryptography: An essential aspect of cryptography is random number generation. To break it down: pseudo random number generators (PRNGs) and true random number generators (TRNGs).

We have all grown accustomed to seeing and using a contemporary computer. Each year, industry behemoths like Intel, AMD, ARM, and NVIDIA, release the next generation of their top-of-the-line silicon, locking horns, and pushing the envelope of the traditional computers that we know today. If we critically evaluate these multitudes of new multi-core CPUs, GPUs, and mammoth compute clusters hosted on the cloud, we will soon realize that faster processors do not necessarily result in increased computational power. Granted, the speed of computation has increased exponentially in the past decades, so has the amount of data we can handle and process. We can store and analyze exabytes of data on the internet, train deep learning models like OpenAI's GPT-3, and enable the computational intelligence needed to defeat champions and grandmasters at complex games like Go and Chess. But have all these technological advances expanded what we can fundamentally do with computers beyond where we started out with? Or simply put, have we changed our traditional model of computing? Modern computers operate according to the principle of a von Neumann architecture (Ogban et.al, 2007).

Ghosh will discuss the applications of quantum computing in the field of machine learning and electronic structure calculations in quantum chemistry.

The pace of improvement in quantum computing mirrors the fast advances made in AI and machine learning. It is normal to ask whether quantum technologies could boost learning algorithms: this field of inquiry is called quantum-improved machine learning. Quantum computers are gadgets that work dependent on principles from quantum physics. The computers that we at present use are constructed utilizing transistors and the information is stored as double 0 and 1. Quantum computers are manufactured utilizing subatomic particles called quantum bits, qubits for short, which can be in numerous states simultaneously.

Machine learning, the field of AI that allows Alexa and Siri to parse what you say and self-driving cars to safely drive down a city street, could benefit from quantum computer-derived speedups, say researchers. And if a technology incubator program in Toronto, Canada has its way, there may even be quantum machine learning startup companies launching in a few years too. Research in this hybrid field today concentrates on either using nascent quantum computers to speed up machine learning algorithms or, using conventional machine learning systems, to increase the power, durability, or effectiveness of quantum computer systems. An ultimate goal in the field is to do both -- use smaller quantum-computer-based machine learning systems to better improve, understand, or interpret large datasets of quantum information or the results of large-scale quantum computer calculations. This last goal will of course have to wait till large-scale quantum information storage and full-fledged quantum computers come online.

From Fiat Physics to Developing a Science Partnership Fund & from lecturing students to Consulting Corporate Executives on the impact of quantum computing, Mark has a very diverse background. Jackson recently organized the Dawn of Private Space Science symposium bringing together leading scientists, foundations, corporations, policy makers, and commercial space-lines under one roof to create opportunities for PRIVATE scientific research in space, not just from government.