Quantum Computing offers advances and the promise for solutions in nearly every industry. Unfathomably large, too large to calculate, problems will soon be solvable exponentially faster. We’re sure that the unique advantages offered by this computing paradigm can revolutionize the way problems are understood and want to be a part of the massive advancements this technology will bring to the world.
We have assembled a world-class team of experts with over a century of experience in supercomputing and security. Our initial focus is on the creation of Quantum Finance applications.
Quantum Computing Revolution
Despite the advances classical computers have brought to fields such as materials sciences, chemistry, finance, and artificial intelligence, there exist problems that are so large and complex that we will never have enough classical computing power to solve them.
These problems are complex in nature, and complex problems, especially in the sciences, tend to be quantum systems. Which is to say, nature is quantum mechanical. We think it’s fair to say that only quantum can solve quantum problems.
As quantum computers scale up in size, they offer the opportunity to solve these currently intractable problems.
Quantum Computers in-use.
Quantum computers are faster for certain types of calculations that require computational parallelism. The improvement is not the speed of operations, but rather the total number of operations that must be performed per unit time to arrive at the result.
Quantum computers can be used to solve NP-complete problems that cannot be solved in polynomial time with any conventional algorithm. An example of an NP-complete problem is the travelling salesman problem, a graph theory problem requiring the calculation of the most efficient route a salesman can take through each of (n) cities.
There’s a number of problems that finance that could be better solved with quantum computing. Problems like regression analysis, risk simulation, market collapse modeling, portfolio optimization, derivatives pricing, credit scoring, the list is endless.
Not only can quantum do it better, it can do it faster. Currently, QCI is developing an asset allocation system with algorithms that will run on quantum and digital annealers. We believe it’s possible to use this technology to construct optimal portfolios orders of magnitude faster than classical computers can.
Big Data -
In 2016, Northeastern University stated that globally, we create 2.5 exabytes, or 2.5 quintillion bytes of data every single day. Realistically, we probably create much more data now than we did in 2016, but to put 2.5 exabytes in perspective, it’s equivalent to 250,000 times the entirety of the Libraries of Congress. This virtual flood of data from laptops, computers, phones, and other technology has created the advent of Big Data, unfathomably large data sets on everything from how many people like to wear red polo shirts on a sunny day to what they’re likely to eat after a hard session at the gym.
The problem is that we now have so much data that it’s hard to find out what to do with it. Analysis on a higher level is nearly impossible due to just how much information is contained. It’s an ideal problem for quantum computing, which can handle massive data sets with ease, providing insights to artificial intelligence which can then analyze it further.
Artificial Intelligence -
At the core of most, if not all, advanced artificial intelligence or machine learning systems is optimization problems. Machine learning is an incredibly iterative process, and utilizes huge data sets to learn and evolve to figure out improved approaches to the problem at hand. Novel quantum algorithms could dramatically accelerate the underlying processing required for machine learning.
The strange, nearly metaphysical nature that governs how qubits operate in quantum computing, not only hold the key for better and faster artificial intelligence, but may also be the secret to true artificial intelligence.
Chief Executive Officer
Mr. Liscouski is a security industry leader with more than 35 years of experience serving as a senior government official and public company executive. In 2003, he was appointed by President Bush as the first Assistant Secretary for Infrastructure Protection at the Department of Homeland Security. Mr. Liscouski joined Quantum Computing from Implant Sciences, where he served as President and spearheaded a $118 million cash takeout. Mr. Liscouski is a frequent expert on Homeland Security and Cyber Security to CNBC, CNN, Fox News, and other media platforms. He holds a Masters of Public Administrations from Harvard University.
Chief Financial Officer
Mr. Roberts brings more than 30 years of experience in public and private corporate finance and government contracting to Quantum Computing. He has served as the President & CFO of Systems Made Simple (now a subsidiary of Leidos), Integral Systems (now a subsidiary of Kratos) and Pearson Analytic Solutions (now a subsidiary of General Dynamics). Mr. Roberts is an expert with financial experience in accounting, financial reporting as well as M&A integration. Mr. Roberts has a law degree from the University of Virginia Law School and a B.S. in Electrical Engineering and an M.B.A., both from the Massachusetts Institute of Technology.
Chief Technology Officer
Mr. Booth is a leader in technology ventures, specializing in identifying the commercial potential of emerging technologies and developing a strategy to bring them to market through strategic development of applications. Mr. Booth served as VP of Applications and Software at Cray Research and Silicon Graphics Inc, leading application development for Supercomputers and high-performance computing. Most recently, he served on the Customer Applications division at D-Wave Systems, where he developed qbSolv and benchmarking algorithms for Quantum Computers.
VP – Product Development
Mr. Reinhardt is a leader in developing products for cutting-edge computing technology with large market potential. Mr. Reinhardt previously served as the Project Director of the Cray T3E at Cray Research, the first production distributed-memory supercomputer which brought in over $700 Million in revenue. He also served as Director of Engineering at Silicon Graphics Inc, leading the development of Altix, a scalable shared-memory Linux-based system which delivered over $600 Million in revenue. Most recently, Mr. Reinhardt was Director of Software Tools and later Director of Customer Applications at D-Wave Systems, leading teams that developed tools such as qbsolv and worked with customers to map problems for effective execution on D-Wave’s quantum-annealing-based quantum computer.