We Are Quantum
100X ROI Quantum Technology R&D Roadmap
Quantum technologies are devices that utilize quantum physical features of entanglement and true randomness to produce advantages that conventional technologies cannot. Today, quantum technologies are commercially available in the form of
Quantum computers: Information processors that provide computational speedup and optimized performance
Quantum Random Number Generators (QRNG): Network devices that can add a layer of true randomness and provable security to cybersecurity infrastructure
Dark Star Quantum Lab Inc. matches industrial problems with the right quantum technology solutions, offering customers "Quantum of Advantage", a small but meaningful business advantage in the form of revenue and project management governance by way of cost reduction, bottleneck mitigation, and simplification.
We offer expertise in formatting industry problems for execution on quantum computers 1.0 and advice on best practices in adopting and integrating quantum computing technology into enterprise. As early adopters of quantum computing technology, our clients benefit from incremental advantage while becoming ready to reap the benefits of “Quantum Advantage” when it manifests 5-10 years from now.
Development Roadmap - Deploying “killer apps” of Quantum Tech 1.0
Dark Star is working on two proof of concepts (POC) to produce minimal viable products (MVP):
1. SQedule™ - Solving supply chain (scheduling) problems in industrial logistics, fleet (seaport and airport), and traffic management (Belt and Road initiative).
2. SeQure™ - Personal QRNG security devices, "quantum tokens" (digital tokens created from a QRNG source), and "quantum portal" for quantum secured cloud access to commercial quantum computers.
SQedule and SeQure work together to give the customer a holistic experience in quantum computing and quantum security technologies.
Dark Star is developing additional examples of SQedule for
a) Epidemiology - Quantum software toolkit for epidemiological modeling and data analytics
b) Finance - High-frequency trading on the quantum cloud.
c) Multi-objective optimization - Calculating Nash equilibrium on quantum annealers
We are also engaged in developing design methodologies for fault-tolerant quantum computing hardware.
Dark Star in the Media and Publications
Dark Star offers consulting service to businesses looking to understand how quantum computing can help them gain a quantum of advantage. We have been consultants on quantum technology projects for industry leaders in the United Arab Emirates and North America.
Contact us for more details.
Faisal Shah Khan, PhD
Dr. Khan is among the pioneering group of scientists who have developed quantum logic circuit design methods that are used in compilers and languages for quantum computers. He has international outreach, for example, having pioneered the development of quantum-enhanced cybersecurity infrastructure at the Center on Cyber-Physical Systems of Khalifa University, Abu Dhabi.
Dr. Khan is an expert in identifying and developing industry applications of first-generation quantum computers in supply chain and logistics, epidemiology, financial portfolio optimization, and high-frequency trading.
Dr. Khan is an External Professor with the Raleigh campus of the French SKEMA Business School, where he teaches artificial intelligence, finance, math, and physics, and serves as the faculty advisor to the Data Science & Quantum AI student club.
Prof. Ernesto Damiani
Prof. Damiani is Sr. Director of the Robotics and Intelligent Systems Institute and Centre on Cyber-Physical Systems, Khalifa University, Abu Dhabi, United Arab Emirates, and Professor of Electrical Engineering and computer science at the University of Milan, Italy, where he leads the Secure Service-oriented Architectures Research (SESAR) Lab.
His research spans security, Big Data and knowledge processing, where he has published over 400 peer-reviewed articles and books. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a Distinguished Scientist of Association for Computing Machinery (ACM).
Since 2018, he is the President of the Italian Inter-University Consortium for Informatics (CINI). The CINI Consortium involves 1,500+ professors and researchers of Computer Science and Computer Engineering belonging to 47 Universities.
Dr. Ahmed Al Hammadi
Dr. Alhmmadi is Director of a Strategy Affairs Office in Abu Dhabi, United Arab Emirates. His expertise is in Machine Learning and Artificial Intelligence, and he has over 10 years of experience in strategic planning and implementation of organizational vision, mission and objectives.
Dr. Alhammadi has played an active leadership role in restructuring of the educational system in Abu Dhabi and the migration of main functions between two organizations, namely, the Department of Education and Knowledge and the Ministry of Education.
Nada is a computer scientist with an applied mathematics and artificial intelligence background. She holds the distinction of being the Middle East's first user of D-wave's Quantum annealer for financial portfolio optimization (published paper).
Olga is a Quantum Computing Scientist with 5+ years of experience working in the fast-changing start-up environments. Olga possesses a unique combination of the academic studies of Laser Physics and Spectroscopy, an eager experience in software engineering through coding bootcamps and hackathons, and academic study of mathematics. Aside from her postsecondary training, Olga has been a part of several business quantum start-up accelerators that broaden her perspective on product development from the viewpoints of customers and engineers. This set of skills and knowledge builds a strong foundation for her further professional development and leadership in the industry. She believes that quantum computation technologies will change the world in the same way a digital revolution has been changing our lives since the mid 20th century.
Keith holds a Bachelor’s in Mathematics and Computer Science and a Master’s in Philosophy from the London School of Economics. Currently, he works for a financial software company in London and is working toward a second Master’s in quantum technologies and materials modelling. Motivated by big ideas and positive social impact, he aspires to become a key product and business strategy leader in quantum-forward and other deep-tech companies.
Kareem is a quantum machine learning researcher with a unique interdisciplinary scientific background. He has a B.Sc in Communications & Electronics Engineering alongside an interesting record of online courses in machine learning, physics, and programming. He has around 4 years of experience in Computer and Machine Vision systems at DevisionX and two years of experience in being a machine learning instructor.
Alongside his machine learning career, he taught himself about quantum computing and managed to become a researcher at the Alexandria Quantum Computing group. Then he became a Qiskit Advocate. After that, he earned a position as a research assistant at Wigner Research Centre for Physics to focus on Photonic Quantum Computation.