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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 to convince customers of the merits of adopting quantum technologies today, so as to benefit from the longer-term "Quantum Advantage" that will materialize within the next 5 - 10 years. 

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 wholistic 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.

 

We are also engaged in developing design methodologies for fault-tolerant quantum computing hardware.


 

 

Business Cases for Quantum Technology by Dark Star

       

 

 

Research 

Quantum processors/computers today are faulty and not fully quantum physical and are therefore referred to as Noisy Intermediate Scale Quantum computers (NISQ). Dark Star research work envisions the next generation of quantum computers to be fault-tolerant to a very high degree. This first requires identifying the exact number of fault-tolerant physical qubits into which abstract or logical qubits can be mapped. Our CEO answers this question here

 

 

 

Consultancy Engagements 

Dark Star is a consultant on quantum technology projects for industry leaders in the United Arab Emirates and Canada. 

Contact us for more details. 

Founders

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Faisal Shah Khan, PhD
Interim CEO

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Mathematician, Quantum Computer Scientist, and Game Theorist with over 15 years of international experience in academia & engaging industry stakeholders. 

Dr. Khan was among the pioneering group of scientists in the area of quantum logic synthesis using decomposition techniques, which are used in compilers and languages for quantum computers such as the IBM Q.

In the area of quantum game theory, Dr. Khan has identified the mathematical machinery needed to study the quantum game-theoretic equivalent of John Nash's Nobel prize winning result, equilibrium in non-cooperative games. This machinery is also fundamental to the design of fault-tolerant qubits.

 

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David D'Silva, BMath
Chief Operating Officer

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A teacher at heart, Dave has 20+ years experience as a transformation project manager and recruiter.

Dave is executing his University of Waterloo circular economy themed Industry 4.0  manufacturing program.
This three phase program applies AI + Blockchain + Quantum Physics inspired algorithms to achieve record breaking milestones in wealth* and manufacturing** management.

*A wealth management milestone is $6 trillion, stated by McKinsey & Co, who bought PriceMetrix, a firm Dave was hired to launch. 

**A manufacturing milestone programmatically coordinating 13.5K employees of Maple Leaf Foods network transformation to commission the Hamilton, Ontario super-plant $1B project via an Enterprise PMO Lean Six Sigma MS Project Server system, while risk mitigating $4B/y revenue.

Advisors

Advisors 

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Prof. Ernesto Damiani

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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

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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.

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Jianshu (Vera) Cui

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Vera is a social media and marketing specialist in Canada that brings entrepreneurship and innovation to the forefront of business development. Since creating her own ESL Brand in 2010, she has evolved brand strategies and training systems to enable management efficacy. With the mission to inspire business growth through unity and community, she advocates for women leadership across digital communities and media platforms in China, Canada, and the US.

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Capt. Jeffery Cole

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Captain Jeffery Cole has 30+ years of airline experience, 21,000+ flight hours on Boeing 737, 747, 777 and 787 aircraft. Captain Cole has extensive worldwide experience with international route networks. He is skilled in critical decision-making, analytics, aircraft route optimization, aircraft systems, flight planning, air traffic control, weather analysis, cockpit resource management, flight safety, security, crew utilization and scheduling."

Interns

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Nada Elsokkary

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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).

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Olga Okrut

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Olga holds a B.S. in Physics and is currently pursuing her second degree in Mathematics. She has been a part of a quantum computation start-up and multiple machine-learning bootcamps and has strong industry experience in quantum technologies and machine learning.​​ Aside from the technical side, Olga has participated in several business quantum start-up accelerators that allow her to have a broad perspective on product development from both the viewpoints of customers and engineers. She believes that quantum computation technologies will lay a strong foundation for the future of the software engineering industry.

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Keith Cannon

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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.

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Kareem El-safty

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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.

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