QCi's Chief Executive Officer, Dr. William McGann, provides an in-depth look at QCi's strategic progress and positive changes over the past six months. Read an excerpt from his mid-year business update below:
"Having been the CEO at Quantum Computing Inc. (QCi) since February, I believe it is important to share our progress and some of the changes that we have implemented over the past six months. Our objective is to unlock the true value of QCi’s technology and to maintain the passionate focus of the business team. I am increasingly enthusiastic about QCi’s opportunity to disrupt the high-performance computing market with technology advantages that are available in our products today. We are driving a robust technology platform development program that will leverage new optical integrated circuits that should dramatically improve the speed and reduce the energy consumption of our products.
It is our firm belief that this will enable us to compete in the high-performance computing and artificial intelligence/machine learning (AI/ML) market segments given their ever-increasing demand for speed and energy efficiency. We are focused on creating an early mover advantage in some of the fastest growing market segments in technology today, including high-performance computing, AI/ML, and remote sensing. I am excited to share our team’s increasing confidence that our strategy will provide sustainable growth and establish us as a true leader in the emerging markets that will demand quantum technology."
Entropy Computing: A Paradigm for Optimization in an Open Quantum System
This month, QCi announced its latest paper “Entropy Computing: A Paradigm for Optimization in an Open Quantum System," where the QCi team uses Dirac-3 to experimentally demonstrate the successful solving of non-convex and combinatorial optimization problems.
Dirac-3 found the ground state more often than classical gradient descent on a non-convex optimization problem with constraint, and also out-performs semi-definite programming in solution quality on Ising and standard Potts problems. One of the key strengths of the proposed entropy computing machine is its flexibility in encoding, allowing it to handle continuous and integer variables, which can be applied to use cases such as portfolio optimization, resource allocation problems, network flow problems, and machine learning tasks.
QCi Attends and Speaks at This Year's Optica Quantum 2.0 Conference & Exhibition
QCi’s Scientific Advisor, Dr. Mohammad-Ali Miri, had the opportunity to share insights about the company’s novel computing paradigm – entropy computing – and demonstrate the efficiency of this computing paradigm within a hybrid quantum optimization machine. This proposed entropy computing paradigm puts forward a scalable and versatile platform for tackling a large range of NP-hard optimization problems.
On July 31, QCi was proud to host the first of a series of company webinars. QCi Quantum Technology Lead, Dr. Lac Nguyen, PhD and Scientific Advisor and Professor of Physics, Dr. Mohammad-Ali Miri presented on the topic of entropy computing and discussed accessible quantum optimization machines for non-convex and combinatorial problems.
During this informative session, QCi examined the company’s findings from its latest publication and experiments, including:
Principles of operation
Advantages of QCi’s approach
Current performance
Future capabilities
Missed the webinar? Listen to the full discussion here.
[Passcode: qciwebinar1!]
QCi Newsroom
Quantum Computing Inc. Appoints Dr. Javad Shabani To The Board Of Directors
QCi announced the appointment of Dr. Javad Shabani to its Board of Directors. Currently serving as an Associate Professor of Physics and the Director of the Center for Quantum Information Physics at New York University (NYU), Dr. Shabani is a world-recognized expert in quantum computing technologies, with over 85 published papers and numerous invited speaker engagements. Dr. Shabani’s appointment to the board is strategic for both QCi’s advanced technology and materials roadmap as well as its current product commercialization efforts.
Quantum Computing Inc. Secures Order For Revolutionary Underwater LiDAR Prototype
QCi revealed the successful sale of its quantum LiDAR prototype to Johns Hopkins University. Valued at $200,000, the prototype marks a significant advancement in underwater LiDAR technology and will be utilized for testing and evaluation within Johns Hopkins' esteemed research and development program.
"We are thrilled to receive this order and are honored to fulfill it with the delivery of our new LiDAR-based remote sensing system to Johns Hopkins researchers," stated Dr. Bill McGann, Chief Executive Officer at QCi. “Together, these advanced capabilities will equip researchers and policymakers with the detailed data needed for comprehensive environmental management and protection strategies, aligning with QCi's mission of delivering practical and affordable quantum technologies for the world."
All QCi technologies are created with nanophotonics, enabling diverse but unified capabilities. Learn more about how these groundbreaking techniques will be changing the world of computing, communications, and more.
Visit QCi's Resource Libraryto explore tutorials and use cases, dive deeper into quantum concepts, read featured publications, and view our latest product starter kits.
Read QCi's latest lessons highlighted this month here.
Quantum Computing, Inc., 5 Marine View Plaza, Suite 214, Hoboken, NJ 07030, USA
