Joe Altepeter, a program manager in DARPA’s Defense Sciences Office (DSO): Of the 10 smartest physicists I know, about half of them are convinced that quantum computers are going to totally revolutionize computing in the 21st century and be a revolutionary way to solve problems from material science, to chemistry, to mathematics, to optimization.
Rigetti Computing has been selected by the Defense Advanced Research Projects Agency (DARPA) to develop benchmarks for quantum application performance on large-scale quantum computers.
The DARPA project — Optimization with Noisy Intermediate-Scale Quantum devices — aims to “demonstrate the quantitative advantage of quantum information processing by leapfrogging the performance of classical-only systems in solving optimization challenges…”
FAST Labs to advance quantum technology and revolutionize radio frequency (RF) sensing by breaking constraints to antenna designs that have persisted for more than a century.
Department of Defense (DOD) must solve many complex optimization problems to enable mission capabilities – from determining the most efficient way to distribute supplies to minimizing warfighters’ exposure to hostile forces. Solving these intricate scenarios is difficult, largely owing to the limitations of existing computing resources. Today, many optimization problems are solved on conventional computers running both heuristic and approximate algorithms, extracting the best solutions allowed by the limited time and energy that is available. Many believe quantum computing could be the answer. While there are potential advantages to quantum information processing, there is not enough supporting evidence to show that a quantum solution would be suitable for the size, weight, and power limits of many DOD mission-relevant applications.
The U.S. Defense Advanced Research Projects Agency (DARPA) Defense Services Office (DSO) recently released a request for information (RFI), DARPA-SN-18-68, “Quantum Computing Applications with State
