Defense Advanced Research Projects AgencyTagged Content List

Information or Signal Processing

Computational tools and techiques for manipulating, analyzing, and synthesizing signals and data

Showing 7 results for Processing + Quantum RSS
09/07/2017
DARPA published its Young Faculty Award (YFA) 2018 Research Announcement today, seeking proposals in 26 different topic areas—the largest number of YFA research areas ever solicited.
02/27/2019
Universal quantum computers with millions of quantum bits, or qubits – which can represent a one, a zero, or a coherent linear combination of one and zero – would revolutionize information processing for commercial and military applications. Realizing that vision, however, is still decades away. The problem is the performance and reliability of quantum devices depend on the length of time the underlying quantum states can remain coherent. If you wait long enough, interactions with the environment will make the state behave like a conventional classical system, removing any quantum advantage. Often, this coherence time is significantly short, which makes it difficult to perform any meaningful computations.
05/11/2020
DARPA has selected seven university and industry teams for the first phase of the Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program. Phase 1 of the program began in March and will last 18 months.
March 19, 2019, 9:00 AM ET,
Webcast or Executive Conference Center
The Defense Sciences Office is holding a Proposers Day meeting and webcast to provide information to potential proposers on the objectives of the new Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program and to facilitate teaming. The principal objective of the ONISQ program is to demonstrate quantitative advantage of Quantum Information Processing (QIP) over the best classical methods for solving combinatorial optimization problems using Noisy Intermediate-Scale Quantum (NISQ) devices. In addition, the program will identify families of problem instances in combinatorial optimization where QIP is likely to have the biggest impact.
Lasers have made a tremendous impact on our world – they are essential to diverse fields such as optical communications, remote sensing, manufacturing, and medicine. At the same time, photonic integrated circuits have allowed unprecedented advances in optical systems for Department of Defense (DoD) applications, including LiDAR, signal processing, chip-scale optical clocks, gyros, and data transmission. However, these two technologies today are limited by the incompatibility of the materials used to create them – silicon photonics are easy to manufacture but are poor light emitters while compound semiconductors enable efficient emitters but are difficult to scale for complex integrated circuits.