Reports

The way we approach security for the electric grid must undergo a paradigm shift to neutralize emergent threats and manage a decentralized infrastructure that is becoming exponentially more complex.
This report provides findings on quantum network parameters developed by defining high-level components, input/output, and controls based upon examination of proposed abstractions from standards bodies and quantum network simulation packages.
This report provides findings on quantum network abstractions developed by defining high-level components, input/output, and controls based upon examination of proposed abstractions from standards bodies and quantum network simulation packages.
Combinatorial optimization is anticipated to be one of the primary use cases for quantum computation in the coming years. The Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing (QA) have the potential to demonstrate significant run-time performance benefits over current state-of-the-art solutions.
The electric sector is undergoing rapid change. As larger portions of the economy, such as transportation, are electrified and intermittent resources and new energy storage solutions are developed and incorporated into the electric grid, managing the system grows increasingly complex. Quantum computing can play a part in addressing the the changing requirements.
This brief identifies the top priorities from the 48 recommendations made in two other QED-C reports. Priorities were derived from member responses to a survey.
Quantum algorithms are the building blocks that run on top of the foundation of quantum computers.
Quantum sensing, the use of quantum systems to measure fields and forces, is a rapidly expanding field with broad applications, including for national security. One of the primary application areas for quantum sensors is in positioning, navigation, and timing (PNT), where devices including atomic clocks, quantum inertial sensors, atomic gravimeters, and quantum electromagnetic sensors may enable new capabilities for future PNT architectures, especially in GPS-denied or challenged environments.
This work introduces an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications.
Quantum computing (QC) is a technology with enormous potential, but for the moment, it is one only of potential. This report evaluates potential near-term QC applications as well as the prospect of using public-private partnerships (PPPs) to accelerate the time horizon for meaningful applications of quantum computing.

Quantum sensing use cases

Quantum sensors are devices that leverage the quantum properties of a system to measure forces, fields, or time.