Computing

Quantum information processing involves using and manipulating the quantum states within a system to simulate complex systems or store and process data as quantum bits (qubits) in a quantum computer (QC). Qubits can be in a superposition of multiple quantum states at the same time and they can be entangled together. Superposition and entanglement together can enable parallel processing at scale for certain classes of problems, e.g. complex system optimization, large molecule simulation, prime factorization, linear algebra, etc. Thus, QC could perform these calculations that are out of reach for even the world’s largest supercomputers.

The MQA is building the region’s world-class QC capabilities into a collaborative community that will help to accelerate innovation of quantum information processing software and hardware. On the software side, the community includes theorists who study fundamental aspects of quantum information, complexity theory, new methods to break through current limitations of QC, and application scientists who are developing algorithms and software for both future as well as current generation quantum computers. On the hardware side, this community includes leading providers of first-generation commercially available QC (known as “Noisy Intermediate Scale Quantum” or NISQ systems) and experimental researchers who are developing novel platforms for quantum information processing and computing. The MQA’s experimental expertise runs the gamut of QC platform technologies, including:

• Superconducting,
• Trapped Ion,
• Neutral Atom,
• Photonic,
• Topological, and
• Analog simulators.