QApps: Quantum Applications, Simulations and Algorithms

Stylized image of binary arranged in a black hole

The best way to accelerate progress in quantum information processing is to co-design devices to applications.  In these early stages of quantum computing and simulation, it is critical to optimize operations to solve a particular problem.  Only by running different types of quantum applications are we able to best design the next generation quantum computers and simulators.

Our trapped ion quantum computers have the key advantage of flexible and reconfigurable programming. First, our qubits are perfectly replicable and have no observable idle decoherence; second we can load any number of qubits needed; and third the interactions behind the computations and simulations are reconfigurable in software because they are mediated by laser beams. From a high level, our gates and simulation interactions are fully connected and highly expressive, making them highly efficient for executing circuits, simulations, and algorithms.

DQC quantum computers and quantum simulators are used to tackle problems in many areas of science — from condensed matter physics and molecular modeling to nuclear structure, high energy physics and cosmology.  We have many collaborators across the world from universities, national laboratories, and industry, all interested in running certain applications on our hardware.

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