The Azure Quantum Resource Estimatorĭesigned specifically for post-NISQ, fault-tolerant quantum systems, the Resource Estimator allows you to assess architectural decisions, compare qubit technologies, and determine the resources needed to execute a given quantum algorithm. Understanding these requirements will allow you to prepare and refine quantum solutions to run on future, scaled quantum machines. The Resource Estimator will help you understand how many qubits are needed to run an application, how long it will take to run, and which qubit technologies are better suited to solving a specific problem. Using the Resource Estimator, you can understand the impact of architectural design choices and quantum error correction schemes.
QEC is both time and space intensive, requiring increased execution time for algorithm or logical-level operations, as well as additional physical qubits to store and compute information. Commercial and scientific viability will also require quantum error correction (QEC) schemes to achieve fault tolerance. Why is resource estimation important in the development of quantum computing?Īlthough quantum computers promise to solve important scientific and commercial problems, achieving commercial viability will require large-scale, fault-tolerant quantum computers that have both a large number of qubits in superposition and physical error rates below a certain threshold. By incorporating the Resource Estimator in your development workflow and continuously evaluating your quantum program, you can understand how implementation changes to the program impact resource consumption. The Azure Quantum Resource Estimator allows you to understand the resources required to run a particular algorithm.
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