Understanding Algorithmic Qubits (#AQ)
A benchmark that measures what matters most: a system’s ability to successfully run your target quantum workloadsTalk To An Expert
Quantum Computers Are Complex, Predicting Their Value Doesn't Have To Be
#AQ is an application based benchmark, which aggregates performance across 6 widely known quantum algorithms that are relevant to the most promising near term quantum use cases: Optimization, Quantum Simulation and Quantum Machine Learning.
These Near Term Quantum Use Cases are widely Applicable to Multiple Industry Verticals*
Putting #AQ Into Practice
A Single Metric, A Wealth Of Information
A computer's #AQ can reveal how the system will perform against the workloads that are the most valuable to you. #AQ is a summary and analysis of multiple quantum algorithms. Here is what IonQ Aria's #AQ means, from a practical lens.
- 6 instances of the most valuable quantum algorithms were run on IonQ Aria
- #AQ Algorithms of up to ~600 entangling gates were run successfully
- #AQ Algorithms were successfully run on up to 25 qubits
- Algorithm results were deemed successful if they acheived over 37% Worst Case results fidelity
Predicting Performance Against Your Intended Workloads
All of the information behind the #AQ benchmark can be summarized in a single chart, that provides insight into how a system performs for a particular class of algorithms. By identifying the algorithmic classes you intend to use the system for, you can make a direct prediction about the performance of an algorithm with a specific gate width and gate depth.