IonQ Aria
Available Since 2022
A powerful and versatile quantum computer. Available on the IonQ Quantum Cloud and select public clouds.
Visualization: Aria’s all-to-all connectivity graphIonQ QPUs are fully connected. The 25 points on the perimeter of the image represent Aria’s 25 qubits. The lines represent the 300 potential entangling gates that can be run across those qubits.
Tackle Larger Problem Sizes
With an #AQ of 25, a higher qubit count, and our best gate fidelities, IonQ Aria enables bigger, more complex problems to be explored.
Learn MoreGet Results with Fewer Iterations
IonQ Aria’s higher #AQ of 25 means less noise in the quantum system. With less noise, even the most complex problems take fewer iterations, saving valuable time and money.
Learn MoreMove Closer to Quantum Advantage
IonQ Aria’s industry leading performance helps organizations stay on the bleeding edge of quantum technology and build hybrid solutions improving business results.
Learn MoreWhy Trapped Ion Technology?
Aria represents several advancements in fidelity and #AQ performance over previous trapped ion systems. Beyond Aria, IonQ’s technical roadmap aims to deliver the full suite of trapped ion advantages below.
Highest Gate Fidelity
Ion qubits have achieved the lowest gate error rate of any quantum technology.
All-To-All Connectivity
Any qubit in the system can be directly entangled with any other qubit.
Fully Software Configurable
IonQ’s trapped ion architecture can be configured to meet various computational demands.
Longest Coherence Times
Ion qubits have achieved the longest coherence times of any quantum technology.
Clear Path to Error Correction
We believe trapped ions will require fewer total qubits for error correction compared to other quantum.
Explore Aria's Unique System Architecture
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Aria Specifications
#AQ 25
With Configurable Error Mitigation
#AQ measures the usefulness of a quantum computer. For example, with Aria’s configurable error mitigation, #AQ 25 would mean you could successfully run quantum algorithms of ~600 entangling gates on up to 25 qubits.
Learn more about Aria performanceLearn more about AQ
The above figure shows the measurement results for the various industry used benchmark algorithms on IonQ Aria
25
#AQ
With Configurable Error Mitigation Algorithmic Qubits (#AQ) is a summary metric that counts the number of algorithmically “useful” qubits in a quantum system. Aria defaults to running jobs with error mitigation, which drives a higher #AQ. However, customers have the option to turn off error mitigation, if desired.25
Qubit Count The number of physical qubits in the system. The closer #AQ is to qubit count, the higher quality the qubits in the system.
0.06%
1-Qubit Gate Error This characterization of 1Q gate infidelity is the 1Q randomized benchmarking error rate, as measured by Clifford Randomized Benchmarking and described in this paper. Although we do not expect a significant discrepancy, for consistency with 2Q benchmarking, IonQ is beta testing using direct randomized benchmarking to measure 1Q error rate.
0.6%
2-Qubit Gate Error This characterization of Aria 2Q gates was collected using a concatenated Mølmer-Sørenson gate technique described in this paper. IonQ is beta testing reporting 2Q randomized benchmarking error rates obtained via Direct Randomized Benchmarking. This will provide more accurate characterization, be easily reproducible by customers, and be capable of scaling as our systems get larger. Developers can pull the latest DRB snapshot for Aria using our API.
0.39%
SPAM Error The average error introduced during state preparation and measurement. Aria’s SPAM error is about thirty-nine parts in ten thousand (0.39%), and our new Barium system can do about four in ten thousand. More on SPAM and Barium
10–100s, ~1s
T1 & T2 Time Two factors of the amount of time a qubit “stays a qubit,” T1 measures how long you can tell what’s a one vs a zero, and T2 measures phase coherence.
Not Sure How to Get Started?
IonQ’s Applications Team Can Help.
The IonQ Application Team can support you on your Aria journey. Quantum scientists can help you identify, test, and build quantum solutions for your business.
IonQ and GE Research Demonstrated High Potential of Quantum Computing for Risk Aggregation
Key Results:
Trained financial risk model with 3 and 4 variables - based on historical stock indexes which exponentially increases problem size area that can be run on Aria
Created an innovative form of optimization called annealing training
In some cases our quantum predictions outperformed classical modeling approaches
“The early results we achieved in the financial use case with IonQ shows the high potential of quantum computing to better understand and reduce the risks associated with these types of highly variable scenarios.”
Read GE Research Case StudyIonQ and Hyundai Expand Partnership To Use Quantum Computing To Develop Mobilities of the Future
Key Objectives:
Apply quantum machine learning to image classification and 3D object detection
Apply IonQ’s machine learning data to Hyundai’s test environment
Simulate various real-world scenarios
“From partnering on battery research for electric vehicles to image classification and object detection research for automated driving, we expect to see quantum computers become an even more integral part in developing novel mobility solutions.”
Read Hyundai Case StudyStart running jobs on IonQ Aria and leverage the most flexible quantum cloud available today
Flexible Access Options
Application Support
Use Any Major SDK
Circuit Optimization Built In
Explore Quantum Cloud
Harness the power of IonQ Quantum Systems from the cloud.
Application Support
Consulting services from IonQ's quantum scientists and application developers.
Learn About #AQ
A benchmark that measures what matters most: a system's value to your organization.