IonQ Aria
Available Since 2022
A powerful and versatile quantum computer. Available on the IonQ Quantum Cloud and select public clouds.
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Why Trapped
Ion Technology?
By adding full software configurability, Forte represents a major advancement over previous trapped ion systems. Beyond Forte, IonQ’s technical roadmap aims to deliver the full suite of trapped ion advantages below.
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Highest Gate Fidelity
Ion qubits have achieved the lowest gate error rate of any quantum technology.
Ion qubits are identical and naturally quantum. When isolated from the environment around them, ion qubits can be manipulated with a high degree of accuracy. Since qubit gate operation error compounds through the depth of a quantum algorithm, even small errors can make results unusable. We believe that trapped ions are the best way to produce the high-quality qubits needed to build fault tolerant quantum computers.
All-To-All Connectivity
Any qubit in the system can be directly entangled with any other qubit.
Thanks to all-to-all connectivity, IonQ’s trapped ion architecture offers unparalleled flexibility in algorithm design. Unlike the limited connectivity commonly found in superconducting architectures, trapped ion systems enable more accurate and more efficient circuits, improving algorithmic results.
Fully Software Configurable
IonQ’s trapped ion architecture can be configured to meet various computational demands.
Unlike other quantum technologies, trapped ion hardware is not limited by wiring or static qubit topology. Since our qubits are ions floating in space, the qubit structure, as well as the addressable control lasers, can be configured through IonQ’s proprietary control software. This control results in a system that can dynamically scale up or down based on customers needs.
Longest Coherence Times
Ion qubits have achieved the longest coherence times of any quantum technology.
Synthetic qubits, like superconducting loops, are fragile and only remain in their quantum state for a fraction of a second. Ions are naturally quantum and as a result, when left alone, remain in quantum states. This leads to longer coherence times and improved algorithm execution for longer circuits.
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Clear Path to Error Correction
We believe trapped ions will require fewer total qubits for error correction compared to other quantum.
We believe qubits with higher fidelity will require fewer total qubits to create a single logical, error corrected qubit. IonQ’s approach to developing a fault tolerant quantum computer, which will require scales much larger than today’s biggest quantum computers, is to manufacture the highest quality qubits possible, thus limiting the total number of qubits needed in a system.
Highest Gate Fidelity
Ion qubits have achieved the lowest gate error rate of any quantum technology.
Ion qubits are identical and naturally quantum. When isolated from the environment around them, ion qubits can be manipulated with a high degree of accuracy. Since qubit gate operation error compounds through the depth of a quantum algorithm, even small errors can make results unusable. We believe that trapped ions are the best way to produce the high-quality qubits needed to build fault tolerant quantum computers.
Explore Aria's Unique System Architecture
Aria System
Aria represents several innovations in both trapped ion technology and in quantum computing.
Learn more by selecting system components from the list above.
Optimized Performance
Aria’s operating system was developed from the ground up, by IonQ, specifically for Aria’s hardware architecture. This bespoke approach increases system performance and ensures we are getting the most from Aria’s hardware.
- Optimized for IonQ hardware
- Circuit/task optimization built in
All-to-All Connectivity
Aria's laser system includes 32 individual beams, one for each qubit. By addressing each qubit with its own laser pulses, we reduce crosstalk and improve the fidelity of gate operations
- All-to-all qubit connectivity
- Improved fidelity of gate operations
Improved System Uptime
With improved vacuum, the 2nd gen chamber in Aria has significantly higher ion chain stability and lower electrical noise, resulting in longer operational up-time and higher gate fidelities.
- Increased gate operation fidelity over 1st gen chamber
- Improved system operational uptime over Harmony
Improved Gate Operations
The combination of Aria’s laser system and the new, in-house designed ion trap, Iris, allows for deeper circuits to be executed with measurable results.
- More stable electromagnetic field reduces noise from ion micromotion
- Increased fidelity of gate operations
- Improved system uptime
Long Coherence Times
Yb-171+ is well suited to quantum computing. Its electronic structure allows for efficient laser cooling together with high performance state preparation, measurement, and gate operations.
- Long coherence times
- High gate operation fidelities
Explore other quantum systems
IonQ Aria
Our universally accessible, high-performing flagship quantum system
IonQ Tempo
Our commercial advantage capable computer for production applications
IonQ Forte
Our highest performing, commercially available quantum system
IonQ Forte Enterprise
Our rack mountable, on-prem system for production readiness and hybrid workflows with #AQ 36 and 36 qubits
Compare Systems
Explore and compare IonQ’s industry leading portfolio of quantum computers
Aria Specifications
#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.
25
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%
One-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
IonQ 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
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