IonQ and Rigetti build quantum computers with different hardware: IonQ uses trapped ions, while Rigetti uses superconducting qubits arranged in interconnected chiplets. Neither modality is a universal winner. To judge which system fits a task, compare the specific processor, connectivity, gate performance, benchmark method, and cloud access—not just the headline qubit count.
What is the difference between IonQ and Rigetti?
IonQ confines individual charged atoms, or ions, in electromagnetic traps and manipulates them with optical controls; its roadmap also describes microwave operations for newer generations. Rigetti fabricates superconducting qubits on chips and connects smaller processor tiles into larger systems. These are distinct engineering approaches, not interchangeable labels for the same machine.
As an Amazon Associate I earn from qualifying purchases.
The modality influences how qubits are controlled and connected, but it does not by itself determine which computer will perform better on a particular problem. Circuit design, compilation, error rates, connectivity, and the benchmark conditions all matter.
Do these 3 things before closing this tab:
1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteHow the hardware is organized
| Comparison point | IonQ | Rigetti |
|---|---|---|
| Qubit modality | Trapped ions, with optical control described on its roadmap and microwave operations listed for newer generations. (IonQ roadmap) | Superconducting qubits. (Rigetti system announcement) |
| Example system architecture | The roadmap describes all-to-all connectivity and modular scaling for its systems. (IonQ roadmap) | Cepheus-1-108Q has 108 physical qubits in twelve interconnected 9-qubit chiplets. (Rigetti system announcement) |
“All-to-all” describes a system’s stated connectivity, not a guarantee that every circuit runs without routing overhead or performs better than a chiplet-based design. A compiler may need to map a requested circuit onto a processor’s native operations and connections, so effective performance depends on the workload as well as the architecture.
#1 Best Overall
Which has more qubits?
For a clearly identified, currently announced system in the supplied dated comparisons, Rigetti’s Cepheus-1-108Q has 108 physical qubits. IonQ’s roadmap lists 2026 targets of 100–256+ physical qubits, alongside a target of 12 logical qubits. Those IonQ figures are roadmap milestones, not a confirmation that a particular system with those specifications is generally available. (IonQ roadmap; Rigetti system announcement)
Physical qubits are hardware components; logical qubits are error-corrected units formed using physical qubits and additional error-correction resources. The two counts are not directly comparable. More physical qubits alone also do not establish greater useful computing capacity: fidelity, connectivity, error correction, circuit compilation, and the task itself affect what a system can accomplish.
Rank #2
Do IonQ and Rigetti’s performance numbers compare directly?
No. The published figures below refer to different systems and disclosures, and the reviewed sources do not establish a matched independent benchmark of current IonQ and Rigetti hardware running the same workload under the same measurement protocol.
| System or claim | Reported figure | What the figure represents |
|---|---|---|
| IonQ | 99.99% two-qubit gate fidelity | IonQ said in its April 22, 2026 announcement that it achieved this result in 2025. It is a company-reported result, not a head-to-head comparison with Rigetti. (IonQ technical-report announcement) |
| Rigetti Cepheus-1-108Q | 99.1% median two-qubit gate fidelity; approximately 60 ns gate speed; 99.9% median single-qubit gate fidelity | Rigetti reported these system metrics in its April 7, 2026 general-availability announcement. (Rigetti system announcement) |
| IonQ Forte research benchmark | 30 trapped-ion qubits; all-to-all operations; benchmark suite passed through #AQ 29 | Chen and co-authors reported this in a 2023 preprint. They also found quantitative differences between model predictions and experiments, as well as errors outside the model. It is research on IonQ Forte, not a current comparison against Cepheus-1-108Q. (Chen et al., arXiv preprint) |
Gate fidelity describes how closely a gate operation matches its intended result under the stated measurement method; gate speed describes its duration. A median value is not the same as a best-case value, and neither metric alone predicts application performance. The reported IonQ and Rigetti figures have different system and reporting contexts, so ranking them as if they came from one controlled test would be misleading.
What do their roadmaps say about scaling and error correction?
IonQ’s stated trajectory
IonQ’s live roadmap lists future milestones for physical and logical qubits and describes all-to-all connectivity and modular scaling. Its April 2026 technical announcement outlines a blueprint for fault-tolerant quantum computing. These are company descriptions and targets, not evidence that general-purpose fault-tolerant quantum computing has already been delivered. (IonQ roadmap; IonQ technical-report announcement)
Rigetti’s stated trajectory
Rigetti describes its chiplet approach as a way to scale systems. In its Q2 2026 update, the company set forward-looking targets of approximately 1,000 qubits, approximately 99.9% two-qubit gate fidelity, and gate speeds below 50 ns over roughly three years. These are targets, not achieved specifications. (Rigetti Q2 2026 update)
A roadmap is useful for understanding what a company is aiming to build, but it should be kept separate from a currently available processor’s measured performance. Neither set of cited materials establishes that either provider has delivered general-purpose fault-tolerant quantum computing.
Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchPC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Can you access IonQ or Rigetti through the cloud?
Both companies describe cloud routes to quantum hardware, but availability depends on the specific device, provider, region, and service conditions. Catalogs, queues, pricing, and software support can change; check the relevant provider’s current listing before planning a job.
Best Value
- IonQ: The company says its quantum services are available through major cloud providers, but the cited announcement does not enumerate current device, provider, and region combinations. (IonQ announcement)
- Rigetti: The April 2026 system announcement listed Cepheus-1-108Q through Rigetti Quantum Cloud Services (QCS) and Amazon Braket. Rigetti’s Q1 2026 report also named Microsoft Azure Quantum and qBraid among its cloud routes. The listed access channels do not establish that every Rigetti device is available through every service. (Rigetti system announcement; Rigetti Q1 2026 report)
Rigetti also reports selling on-premises systems, a route aimed at institutional or organizational deployment rather than ordinary consumer equipment. (Rigetti Q1 2026 report)
Which company is better for a particular workload?
There is not enough evidence in the cited comparisons to declare a universal winner. IonQ’s and Rigetti’s company-reported metrics are not a controlled, same-task test, and the IonQ Forte preprint illustrates why modeling or component-level figures should not be treated as application results: the authors reported useful benchmark outcomes but also quantitative model discrepancies and out-of-model errors. (Chen et al., arXiv preprint)
For a practical evaluation, start with the work you need to run, then verify that each candidate device and service can support the relevant circuit and measurement procedure:
- Define the workload. Specify the algorithm or problem, circuit depth, number of shots, required observables, and acceptable error. Without a concrete task, a hardware ranking has little meaning.
- Check the exact processor and access route. Confirm the device name, whether it is available through your chosen cloud service and region, and the current queue, pricing, and software conditions.
- Compare native operations and connectivity. Determine how much routing or compilation overhead the circuit incurs on each processor; a connectivity label by itself does not answer that question.
- Use a matched benchmark when possible. Run the same circuit, compilation settings, measurement approach, and success criteria on each available system. Record the date and device because hardware and access change.
- Separate measured results from plans. Use current processor data for present decisions; treat company roadmaps and multi-year targets as prospective statements.
IonQ’s April 2026 announcement names activity involving drug discovery, materials science, finance, logistics, cybersecurity, and defense. Rigetti’s April system release cites materials science, optimization, and quantum simulation as example research areas for Braket access. These are company-described areas of activity, not proof of quantum advantage for those fields’ general commercial workloads. (IonQ announcement; Rigetti system announcement)
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
