What is the largest quantum computer by qubit count?
Computed from the live record dataset and the site's open model, with sources.
As of March 2026, the largest quantum computer by physical qubit count has 1,180 qubits, a neutral atom device announced in October 2023. Per-platform records: Neutral Atom 1,180, Superconducting 1,121, Trapped-Ion 98. Physical qubits are not logical qubits: with error correction, one logical qubit costs 31.5–3,747 physical qubits depending on the code and distance.
Why you may have seen a larger number
Much larger qubit counts circulate, and most of them are answering a different question. This page counts one thing: the largest disclosed qubit count on a system built and operated as a gate-based quantum computer, as a single physical device, backed by a linked source (paper, vendor announcement, or press coverage). Numbers that look bigger usually relax one of those conditions.
The common cases: roadmap or announced systems that have not been demonstrated as a working device; quantum annealers, which as built implement a different, non-universal computational model and cannot run gate-based algorithms like Shor's, however many qubits they report; fleet or cumulative counts summed across many machines; and modular architectures quoted at their interconnected design capacity rather than what has been operated as one system. None of those are wrong numbers, they are answers to different questions, and headlines rarely say which question was asked.
The inclusion rule cuts the other way too: a record here is a record demonstration, not a product you can buy or access, and a single-device record says nothing about yield, uptime, or gate quality at that scale. The line is genuinely fuzzy at the top: entries near the record may predate published gate benchmarks at full scale, so stricter criteria (entangling gates benchmarked on-device across the whole array) would shrink these numbers, not grow them. Every data point behind this page carries a source URL, and per-device details are available machine-readably through the site's REST API and MCP server.
Record history: physical qubit counts
Every record event in the dataset, across all tracked platforms, in chronological order. Qubit counts double roughly every 1.5 years (neutral atom), 1.4 years (superconducting), 2.3 years (trapped-ion) on log-linear fits of these series; the fits describe the record history and are not predictions.
| Date | Platform | Physical qubits |
|---|---|---|
| February 2014 | Superconducting | 5 |
| November 2014 | Superconducting | 9 |
| March 2016 | Trapped-Ion | 5 |
| May 2017 | Superconducting | 17 |
| July 2017 | Neutral Atom | 51 |
| March 2018 | Superconducting | 72 |
| July 2021 | Neutral Atom | 100 |
| November 2021 | Superconducting | 127 |
| February 2022 | Trapped-Ion | 24 |
| November 2022 | Superconducting | 433 |
| May 2023 | Trapped-Ion | 32 |
| October 2023 | Neutral Atom | 1,180 |
| December 2023 | Superconducting | 1,121 |
| June 2024 | Trapped-Ion | 56 |
| November 2025 | Trapped-Ion | 98 |
Physical vs logical qubits
Raw qubit counts overstate useful capacity. Useful fault-tolerant computation needs error-corrected logical qubits, each built from many physical qubits, see the overhead breakdown below. Dividing today's record count (1,180) by even the most efficient published code's overhead (~31.5 physical per logical for the Gross code) yields at most ~37 logical qubits, far short of the 1,399 needed for RSA-2048.
That division is a hosting-capacity estimate, not a demonstrated capability: it assumes every physical qubit on the record device could participate in the most efficient published code at sufficient fidelity, which no device has shown at this scale (the code itself is numerically established, not yet operated on hardware). It is the optimistic bound on what today's largest machine could mean in logical terms.
Compute it yourself
Every number on this page is computed from the same open model that powers the interactive evaluator and the MCP server for AI assistants.
GET https://www.quantum-expectations.com/api/fit-historic-series?seriesType=qubit-count&hardwareType=Superconducting