List of quantum processors
This list contains quantum processors, also known as quantum processing units. Some devices listed below have only been announced at press conferences so far, with no actual demonstrations or scientific publications characterizing the performance.
Quantum processors are difficult to compare due to the different architectures and approaches. Due to this, published physical qubit numbers do not reflect the performance levels of the processor. This is instead achieved through the number of logical qubits or benchmarking metrics such as quantum volume, randomized benchmarking or circuit layer operations per second.
Circuit-based quantum processors
These QPUs are based on the quantum circuit and quantum logic gate-based model of computing.| Manufacturer | Name/codename designation | Architecture | Layout | Fidelity | Qubits | Release date | Quantum volume |
| Alpine Quantum Technologies | PINE System | Trapped ion | 24 | 128 | |||
| Atom Computing | Phoenix | Neutral atoms in optical lattices | 100 | ||||
| Atom Computing | Neutral atoms in optical lattices | 35×35 lattice | < 99.5 | 1180 | October 2023 | ||
| CAS | Xiaohong | Superconducting | 504 | ||||
| Superconducting | 99.5 | 20 | |||||
| Superconducting | 7×7 lattice | 99.7 | 49 | Q4 2017 | |||
| Bristlecone | Superconducting transmon | 6×12 lattice | 99 99.9 99.4 | 72 | |||
| Sycamore | Superconducting transmon | 9×6 lattice | 53 effective | ||||
| Willow | Superconducting transmon | rotated rectangular lattice | 99.965% 99.67% Surface code error correction implemented. | 105 qubits | |||
| IBM | IBM Q 5 Tenerife | Superconducting | bow tie | 99.897 98.64 | 5 | ||
| IBM | IBM Q 5 Yorktown | Superconducting | bow tie | 99.545 94.2 | 5 | ||
| IBM | IBM Q 14 Melbourne | Superconducting | 99.735 97.13 | 14 | |||
| IBM | IBM Q 16 Rüschlikon | Superconducting | 2×8 lattice | 99.779 94.24 | 16 | ||
| IBM | IBM Q 17 | Superconducting | 17 | ||||
| IBM | IBM Q 20 Tokyo | Superconducting | 5×4 lattice | 99.812 93.21 | 20 | ||
| IBM | IBM Q 20 Austin | Superconducting | 5×4 lattice | 20 | |||
| IBM | IBM Q 50 prototype | Superconducting transmon | 50 | ||||
| IBM | IBM Q 53 | Superconducting | 53 | ||||
| IBM | IBM Eagle | Superconducting transmon | 127 | ||||
| IBM | IBM Osprey | Superconducting | 433 | ||||
| IBM | IBM Condor | Superconducting | Honeycomb | 1121 | December 2023 | ||
| IBM | IBM Heron | Superconducting | 133 | December 2023 | |||
| IBM | IBM Heron R2 | Superconducting | Heavy hex | 96.5 | 156 | November 2024 | |
| IBM | IBM Nighthawk | 120 | December 2025 | ||||
| IBM | IBM Armonk | Superconducting | Single Qubit | 1 | |||
| IBM | IBM Ourense | Superconducting | T | 5 | - | ||
| IBM | IBM Vigo | Superconducting | T | 5 | |||
| IBM | IBM London | Superconducting | T | 5 | |||
| IBM | IBM Burlington | Superconducting | T | 5 | |||
| IBM | IBM Essex | Superconducting | T | 5 | |||
| IBM | IBM Athens | Superconducting | 5 | 32 | |||
| IBM | IBM Belem | Superconducting | Falcon r4T | 5 | 16 | ||
| IBM | IBM Bogotá | Superconducting | Falcon r4L | 5 | 32 | ||
| IBM | IBM Casablanca | Superconducting | Falcon r4H | 7 | 32 | ||
| IBM | IBM Dublin | Superconducting | 27 | 64 | |||
| IBM | IBM Guadalupe | Superconducting | Falcon r4P | 16 | 32 | ||
| IBM | IBM Kolkata | Superconducting | 27 | 128 | |||
| IBM | IBM Lima | Superconducting | Falcon r4T | 5 | 8 | ||
| IBM | IBM Manhattan | Superconducting | 65 | 32 | |||
| IBM | IBM Montreal | Superconducting | Falcon r4 | 27 | 128 | ||
| IBM | IBM Mumbai | Superconducting | Falcon r5.1 | 27 | 128 | ||
| IBM | IBM Paris | Superconducting | 27 | 32 | |||
| IBM | IBM Quito | Superconducting | Falcon r4T | 5 | 16 | ||
| IBM | IBM Rome | Superconducting | 5 | 32 | |||
| IBM | IBM Santiago | Superconducting | 5 | 32 | |||
| IBM | IBM Sydney | Superconducting | Falcon r4 | 27 | 32 | ||
| IBM | IBM Toronto | Superconducting | Falcon r4 | 27 | 32 | ||
| Intel | 17-Qubit Superconducting Test Chip | Superconducting | 40-pin cross gap | 17 | |||
| Intel | Tangle Lake | Superconducting | 108-pin cross gap | 49 | |||
| Intel | Tunnel Falls | Semiconductor spin qubits | 12 | ||||
| IonQ | Harmony | Trapped ion | All-to-All | 99.73 90.02 99.30 | 11 | 8 | |
| IonQ | Aria | Trapped ion | All-to-All | 99.97 98.33 98.94 | 25 | ||
| IonQ | Forte | Trapped ion | 366x1 chain All-to-All | 99.98 98.5–99.3 99.56 | 36 | - | |
| IQM | - | Superconducting | Star | 99.91 99.14 | 5 | ||
| IQM | - | Superconducting | Square lattice | 99.91 99.944 98.25 99.1 | 20 | 16 | |
| M Squared Lasers | Maxwell | Neutral atoms in optical lattices | 99.5, 99.1 | 200 | |||
| Oxford Quantum Circuits | Lucy | Superconducting | 8 | ||||
| Oxford Quantum Circuits | OQC Toshiko | Superconducting | 32 | ||||
| Quandela | Photonics | 99.6 93.8 86.0 | 6 | ||||
| QuTech at TU Delft | Spin-2 | Semiconductor spin qubits | 99 85 | 2 | |||
| QuTech at TU Delft | - | Semiconductor spin qubits | 6 | ||||
| QuTech at TU Delft | Starmon-5 | Superconducting | X configuration | 97 | 5 | ||
| Quantinuum | Helios | Trapped ion | Storage ring and legs | 99.9975 99.921 | 98 | November 2025 | |
| Quantinuum | H2 | Trapped ion | Racetrack, All-to-All | 99.997 99.87 | 56 | 8,388,608 | |
| Quantinuum | H1-1 | Trapped ion | 15×15 | 99.996 99.914 | 20 | 1,048,576 | |
| Quantinuum | H1-2 | Trapped ion | All-to-All | 99.996 99.7 | 12 | 4096 | |
| Quantware | Soprano | Superconducting | 99.9 | 5 | |||
| Quantware | Contralto | Superconducting | 99.9 | 25 | |||
| Quantware | Tenor | Superconducting | 64 | ||||
| Rigetti | Agave | Superconducting | 96 87 | 8 | |||
| Rigetti | Acorn | Superconducting transmon | 98.63 87.5 | 19 | |||
| Rigetti | Aspen-1 | Superconducting | 93.23 90.84 | 16 | |||
| Rigetti | Aspen-4 | Superconducting | 99.88 94.42 | 13 | |||
| Rigetti | Aspen-7 | Superconducting | 99.23 95.2 | 28 | |||
| Rigetti | Aspen-8 | Superconducting | 99.22 94.34 | 31 | |||
| Rigetti | Aspen-9 | Superconducting | 99.39 94.28 | 32 | |||
| Rigetti | Aspen-10 | Superconducting | 99.37 94.66 | 32 | |||
| Rigetti | Aspen-11 | Superconducting | Octagonal | 99.8 92.7 91.0 | 40 | - | |
| Rigetti | Aspen-M-1 | Superconducting transmon | Octagonal | 99.8 93.7 94.6 | 80 | 8 | |
| Rigetti | Aspen-M-2 | Superconducting transmon | 99.8 91.3 90.0 | 80 | |||
| Rigetti | Aspen-M-3 | Superconducting transmon | 99.9 94.7 95.1 | 80 | |||
| Rigetti | Ankaa-2 | Superconducting transmon | 98 | 84 | |||
| RIKEN | RIKEN | Superconducting | 53 effective | ||||
| SaxonQ | Princess | Nitrogen-vacancy center | 4 | ||||
| SaxonQ | Princess+ | Nitrogen-vacancy center | 4 | ||||
| SpinQ | Triangulum | Nuclear magnetic resonance | 3 | ||||
| USTC | Jiuzhang | Photonics | 76 | ||||
| USTC | Zuchongzhi | Superconducting | 62 | ||||
| USTC | Zuchongzhi 2.1 | Superconducting | lattice | 99.86 99.41 95.48 | 66 | ||
| USTC | Zuchongzhi 3.0 | Superconducting transmon | 15 x 7 | 99.90 99.62 99.18 | 105 | December 16, 2024 | |
| Xanadu | Borealis | Photonics | 216 | ||||
| Xanadu | X8 | Photonics | 8 | ||||
| Xanadu | X12 | Photonics | 12 | ||||
| Xanadu | X24 | Photonics | 24 |