Interactive Tool
Compare Quantum Processors
Select up to three quantum processors to compare their specs side by side — qubit count, architecture, error rates, and more.
| Spec | IBM Condor | Google Sycamore |
|---|---|---|
| Company | IBM | Google (Google Quantum AI) |
| Qubit Count | 1,121 | 53 |
| Qubit Type | Superconducting (fixed-frequency transmon qubits) | Superconducting (transmon qubits with tunable couplers) |
| Architecture | Heavy-hex style lattice, cross-resonance gates, high-density cryogenic flex wiring | 2D rectangular grid with nearest-neighbor tunable couplers |
| Released | 2023 | 2019 |
| Connectivity | Nearest-neighbor connections in a heavy-hex style lattice; each qubit connects to two or three neighbors | 2D grid: each qubit connects to its four nearest neighbors through tunable couplers (86 couplers in the 53-qubit device) |
| Gate Error (2Q) | Comparable to the 433-qubit Osprey; IBM reported its 133-qubit Heron as roughly five times lower in error than Condor | About 0.15% for single-qubit gates and roughly 0.6% for simultaneous two-qubit gates in the 2019 experiment |
| Coherence Time | Tens to roughly one hundred microseconds, typical of IBM's fixed-frequency transmons of this generation (no separate datasheet published) | T1 around 15 to 20 microseconds at the time of the 2019 experiment |
| Operating Temp | About 15 millikelvin (inside a dilution refrigerator) | About 20 millikelvin |
| Cloud Access | Not publicly available | Not publicly available |
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