Superconducting Quantum Computing
Superconducting qubits are electrical circuits cooled to millikelvin temperatures where quantum effects dominate. They are fabricated using standard semiconductor lithography, making them highly scalable. Qubits are formed from Josephson junctions — non-linear inductors that create discrete energy levels. IBM, Google, and Rigetti lead commercial deployment of this technology.
Key Advantage
Fast gate speeds (tens to hundreds of nanoseconds), mature fabrication technology using standard semiconductor processes, and strong industry investment make this the most commercially advanced platform.
Key Challenge
Requires dilution refrigerators operating near absolute zero (~15 mK), leading to large physical footprints and high infrastructure costs. Qubits are sensitive to noise, limiting coherence times to microseconds-to-milliseconds range.
Superconducting QPUs (6)
| QPU | Qubits | Best Price | Link |
|---|---|---|---|
| IBM Heron r2 IBM | 156 | From $1.60/sec | Details |
| IBM Nighthawk IBM | 120 | From $1.60/sec | Details |
| IBM Eagle r3 IBM | 127 | From $0.00/sec | Details |
| Google Willow Google Quantum AI | 105 | Research access | Details |
| Rigetti Ankaa-3 Rigetti Computing | 84 | From $0.000750/shot | Details |
| IQM Garnet IQM Quantum Computers | 20 | From $0.001450/shot | Details |
Use Cases
Frequently Asked Questions
What temperature do superconducting quantum computers operate at?
How fast are superconducting qubit gates?
What is the quantum volume of superconducting QPUs?
Which cloud platforms offer superconducting QPU access?
What are the best use cases for superconducting quantum computers?
Compare With Other Technologies
10–700 ns per gate gates vs 1 µs – 1 ms per gate
Compare IBM Heron r2 vs Quantinuum H2-1 →10–700 ns per gate gates vs 0.1 µs – 1 ms per gate
Compare IBM Heron r2 vs QuEra Aquila →10–700 ns per gate gates vs Picoseconds for passive operations; detector timing ~ns
Compare IBM Heron r2 vs Xanadu Borealis →10–700 ns per gate gates vs Not yet characterized at scale
Compare IBM Heron r2 vs Microsoft Majorana 1 →