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Quick Verdict

D-Wave Advantage2 uses Annealing while Google Willow uses Superconducting technology. D-Wave Advantage2 offers more physical qubits (4,400 qubits).

Specification Comparison

Metric D-Wave Advantage2 Google Willow
Physical Qubits 4,400 ✓ 105
Technology Annealing Superconducting
2Q Gate Fidelity 99.88% ✓
1Q Gate Fidelity 99.97% ✓
Readout Fidelity 99.90% ✓
Quantum Volume
CLOPS 100,000 ✓
T1 (Relaxation) 100 µs ✓
T2 (Dephasing) 80 µs ✓
1Q Gate Time 25 ns ✓
2Q Gate Time 68 ns ✓
Connectivity Zephyr (deg 20) Grid (deg 4)
Max Circuit Depth 1,000 ✓
Max Shots 1,000,000 ✓
Dynamic Circuits No No
Error Mitigation No Available
Cloud Platforms 3 platforms 0 platforms

Green bold values with a checkmark indicate the better result for each metric.

Pricing Comparison

Example: 10-qubit, 50-depth circuit, 1,000 shots — estimated cost on cheapest platform: D-Wave Advantage2: $0.3000 vs Google Willow: N/A

Annealing D-Wave Advantage2

Platform Price Status
D-Wave Leap
$2,000.00/min Available
Best Amazon Braket
$0.3000/task Available
qBraid
$0.3000/task Available

Superconducting Google Willow

No cloud access data available.

Annealing vs Superconducting: Technology Tradeoffs

Annealing (used by D-Wave Advantage2)
Advantage
Very large qubit counts (5000+ physical qubits), fast sampling times (~microseconds per anneal), and a well-developed software ecosystem (D-Wave Ocean SDK) optimized for combinatorial optimization problems in logistics, finance, and scheduling.
Challenge
Limited connectivity between qubits requires problem embedding that can consume many physical qubits to represent a single logical variable. Not universal — cannot run arbitrary quantum algorithms. Quantum advantage over classical optimization solvers has not been conclusively demonstrated.
Gate Speed
20 µs per anneal (full problem solve)
Fidelity
Not applicable — stochastic sampling approach
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Superconducting (used by Google Willow)
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.
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.
Gate Speed
10–700 ns per gate
Fidelity
99.5–99.9% for 2-qubit gates
Learn more →

Use Case Recommendations

Quantum Chemistry Google Willow

Higher 2Q gate fidelity (99.88%) means fewer errors in VQE/UCCSD circuits.

Large-scale Optimization D-Wave Advantage2

More qubits (4,400 qubits) allows encoding larger problem instances.

Finance / Monte Carlo Google Willow

Higher CLOPS (100,000) means faster circuit execution for high-repetition workloads.

Frequently Asked Questions

What is the difference between D-Wave Advantage2 and Google Willow?

D-Wave Advantage2 uses Annealing while Google Willow uses Superconducting technology. D-Wave Advantage2 offers more physical qubits (4,400 qubits). These QPUs use fundamentally different qubit technologies: Annealing vs Superconducting.

Which is better for quantum chemistry, D-Wave Advantage2 or Google Willow?

For quantum chemistry, gate fidelity is the most critical metric. Compare the 2Q gate fidelity figures in the spec table above to determine which QPU is better suited for your chemistry workload.

How do the prices compare between D-Wave Advantage2 and Google Willow?

D-Wave Advantage2 is available from $0.3000/task on Amazon Braket. Google Willow is available from no public cloud access. Note that pricing models differ — per-shot pricing is directly comparable while AQT and HQC models depend on circuit structure.

Which QPU has better connectivity, D-Wave Advantage2 or Google Willow?

D-Wave Advantage2 uses Zephyr connectivity (degree 20) while Google Willow uses Grid connectivity (degree 4).

What are the coherence times for D-Wave Advantage2 vs Google Willow?

Google Willow: T1=100 µs, T2=80 µs.