'Distributed Quantum Computing architecture and patterns. Apply when designing multi-QPU systems, quantum communication protocols, or scaling quantum computing beyond single device limitations.'
Framework from arxiv:2212.10609 & arxiv:2404.01265 - scaling quantum computing via distributed paradigm.
Single QPU Limitation:
┌─────────────────────────────────────────────────────────────┐
│ Distributed Quantum Computing System │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ QPU-1 │ │ QPU-2 │ │ QPU-3 │ │
│ │ 100 qubits│ │ 100 qubits│ │ 100 qubits│ │
│ └──────────┘ ┌──────────┘ └──────────┘ │
│ │ │ │ │
│ └──────────────┼──────────────┘ │
│ │ │
│ ┌───────▼───────┐ │
│ │ Quantum Network│ │
│ │ (Entanglement │ │
│ │ Distribution)│ │
│ └───────┬───────┘ │
│ │ │
│ ┌───────▼───────┐ │
│ │ Distributed │ │
│ │ Quantum Gates│ │
│ └───────┬───────┘ │
│ │ │
│ ┌───────▼───────┐ │
│ │ Scheduler │ │
│ │ (Task Distribution)│ │
│ └───────┴───────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
| Protocol | Purpose |
|---|---|
| Teleportation | Transfer quantum state between QPUs |
| Entanglement swapping | Create entanglement across non-directly connected QPUs |
| Quantum routing | Route qubits through quantum network |
| Challenge | Description | Current Solutions |
|---|---|---|
| Entanglement distribution | Create/maintain entanglement across QPUs | Quantum repeaters, entanglement swapping |
| Noise propagation | Errors spread across distributed system | Distributed error correction |
| Communication overhead | Teleportation requires classical communication | Minimize non-local gates |
| Synchronization | QPUs must be synchronized | Distributed quantum clock |
| Scalability | Network topology limits scaling | Hierarchical architecture |
def partition_circuit(circuit, n_qpus):
"""Partition quantum circuit across multiple QPUs."""
partitions = []
for i in range(n_qpus):
partition = extract_local_gates(circuit, qpu_range=i)
non_local_gates = extract_non_local_gates(circuit, qpu_range=i)
partitions.append({
'local': partition,
'non_local': non_local_gates,
'communication': estimate_teleportation_cost(non_local_gates)
})
return optimize_partition(partitions)
QPUs connected via quantum network:
- Direct links: High-fidelity entanglement
- Indirect links: Entanglement swapping via repeaters
- Topology: Minimize shortest path between any two QPUs
| Metric | Target |
|---|---|
| Entanglement fidelity | > 0.99 for distributed gates |
| Communication latency | < 1ms for teleportation |
| QPU utilization | > 80% parallel execution |
| Error rate | < 0.001 per distributed operation |
OpenClaw's distributed agent architecture parallels DQC:
Sources: arxiv:2212.10609 (Caleffi et al., 2024), arxiv:2404.01265 (Barral et al., 2024)
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