quantum-os-resource-management

name

quantum-os-resource-management

description

Quantum operating systems and resource management patterns for hybrid quantum-classical computing. Covers QOS architecture, Slurm-based quantum resource scheduling, job multiprogramming, hardware-agnostic APIs, error mitigation at the OS level, and container management for quantum workloads. Use when: (1) Designing quantum operating systems or resource managers, (2) Integrating quantum backends with HPC schedulers (Slurm, Kubernetes), (3) Building hardware-agnostic quantum job execution APIs, (4) Multi-programming quantum jobs across space and time, (5) Heterogeneous quantum resource management. Keywords: quantum OS, QOS, quantum resource management, Slurm quantum, quantum job scheduling, quantum container, quantum multiprogramming.

Quantum OS & Resource Management

Core Architecture Patterns

Pattern 1: Modular Quantum Operating System (QOS)

┌─────────────────────────────────────────┐
│          Hardware-Agnostic API           │
├─────────────────────────────────────────┤
│  Job Scheduler  │  Error Mitigator      │
├─────────────────────────────────────────┤
│  Multiprogrammer │  Resource Allocator   │
├─────────────────────────────────────────┤
│     Hardware Abstraction Layer (HAL)     │
└─────────────────────────────────────────┘

Key design tradeoffs:

• Hardware abstraction: Expose unified API across superconducting, trapped-ion, neutral-atom backends
• Error mitigation: Transparent error handling at OS level before application sees results
• Multiprogramming: Schedule jobs across space (qubit subsets) and time (interleaved execution)
• Resource isolation: Prevent job interference on shared quantum hardware

Pattern 2: HPC Scheduler Integration (Slurm Plugin)

Slurm Controller → Quantum Plugin → Quantum Backend API
                    ↓
            Classical Node Co-scheduling

Implementation checklist:

• Abstract quantum backend as a "node type" in scheduler
• Minimize queue duplication (single queue for classical+quantum)
• Support job co-scheduling (classical pre/post-processing with quantum)
• Handle heterogeneous quantum resources (different backends, qubit counts)
• Container management for quantum workloads

Pattern 3: Quantum Resource Scheduling

Decision table for scheduling strategy:

Scenario	Strategy	Rationale
Single backend, FIFO	Simple queue	Low overhead, predictable
Multiple backends	Capability matching	Match job requirements to hardware
NISQ era	Error-aware scheduling	Prioritize lower-noise time slots
FTQC era	Logical qubit scheduling	Schedule by logical, not physical qubits
Hybrid jobs	Co-scheduling	Run classical+quantum together

Implementation Guidelines

Hardware-Agnostic API Design

# Unified quantum job submission
class QuantumJob:
    circuit: QuantumCircuit
    backend_requirements: dict  # min_qubits, max_error_rate, topology
    classical_pre: Callable  # optional classical preprocessing
    classical_post: Callable  # optional classical postprocessing
    
    def submit(self, scheduler) -> JobHandle:
        """Submit to quantum resource manager"""

Error Mitigation at OS Level

• Transparent calibration: Auto-select best calibration data for job timing
• Error budgeting: Track and enforce per-job error budgets
• Result validation: Cross-check results across different backends when available

KG References (kg.db entity IDs)

• [413] QOS: A Modular Quantum Operating System
• [414] Quantum resources in resource management systems (Slurm plugin)
• [410] Dependable classical-quantum computing systems engineering

Related Existing Skills

• quantum-systems-engineering - Broader quantum systems patterns
• quantum-system-architecture - Architecture design patterns
• distributed-quantum-computing - Distributed quantum patterns
• quantum-program-linting - Quantum program correctness