Introduction
Quantum computing is moving from research labs to enterprise hybrid environments. Organizations need to manage quantum simulators for development, QPU access through cloud providers (IBM Quantum, Amazon Braket, Google Quantum AI), and hybrid classical-quantum workflows. Ansible automates the provisioning, configuration, and orchestration of this entire stack.
Quantum Computing Stack
┌──────────────────────────────────────────────────┐
│ Hybrid Quantum-Classical Platform │
│ │
│ ┌──────────┐ ┌──────────┐ ┌───────────────┐ │
│ │ Quantum │ │ Classical│ │ Hybrid │ │
│ │Simulators│ │ HPC │ │ Orchestrator │ │
│ │ │ │ Cluster │ │ │ │
│ └──────────┘ └──────────┘ └───────────────┘ │
│ │
│ ┌──────────┐ ┌──────────┐ ┌───────────────┐ │
│ │ QPU │ │ Circuit │ │ Results │ │
│ │ Access │ │ Compiler │ │ Analysis │ │
│ │ Gateway │ │ │ │ │ │
│ └──────────┘ └──────────┘ └───────────────┘ │
└──────────────────────────────────────────────────┘
Quantum Development Environment
# quantum-dev.yml
---
- name: Provision quantum development environment
hosts: quantum_devboxes
become: true
vars:
python_version: "3.12"
qiskit_version: "1.3"
tasks:
- name: Install quantum computing frameworks
ansible.builtin.pip:
name:
- "qiskit=={{ qiskit_version }}"
- qiskit-aer
- qiskit-ibm-runtime
- amazon-braket-sdk
- cirq
- pennylane
- pennylane-qiskit
- pytket
- numpy
- scipy
- matplotlib
virtualenv: /opt/quantum/venv
virtualenv_python: "python{{ python_version }}"
- name: Deploy Jupyter quantum kernel
ansible.builtin.pip:
name:
- jupyterlab
- ipykernel
- qiskit-jupyter-widgets
virtualenv: /opt/quantum/venv
- name: Register quantum kernel
ansible.builtin.command: >
/opt/quantum/venv/bin/python -m ipykernel install
--name quantum
--display-name "Quantum (Qiskit {{ qiskit_version }})"
args:
creates: /usr/local/share/jupyter/kernels/quantum
- name: Configure IBM Quantum access
ansible.builtin.template:
src: qiskit-config.json.j2
dest: "/home/{{ dev_user }}/.qiskit/settings.conf"
owner: "{{ dev_user }}"
mode: "0600"
vars:
ibm_quantum_token: "{{ vault_ibm_quantum_token }}"
default_instance: "{{ ibm_quantum_instance }}"
no_log: true
Quantum Simulator Cluster
# quantum-simulator.yml
---
- name: Deploy high-performance quantum simulator cluster
hosts: simulator_nodes
become: true
vars:
simulator_type: "statevector" # statevector, density_matrix, mps
max_qubits: 34
gpu_acceleration: true
tasks:
- name: Install GPU-accelerated simulator
ansible.builtin.pip:
name:
- qiskit-aer-gpu
- cuquantum-python
- custatevec-cu12
virtualenv: /opt/quantum/venv
when: gpu_acceleration
- name: Deploy distributed simulator service
ansible.builtin.template:
src: simulator-service.yml.j2
dest: /opt/quantum/simulator-config.yml
vars:
config:
simulator: "{{ simulator_type }}"
max_qubits: "{{ max_qubits }}"
precision: "double"
threads: "{{ ansible_processor_vcpus }}"
memory_limit: "{{ (ansible_memtotal_mb * 0.8) | int }}M"
gpu_enabled: "{{ gpu_acceleration }}"
noise_model:
enabled: true
backend: "ibm_brisbane"
readout_error: 0.01
gate_error_1q: 0.001
gate_error_2q: 0.01
- name: Deploy simulator API endpoint
community.docker.docker_container:
name: quantum-simulator-api
image: "{{ simulator_api_image }}"
state: started
restart_policy: unless-stopped
ports:
- "{{ simulator_port | default(8100) }}:8000"
env:
SIMULATOR_CONFIG: "/config/simulator-config.yml"
MAX_CONCURRENT_JOBS: "{{ max_concurrent | default('4') }}"
RESULT_CACHE_TTL: "3600"
volumes:
- /opt/quantum/simulator-config.yml:/config/simulator-config.yml:ro
- /data/quantum-results:/results
device_requests: "{{ gpu_acceleration | ternary([{'driver': 'nvidia', 'count': -1, 'capabilities': [['gpu']]}], omit) }}"
QPU Access Gateway
# qpu-gateway.yml
---
- name: Deploy QPU access gateway
hosts: quantum_gateway
become: true
tasks:
- name: Deploy multi-provider quantum gateway
ansible.builtin.template:
src: qpu-gateway.yml.j2
dest: /opt/quantum/gateway-config.yml
vars:
providers:
ibm_quantum:
enabled: true
token: "{{ vault_ibm_quantum_token }}"
instances:
- "ibm-q/open/main"
- "{{ ibm_premium_instance | default(omit) }}"
preferred_backends:
- ibm_brisbane # 127 qubits
- ibm_osaka # 127 qubits
max_circuits_per_job: 300
max_shots: 100000
amazon_braket:
enabled: "{{ braket_enabled | default(false) }}"
region: "{{ aws_region }}"
devices:
- "arn:aws:braket:us-east-1::device/qpu/ionq/Forte"
- "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy"
s3_bucket: "{{ braket_results_bucket }}"
google_quantum:
enabled: "{{ google_quantum_enabled | default(false) }}"
project: "{{ gcp_project }}"
processor: "rainbow"
routing:
strategy: "least_queue_time"
fallback_to_simulator: true
max_wait_time_minutes: 30
circuit_optimization: true
- name: Configure job scheduling
ansible.builtin.template:
src: quantum-scheduler.yml.j2
dest: /opt/quantum/scheduler.yml
vars:
scheduler:
queue_priority:
research: 10
production: 20
urgent: 30
fair_share:
enabled: true
window_hours: 24
cost_limits:
daily_max_usd: "{{ quantum_daily_budget | default(100) }}"
alert_threshold_pct: 80
Hybrid Quantum-Classical Workflow
# hybrid-workflow.yml
---
- name: Deploy hybrid quantum-classical pipeline
hosts: orchestrator
become: true
tasks:
- name: Deploy workflow orchestrator
ansible.builtin.template:
src: hybrid-workflow.yml.j2
dest: /opt/quantum/workflow.yml
vars:
workflow:
name: "{{ experiment_name }}"
steps:
- name: classical_preprocessing
type: classical
host_group: hpc_cluster
script: preprocess.py
output: /data/prepared_input.json
- name: quantum_circuit_generation
type: classical
script: generate_circuits.py
input: /data/prepared_input.json
output: /data/circuits.qpy
- name: quantum_execution
type: quantum
provider: "auto"
circuits: /data/circuits.qpy
shots: 10000
error_mitigation:
method: "twirled_readout"
num_randomizations: 32
output: /data/quantum_results.json
- name: classical_postprocessing
type: classical
host_group: hpc_cluster
script: analyze_results.py
input: /data/quantum_results.json
output: /data/final_results.json
- name: convergence_check
type: decision
condition: "results.convergence_metric < 0.001"
on_true: complete
on_false: quantum_circuit_generation
- name: Configure error mitigation
ansible.builtin.template:
src: error-mitigation.yml.j2
dest: /opt/quantum/error-mitigation.yml
vars:
mitigation:
readout_correction: true
zero_noise_extrapolation: true
probabilistic_error_cancellation: false
dynamical_decoupling:
enabled: true
sequence: "XY4"
Monitoring and Cost Control
- name: Deploy quantum resource monitoring
ansible.builtin.template:
src: quantum-monitoring.yml.j2
dest: /opt/monitoring/quantum-dashboard.yml
vars:
metrics:
- qpu_usage_seconds
- circuit_depth
- qubit_count
- shots_executed
- queue_wait_time
- cost_per_job_usd
- simulator_vs_qpu_ratio
- error_rate_per_backend
alerts:
monthly_cost_limit: "{{ quantum_monthly_budget }}"
queue_time_warning_minutes: 60
error_rate_threshold: 0.1
Related Articles
- Ansible Post-Quantum Cryptography
- Ansible AI Supercomputing GPU Clusters
- Ansible at Scale
- Ansible Confidential Computing
Conclusion
Quantum computing infrastructure combines quantum-specific components (simulators, QPU access, error mitigation) with classical infrastructure (HPC clusters, job schedulers, monitoring). Ansible automates provisioning of quantum development environments, deploying GPU-accelerated simulators, configuring multi-provider QPU access gateways, and orchestrating hybrid quantum-classical workflows. As quantum hardware improves and quantum advantage becomes practical for more use cases, having automated, reproducible infrastructure will be essential for organizations investing in quantum capabilities.