Platform health, run history, and resource posture
Operations is the systems-side view: are the quantum backends healthy, are upstream data sources fresh, what jobs are running, what's been spent. The Initialize → Visualize pipeline trusts that everything here is green.
● 1 service(s) degraded
ACTIVE JOBS
3
currently executing
QUEUE DEPTH
2
~6m wait
SUCCESS RATE · 24H
90.9%
10/11 jobs · 24h
SPEND · MTD
$87.40
17% of $500.00 budget
TOOL · IBM WORKLOAD
Per-CRN job tracking and usage
Not configured
IBM Quantum workload scoped to your configured CRN. Quantum-seconds, concurrent slots, and per-backend access depend on your IBM Cloud plan. Configure on Settings → IBM Quantum Connection.
⊟
No IBM Quantum connection configured
Add your IBM Quantum API token and CRN on Settings → IBM Quantum Connection. Once validated, this panel will show your account-specific workload, quantum-second usage, concurrent job slots, and which backends your plan can access.
Every external dependency this dashboard relies on. Anything degraded turns the platform into "fallback mode" — the source check on Experiment will mark the affected source as fallback rather than live.
IBM Quantum · ibm_torino
healthy
latency 38ms · uptime 99.70% (30d)
last probe: 20587d ago · 38ms
IBM Quantum · ibm_brisbane
healthy
latency 41ms · uptime 99.50% (30d)
last probe: 20587d ago · 41ms
Classical compute
healthy
latency 12ms · uptime 99.90% (30d)
last probe: 20587d ago · 12ms
Hetionet KG cache
healthy
latency 8ms · uptime 99.80% (30d)
last probe: 20587d ago · 8ms
PubChem REST
degraded
latency 184ms · uptime 99.10% (30d)
last probe: 20587d ago · 184ms
ClinicalTrials.gov
healthy
latency 62ms · uptime 99.60% (30d)
last probe: 20587d ago · 62ms
DrugBank API
healthy
latency 71ms · uptime 99.40% (30d)
last probe: 20587d ago · 71ms
MLflow registry
healthy
latency 22ms · uptime 99.80% (30d)
last probe: 20587d ago · 22ms
API gateway
healthy
latency 19ms · uptime 99.90% (30d)
last probe: 20587d ago · 19ms
TOOL · QUANTUM BACKENDS
IBM hardware availability
Live
Per-backend status, calibration, and queue. Pre-job hardware checks gate every quantum / hybrid run.
ibm_torinoHeron r2
online
156 qubits · queue 2 · last cal 20587d ago
232μs
median T1
158μs
median T2
0.972
readout fid
0.012
2Q error
ibm_brisbaneEagle r3
online
127 qubits · queue 8 · last cal 20587d ago
198μs
median T1
142μs
median T2
0.964
readout fid
0.016
2Q error
ibm_kyotoEagle r3
online
127 qubits · queue 0 · last cal 20587d ago
207μs
median T1
138μs
median T2
0.961
readout fid
0.018
2Q error
TOOL · RESOURCE UTILIZATION
Compute consumed this month
Diagnostics
Resource counters and utilization bars. Quantum-second is shots × circuit depth × wall-clock; CPU-hour is wall-clock × core count.
CPU-hours · MTD412 / 1,000 h
41% of cap
Quantum-seconds · MTD1,840 / 5,000 s
37% of cap
GPU-hours · MTD38 / 200 h
19% of cap
Storage · MTD142 / 500 GB
28% of cap
API calls · MTD8,400 / 50,000 calls
17% of cap
Cache hit rate · MTD94% / 100%
94% of cap
TOOL · RECENT JOB HISTORY
Last 24 hours of completed runs
Audit
Every completed job with status, candidate pair, top model, run path, duration, cost, and integrity-guard posture at the time of execution.
JOB ID
CANDIDATE → DISEASE
TOP MODEL
PATH
STATUS
DURATION
COST
STARTED
job_8a3f21
Inaxaplin → DOID:10763
Quantum Kernel + Metapath
hybrid
✓ done
4m 12s
$4.82
4m ago
job_8a3f1f
Venetoclax → DOID:9538
QSVC (Pauli)
hybrid
✓ done
3m 48s
$4.35
30m ago
job_8a3f1c
Deucravacitinib → DOID:9074
Stacking ensemble
classical
✓ done
52s
$0.18
1h ago
job_8a3f1a
Empagliflozin → DOID:10763
QSVC (Pauli)
hybrid
✓ done
4m 02s
$4.65
2h ago
job_8a3f18
Decitabine → DOID:10923
QGNN
hybrid
✗ failed
1m 14s
$0.92
3h ago
job_8a3f15
Capivasertib → DOID:10283
Quantum Kernel + Metapath
hybrid
✓ done
3m 56s
$4.41
5h ago
job_8a3f12
Imatinib → DOID:8552
Stacking ensemble
classical
✓ done
48s
$0.16
6h ago
job_8a3f10
Aspirin → DOID:1287
Logistic Regression
classical
✓ done
12s
$0.04
9h ago
job_8a3f0e
Doxorubicin → DOID:1612
XGBoost
classical
✓ done
38s
$0.13
11h ago
job_8a3f0c
Trastuzumab → DOID:1612
QAOA
quantum
✓ done
5m 18s
$6.12
14h ago
job_8a3f0a
Pembrolizumab → DOID:1909
VQC
hybrid
✓ done
3m 22s
$3.88
17h ago
TOOL · COST & BUDGET
Month-to-date spend by service
Finance
Spend broken out by upstream service. Budget tracked against linear monthly target.
IBM Quantum runtimeover
$38.4244%
AWS EC2 (CPU pool)on-pace
$22.1825%
AWS S3 (artifacts)under
$8.4510%
GPU (A100 hours)on-pace
$12.1614%
API quotasunder
$4.926%
Monitoringunder
$1.271%
$87.40
spent · MTD
$500.00
monthly budget
ahead of pace
vs linear pace
TOOL · DATA SOURCES
Upstream freshness & integrity
Provenance
Versioned data snapshots — when each was last refreshed, the SHA-256 of the snapshot, and the integrity-check status.
Active warnings (degraded services, calibration drift, budget burn). Resolved incidents from the last 7 days for trend awareness.
Active · 2
⚠PubChem API p95 latency above 150ms for 14mhealth-probe · pubchem.rest14m ago
⚠ibm_kyoto out of service for scheduled calibrationibm_runtime · backends4m ago
Resolved (last 7d) · 3
✓Hetionet KG cache rebuilt successfully (12.4 GB)hetionet/refresh.py2h ago
⚠job_8a3f18 failed: QGNN OOM on 12-qubit circuitjobs/8a3f18/error.log3h ago
⛔AWS S3 throughput throttled — increased limit to 500 req/saws/cloudwatch1d ago
⊙ HOW TO READ THIS PAGE
What this view answers — and what to question
Operations is for platform engineers, not researchers. Read it before kicking off a run. If anything here is amber or red, the science pages will inherit fallback labels — interpret accordingly.