Science & optimisation
Quantum circuit experiments
Run and compare circuits without managing infrastructure.
- Quantum
- Store
- NoSQL
The scenario
Researchers submit circuits, collect results and compare runs.
How it works
- 1Circuits are submitted to a simulator.
- 2Results are stored per run.
- 3A notebook agent compares them.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01Circuits are submitted to a simulator.
queued- Ahura Quantumqc.devicesqueued
status: queued · 0 / 4,000 shots run
02Results are stored per run.
queued- Ahura Storestore.getqueued
status: queued · 0 / 48 objects stored
03A notebook agent compares them.
queued- Ahura NoSQLnosql.queryqueued
status: queued · 0 / 600 records written
Services in this partition
Quantum
0 calls · 0.00 ACU
Store
0 calls · 0.00 ACU
NoSQL
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Quantum experimentation is held back by logistics: toolchains, provider accounts, results trapped in notebooks. Ahura OS makes a circuit a tool call. Submit it, get results through the same interface as everything else, and have each run stored and attributable. You pay per experiment with no subscription to maintain, and the experiment record is kept for as long as you decide.
What each capability replaces
- Ahura QuantumInstead of provider accounts, toolchains and queues, a circuit or problem is a tool call with results stored for you.
- Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
- Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
Installing toolchains, managing accounts with several providers and keeping results in notebooks.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance