Quantum Computing
From fundamentals to production QPU workloads
We don't just talk quantum. We already operate it in production.
Cloud.in is the first partner in India to operate a customer's production quantum (QPU) workloads on Amazon Braket — running live across a national research organisation since March 2026. Quantum is where the next decade is being decided, and we're already in the arena, not on the sidelines.
1st in India
Partner operating production QPU on Braket
Live · Mar 2026
Executing QPU workloads
108-qubit
Production QPU in use
10+
Braket-certified specialists
The milestone
A national research programme, running quantum in production — operated by us.
We took a national research organisation from quantum fundamentals to live QPU execution on Amazon Braket, and we operate the whole thing end to end: access, execution, billing, monitoring and support. Not a lab experiment — production workloads, on real quantum hardware.
Primary QPU
Rigetti Cepheus-1-108Q
108-qubit superconducting device — our primary production QPU on Amazon Braket.
On demand
IonQ
Trapped-ion quantum hardware.
On demand
QuEra
Neutral-atom quantum hardware.
On demand
IQM
Superconducting quantum hardware.
What we built
The managed layer the platform doesn't offer natively.
Operating quantum in production takes more than access to a QPU. We engineered the governance, billing and monitoring layer that turns raw platform usage into something a research programme can budget, track and trust — the same operational discipline behind our FinOps practice, applied to quantum.
Consumption billing
Minute-based billing
Amazon Braket meters in tasks and shots; research teams budget in time. We convert native usage into minute- and second-level consumption that maps to how teams actually plan — attributable per centre.
Monitoring
Custom dashboards
Engineered on an EventBridge → Lambda → DynamoDB → CloudWatch pipeline: live usage and billing, filterable by user, centre, region and device — visibility Braket doesn't surface on its own.
Governance
Centre-wise reporting
Automated monthly PDF consumption reports, broken down per research centre, with IAM activity mapped to the owning team — built for governance and budgeting.
How we operate it
Managed quantum operations, run with enterprise discipline.
QPU time is scarce and expensive. We run a managed operating model designed to protect every minute of it.
- Advance QPU reservation. We reserve timeslots and provision Braket access ahead of execution, so hardware time is never wasted waiting.
- Secure result handling. Results stored securely in Amazon S3 for immediate, controlled download.
- ITIL-based support. Call and ticket support, SLA-driven, with a single point of contact owning access, execution, billing and escalation.
- Weekly cadence. Regular planning to align day-to-day execution with longer-term usage and maximise productive QPU consumption.
Efficient consumption
Simulators first. QPU only for validated work.
Premium QPU time is reserved for circuits that have already been proven — protecting spend and lifting the quality of every hardware run.
01
Validate on simulators
Confirm circuit logic and noise behaviour on SV1 / DM1 / TN1 at low cost.
→02
Optimise
Reduce circuit depth and right-size shot counts before any hardware run.
→03
Execute on QPU
Submit tuned circuits to real quantum hardware — time spent only on validated work.
10+
Braket-certified specialists operating quantum workloads in production
The team behind it
A quantum-ready team, certified and in production.
- Amazon Braket Training Badge and AWS certifications earned directly with the AWS team.
- Hands-on Braket SDK & hybrid jobs experience, not just theory.
- Circuit optimisation for superconducting QPUs, with joint planning alongside AWS quantum scientists.
- Continuous upskilling and hands-on workshops to stay at the frontier as the hardware evolves.
We've built a repeatable managed model for production quantum — and it travels. Whether you're a research institution or an enterprise exploring QPU workloads, anywhere in the world, the operating playbook is ready to extend to you.
Thinking about quantum? Talk to a partner who's already in production.
Whether you're planning research workloads or exploring what quantum could mean for your organisation, we've built the operating model to make it real. Full confidentiality.
Frequently asked
Questions, answered.
Does Cloud.in actually operate quantum workloads?
Yes. Cloud.in is the first partner in India to operate a customer's production QPU workloads on Amazon Braket, live since March 2026, running on a 108-qubit Rigetti Cepheus device with access to IonQ, QuEra and IQM hardware.
What does Cloud.in's quantum managed service include?
It includes a managed layer the platform does not offer natively: minute-based consumption billing, custom monitoring dashboards, centre-wise governance reporting, advance QPU reservation, secure result handling, ITIL-based support and simulator-first usage efficiency.
How does Cloud.in keep QPU costs efficient?
Teams validate and optimise circuits on AWS simulators (SV1, DM1, TN1) before any hardware run, so premium QPU time is spent only on validated, optimised work.
Can Cloud.in run quantum workloads outside India?
Yes. The managed model is repeatable and travels — it can extend to research institutions and enterprises exploring QPU workloads anywhere on Amazon Braket.