Quantum Readiness
Screening of in-house use cases, analysis of quantum advantage potential and preparation of a roadmap.
A U2 AI Studio venture
In quantum, value begins at the software layer.
U2 AI Quantum runs algorithm and software R&D in combinatorial optimisation, quantum machine learning and quantum sensing. Every solution is measured against classical reference methods and reported transparently.
Energy landscapeANNEALING
01
Algorithm & software layer
We do not build hardware. We formulate the problem, solve it and benchmark it.
02
Hardware-agnostic
Technology evaluation through cloud-based QPU access, with no vendor lock-in.
03
Evidence-led
Every quantum and quantum-inspired solution is measured against classical reference methods and reported.
Working areas
Six disciplines, one standard: measured results.
From readiness assessment to in-house training, every engagement ends with a benchmark and a transparent report.
Combinatorial Optimisation
QUBO/Ising formulation of problems; solving with QAOA/VQE and quantum-inspired solvers such as annealing and tensor network methods; benchmarking against classical reference methods.
Quantum Machine Learning Feasibility
Applicability studies with hybrid classical-quantum models and quantum kernel methods.
Benchmarking & Technology Evaluation
Hardware-agnostic benchmark studies and technology evaluation reports through cloud QPU access.
Quantum Sensing: Data & Algorithm Layer
Signal processing, noise suppression and calibration for quantum sensor outputs; quantum-classical sensor fusion; navigation support algorithms for GNSS-denied environments; system-level performance modelling and simulation.
Training Programmes
In-house quantum computing training programmes for engineering teams.
Example problem classes
Problems we work on
The following are examples of the problem classes we work on; each is first addressed together with a classical reference solution. These are sector examples, not customer references.
PC-01
Scheduling & shift planning
Manufacturing, operations
PC-02
Route & fleet optimisation
Logistics
PC-03
Resource allocation & task planning
Defence & aerospace, energy
PC-04
Portfolio & decision optimisation
Finance
PC-05
Navigation support in GNSS-denied environments
Sensing side
How we work
Four stages, from discovery to scale
STAGE 01
Discovery & Readiness
2-4 weeks
Scenario screening, data and problem inventory, prioritisation, roadmap.
STAGE 02
Feasibility & PoC
4-8 weeks
QUBO/Ising formulation, solver selection, small-scale experiments, classical baseline setup.
STAGE 03
Pilot
8-12 weeks
Pilot study with real data, benchmark report, integration plan.
STAGE 04
Scaling & Training
Continuous
Production support, in-house team training, continuous evaluation.
Durations are representative.
Working model
Blended teams: industry practice plus university research
We run our work with blended teams: our own computational science and AI staff, joined by project-based experts from university quantum technology research groups. This structure allows pilot-scale studies to start on short notice.
Our team includes a member who has previously run an enterprise-level quantum computing programme. We are open to joint R&D and consortium collaborations in TÜBİTAK and Horizon Europe calls.
Evidence-led approach
Every claim is supported by a benchmark against classical reference methods.
Hardware independence
Cloud QPU access; no dependency on a single vendor.
AI & computational science foundation
Built on the U2 AI Studio ecosystem's experience in AI, optimisation and decision support.
Blended team model
Industrial engineering practice combined with university quantum research groups.
FAQ
Straight answers
No. We work hardware-agnostic; experiments run through cloud-based QPU access.
No. In the readiness and feasibility stages we measure where the potential lies. In many cases quantum-inspired classical methods give better results today, and we report that transparently as well.
Gate-based and annealing platforms accessible through the cloud; evaluations are carried out hardware-agnostic.
We do not offer a product or service under this heading; our contribution can only be on the network modelling and performance simulation side within a joint R&D study.
Work is carried out under a non-disclosure agreement; the data sharing model is defined together at project start.
Contact
Request a Quantum Readiness Assessment
Let's screen your use cases together; we will present a tailored roadmap and a sample study plan.
- info@u2aistudio.com
- Phone
- +90 (850) 346 82 82
- Response time
- Within 2 business days · Weekdays 09:00-18:00 (TRT)