Doha, Qatar  ·  Quantum systems engineering

Quantum-safe infrastructure
and quantum-scale optimization.

Attackers store encrypted traffic today to break it later. We find where your cryptography lives and move it to post-quantum standards. We also build the quantum and hybrid systems for optimization work your current solvers cut short.

Standards
FIPS 203 / 204 / 205
Methods
QAOA · VQE · QUBO
Runtime
Hybrid quantum-classical & HPC

§ Two deadlines

One · exposure

Traffic captured today opens later.

Attackers already collect encrypted traffic and archive it. When a quantum computer capable of breaking RSA arrives, that archive opens. Anything you need kept confidential into the 2030s is exposed the moment it crosses the wire: patient records, contract terms, infrastructure telemetry, long-lived signing keys.

Most teams can't answer the first question. Where is our cryptography?

Two · advantage

Your solver stops before it finds the best answer.

Cargo scheduling, network capacity, portfolio construction, crew rostering, yard allocation. The search space in each grows faster than the hardware can cover it, so your solver returns something workable and quits. That gap costs money, and quantum and hybrid methods are built for it.

Formulating the problem correctly is most of the work.

§ Practices

P—01

Quantum-Safe Cryptography

We find your cryptographic dependencies, rank them by exposure, and migrate them to post-quantum standards without downtime.

  • Cryptographic bill of materials across code, certificates, protocols and hardware
  • Exposure modelling by how long each dataset has to stay confidential
  • Crypto-agility architecture, so the next algorithm change is a config change
  • Hybrid key establishment and staged migration with rollback
  • PKI modernisation, certificate lifecycle and signing infrastructure
  • Quantum key distribution and QRNG entropy validation for defence-grade links
  • ML-KEM · FIPS 203
  • ML-DSA · FIPS 204
  • SLH-DSA · FIPS 205
  • X25519MLKEM768
  • HQC
  • QKD · BB84 / E91
  • QRNG · SP 800-90B

P—02

Quantum Algorithms & Optimization

Most quantum projects fail at the formulation stage. We take an operational problem, encode it, and benchmark against the classical solver you run today.

  • Problem encoding into QUBO and Ising form, with constraint and penalty tuning
  • Variational algorithm design: QAOA, VQE, application-specific ansätze
  • Annealing, gate-model and physics-inspired solvers compared side by side
  • Circuit synthesis and depth reduction for real device topologies
  • Error mitigation, noise characterisation and result post-processing
  • Benchmarking against classical and heuristic solvers, documented for your team
QAOA · one layer, three qubits
COST LAYER · exp(−iγH) MIXER q0 q1 q2 H H H RZ(2γ) RZ(2γ) RX(2β) RX(2β) RX(2β)

Hover any gate for what it does, or run the circuit to step through execution order.

Ising model · the problem the circuit is solving
+1 +1 −1 +1 −1 +1 s₁ s₂ s₃ s₄ s₅

  • QAOA
  • VQE
  • QUBO / Ising
  • Grover
  • Amplitude estimation
  • Tensor networks
  • Digital annealing

P—03

Quantum Machine Learning

Quantum feature spaces help when your data resists classical separation. We test whether that holds for your data before building anything.

  • Quantum kernel methods and quantum support vector classification
  • Variational classifiers and parameterised circuit models
  • Data encoding strategy: amplitude, angle and feature-map design
  • Hybrid pipelines with the quantum layer inside a classical model
  • Trainability and barren-plateau analysis before you commit budget
  • Anomaly detection for network and infrastructure telemetry
ZZ feature map · encoding two data points
ENTANGLING BLOCK · φ(x₀,x₁) q0 q1 H H P(2x₀) P(2x₁) P(2(π−x₀)(π−x₁))

The quantum part produces a kernel matrix. Everything downstream stays classical.

  • Quantum kernels
  • QSVC
  • VQC
  • Feature maps
  • Hybrid autoencoders

P—04

Hybrid & HPC Engineering

Quantum workloads need a classical system around them. Simulation, orchestration and data movement decide whether the result reaches production.

  • GPU-accelerated state-vector and tensor-network simulation at scale
  • Hybrid orchestration across quantum backends, clusters and cloud
  • MPI and multi-node distribution for variational loops
  • Classical solver acceleration when that outperforms the quantum route
  • Backend-agnostic abstraction, so no single vendor's hardware locks you in
  • Cost, latency and throughput modelling before deployment
Variational loop · where the classical work actually happens
optimiser CPU / GPU bind + transpile θ → circuit QPU / sim shots → counts EXPECTATION VALUE RETURNS TO THE OPTIMISER · REPEAT UNTIL CONVERGED

Most of a variational algorithm is classical. Budget your engineering accordingly.

  • CUDA-Q
  • Qiskit
  • PennyLane
  • MPI / SLURM
  • cuQuantum

§ Two ways to work with us

Build

Development

Software we write and hand over: quantum algorithms and QML models, PQC integration, enterprise applications, data platforms and AI systems.

  • Quantum software and hybrid pipelines
  • Post-quantum cryptographic implementation
  • Enterprise, web and mobile applications
  • Data engineering and applied AI

Development services

Assure

Services

Work that produces findings, evidence and certification rather than code: assessment, testing, audit and advisory.

  • PQC readiness and cryptographic inventory
  • Penetration testing and red teaming
  • ISO 27001, SOC 2, PCI DSS, GDPR
  • Training and technical advisory

Assurance services

§ Where this applies

§ How an engagement runs

  1. 01

    Assess

    Six to eight weeks. We map your cryptographic estate or the target optimisation problem and deliver ranked, costed findings. The output is yours whether you continue or not.

  2. 02

    Design

    A migration architecture or solution design, with a classical baseline and success criteria agreed before work starts. We also tell you what we expect to fail.

  3. 03

    Build

    Production increments measured against the stage-two criteria. Your engineers work alongside ours so your team can run the result without us.

  4. 04

    Operate

    Monitoring, reassessment as standards change, and handover. Done properly, your next migration is a config change.

Get in touch

Start with a cryptographic inventory.

It takes weeks and tells you how exposed you are. If optimization is your interest instead, bring us the problem your solver keeps cutting short.

Doha, Qatar