Quantum feasibility assessment
We map your problem to known algorithm families, estimate the qubits and circuit depth it would need, benchmark the best classical method and state whether quantum hardware is relevant now, later or not at all.
Service
Quantum computing solutions and post-quantum readiness
We help you separate what quantum computing can do today from what it may do later, and we help you prepare your cryptography for the part that is already certain.
The problem
Two different problems share the word quantum
The first problem is expectation. Leadership teams are asked for a quantum strategy, while current processors remain noisy and small. Machines with error-corrected logical qubits at useful scale do not exist yet. Many published speed-ups disappear when the quantum result is compared with a well-tuned classical solver given the same time budget.
The second problem is cryptographic, and it is current. Data encrypted today with RSA or elliptic-curve key exchange can be recorded now and decrypted later, once a large fault-tolerant quantum computer is available. NIST published its first post-quantum standards, FIPS 203, 204 and 205, in August 2024. Migrating a real estate of applications, devices and certificates takes years.
We address both. For computing workloads we give a sober feasibility verdict backed by experiments. For cryptography we build the inventory and the migration plan.
What we deliver
Quantum Computing sub-services
Each item can be contracted separately or combined into one programme of work.
Hybrid quantum-classical prototypes
Variational eigensolvers, QAOA, quantum kernels and variational classifiers, run on simulators and on cloud quantum processors, with error mitigation and an honest comparison against classical baselines.
Quantum-inspired and classical optimisation
When the assessment points to a classical answer, we deliver one: mixed-integer programming, simulated annealing, tensor-network methods or metaheuristics suited to the problem.
Post-quantum cryptography migration
A cryptographic inventory, prioritisation by data lifetime, hybrid key exchange in TLS, adoption of ML-KEM, ML-DSA and SLH-DSA, and measurement of the effect on handshake size and latency.
Quantum-safe communication assessment
An evaluation of quantum key distribution and quantum random number generators for your links, covering distance limits, trusted nodes, cost and how they compare with post-quantum algorithms.
Training and research support
Workshops for engineering teams, laboratory exercises for university courses, and reproducible experiments on real hardware for research groups.
Technologies and methods
Tools we use and how we use them
Quantum software is young and changes quickly. We keep experiments reproducible, so that results can be rerun when hardware or libraries change.
Software development kits
Qiskit, PennyLane and Cirq, selected by target hardware and by how the quantum part connects to a classical machine learning or optimisation loop.
Simulation
State-vector simulation up to roughly 30 qubits on a workstation, tensor-network simulation for shallow circuits on more qubits, and noise models taken from device calibration data.
Hardware access
Cloud access to superconducting, trapped-ion and neutral-atom processors through the providers' public programmes. No hardware purchase is involved.
Experimental method
Circuit transpilation and depth reduction, readout-error mitigation, zero-noise extrapolation, shot budgeting, checks for barren plateaus and statistical tests against classical baselines.
Post-quantum cryptography
The Open Quantum Safe liboqs library, OpenSSL 3.5 and later, hybrid certificates, and crypto-agile designs that allow an algorithm to be replaced without rewriting the application.
Industry use cases
Typical applications by industry
These are representative applications of this service. They describe the kind of work we take on, not past clients.
Telecom
Post-quantum migration of network management and subscriber systems, and evaluation of quantum key distribution for selected backbone links.
Healthcare and life sciences
Post-quantum protection for patient records with long confidentiality periods, and research-scale molecular simulation.
Manufacturing and logistics
Scheduling and routing problems benchmarked on classical, quantum-inspired and quantum solvers. With current hardware the classical solver usually wins, and we report that.
Government
Cryptographic inventory and a migration roadmap for systems that hold data with long secrecy requirements.
Universities and research labs
Quantum machine learning experiments with proper baselines, and teaching laboratories built on simulators and cloud hardware.
Engagement models
Four ways to work with us
Start at the level that matches your certainty about the problem.
Consulting
A feasibility assessment for a candidate workload, or a post-quantum readiness review of your systems.
Proof of concept
A hybrid algorithm prototype with benchmarks, or a pilot migration of one service to post-quantum key exchange.
Full build
A production optimisation service, classical or hybrid, or a managed cryptographic migration across applications and devices.
Ongoing support
Re-running benchmarks as hardware improves, tracking changes in standards and updating cryptographic libraries.
Delivery process
How a Quantum Computing project runs
Formulate
State the problem mathematically, identify its size and structure, and set the classical baseline.
Estimate
Calculate the quantum resources required and compare them with available hardware.
Experiment
Run the algorithm on simulators and hardware with mitigation, and collect enough runs for statistics.
Decide
Report results next to the baseline with a recommendation: proceed, wait or use a classical method.
Implement and track
Build the chosen solution and schedule a review as hardware and standards change.
FAQ
Quantum Computing questions
Will a quantum computer speed up our workload today?
For most commercial workloads, no. Current processors are limited by noise and qubit count, and well-tuned classical solvers are hard to beat. There are research areas, such as simulation of small quantum systems, where experiments are worthwhile. A feasibility assessment tells you which case applies to you.
When should we start post-quantum cryptography migration?
Start the inventory now. The standards have been available since August 2024, and the risk of recorded traffic being decrypted later applies to data sent today. Give priority to data that must stay confidential for many years and to devices that are difficult to update in the field.
Do we need to buy quantum hardware?
No. Simulators cover development and small experiments, and real processors are available through cloud services billed by use.
What is the difference between post-quantum cryptography and quantum key distribution?
Post-quantum cryptography is new mathematics running on ordinary computers, deployed through software updates. Quantum key distribution uses quantum states of light to exchange keys and needs dedicated optical hardware and links of limited length. For most organisations post-quantum cryptography is the main path, and quantum key distribution suits a small number of high-value links.
How do you judge whether a quantum result means anything?
We compare against the best classical method under the same time and cost budget, include hardware noise, repeat runs to obtain confidence intervals and examine how the result scales with problem size. A result that holds only on a toy instance is reported as such.
What does a feasibility assessment deliver?
A report containing the problem formulation, the resource estimate, classical benchmarks, experiment results where relevant and a recommendation with the conditions that would change it. The code and notebooks are included.
Related services
Work that often goes with Quantum Computing
Cybersecurity Solutions
Threat modelling, security testing, secure architecture and detection engineering for IT, cloud, IoT and industrial control networks.
Explore CybersecurityArtificial Intelligence & Machine Learning
Models for vision, language, forecasting and anomaly detection, built with reproducible training pipelines and deployed with monitoring.
Explore AI & Machine LearningLi-Fi-Based System Design & Development
Optical wireless links and networks for RF-restricted and security-sensitive indoor spaces, from link budget to installed access points.
Explore Li-Fi SystemsFurther reading: Where quantum computing is practical today
Need a clear answer on quantum for your organisation?
Tell us the workload or the systems you are concerned about. We will reply with the questions a feasibility or readiness study would answer.