Quantum

The universe is more connected than we have words for. Quantum is the first grammar for it.

Most “quantum wins” today are quantum-inspired classical methods that run on ordinary hardware, and real quantum advantage is narrow and years from routine. So we frame hard problems the quantum way, solve them with what runs today, and benchmark every result against a strong classical baseline.

See what wins today Talk to our quantum team

Illustration: the same stops routed before and after optimisation, the kind of routing problem we reformulate for quantum-inspired solvers.

Problem classes: Routing, scheduling, allocation, sampling
Formulation: QUBO / Ising, constraint encoding
Benchmark: Every result against a strong classical baseline
Lab record: EXP-06 Quantum × AI, frontier research

Frame first. Win today.

AI-generated illustration of a quantum computer. REKA does not claim to own this machine or to have achieved a quantum-computing result.

Frame first

We teach the problem to speak quantum before asking the hardware to solve it. Most quantum value lives in the formulation, not the machine. Cast your hard optimisation or modelling problem in quantum-ready form and the insight arrives now, on today’s hardware.

Win classically today

Many of the so-called quantum wins in production are quantum-inspired classical solvers: annealing-style and tensor-network techniques running on ordinary hardware. Real results this quarter, without waiting for the hardware.

Honest horizon

We will not sell you a timeline that does not exist. True quantum advantage is narrow and years from routine. We tell you plainly where the hardware is, what it can and cannot do today, and how to prepare rather than how to pretend.

Prepare now

Post-quantum cryptography is a today decision. Harvest-now-decrypt-later risk is real: encrypted data stored today can be decrypted when large quantum machines arrive. We assess exposure and plan the migration before the threat is immediate.

Seth Linton, REKA’s Systems Cartographer, scanning

Quantum vs the honest alternatives.

Pick a problem class to read where practical advantage sits today: classical, quantum-inspired, or true quantum. This is our directional read of the field, not a benchmark suite, and it will change as hardware matures.

AI-generated illustration of a gloved researcher weighing a sealed material sample; this is not an actual REKA experiment or result.

Classical	Quantum-inspired	Quantum today
Good fit	Good fit	Not yet
Sometimes	Sometimes	Sometimes
Good fit	Good fit	Not yet
Good fit	Good fit	Not yet

From bottleneck to solution.

A disciplined pipeline, not a science experiment. We only reach for quantum once the problem is framed and a classical baseline exists to beat. If classical wins, we tell you, and ship the classical solution.

AI-generated illustration of a distribution-depot scheduling bottleneck; this is not an actual REKA or client result.

FrameFind the real optimisation buried in your operation
FormulateObjectives and constraints as a QUBO / Ising model
SolveAnnealing, gate-based and quantum-inspired solvers
Hybrid loopClassical and quantum stages working together
ValidateBeat the best classical method, or stop
DeployWire the winning approach into your workflow

Where this research stands.

Quantum is the Lab’s most experimental frontier, housed in REKA’s Heuristik division and run as applied research and advisory. It is also the least isolated: the same optimisation that quantum methods sharpen sits inside our autonomous fleet routing work.

AI-generated illustration grounded in photographs of REKA’s main hall. Fictional researchers compare two formulations of the same route problem using classical computing; not a published benchmark or quantum-hardware claim.

ID	Experiment	The question	Where it stands
EXP-06	Quantum × AI Quantum · OptimisationFrontier	Can quantum-inspired optimisation methods outperform classical solvers on the routing, allocation and scheduling problems already present in our product domains, before quantum hardware is required?	The method is reformulating known hard problems as QUBO or Ising models and solving with quantum-inspired classical solvers, proving value on our existing baselines. The hardware question comes after the formulation question.

Now · usable

Quantum-inspired wins

Reformulate and solve hard optimisation and modelling problems with quantum-inspired classical methods. Begin post-quantum cryptography planning. Results this quarter, not next decade.

Near · 3–7 years

Narrow hybrid advantage

Specific structured problems in simulation and optimisation begin to favour hybrid quantum-classical approaches. This is the most credible early-advantage window.

Far · the bet

Fault-tolerant scale

When error-corrected machines arrive, the organisations that framed their problems early will move first. We are getting clients ready for that moment, not selling it as imminent.

Connects to Autonomous Driving

Fleet routing and scheduling are exactly the kind of combinatorial problems where quantum-inspired methods are worth testing against the best classical solvers.

Verified milestones.

What we can point to today, each with its source or the person who confirms it. Quantum is the Lab’s youngest frontier, so the honest list is short.

2022
Quantum study with MIT xPRO
REKA’s co-founder completed two MIT xPRO online courses: Introduction to Quantum Computing (January to February 2022) and Quantum Algorithms for Cybersecurity, Chemistry and Optimization (March 2022).
Confirmed by REKA
Apr 2023
Quantum.Tech APAC 2023, Singapore
The co-founder attended the conference on 4 and 5 April 2023 at the Equarius Hotel, Sentosa, and recalls being among the only attendees from Malaysia. He also attended a workshop on dual-use quantum IP, including defence applications, as a participant only: REKA has no defence partnership.
Confirmed by REKA
Lab record
EXP-06, Quantum × AI
A frontier experiment asking whether quantum-inspired optimisation can beat classical solvers on routing, allocation and scheduling, before quantum hardware is needed.
Source: the Lab’s experiment record
Documented
Method
Formulation first, a classical baseline always
Problems are cast as QUBO or Ising models and every result is measured against the best classical method. If classical wins, that is the answer.
Source: the method on this page
Documented
Advisory
An honest quantum assessment
Offered as an add-on to consulting work: whether quantum, quantum-inspired or plain classical methods fit the problem in front of you.
Source: Consulting
Documented

What we do not claim

REKA has not built a quantum computer, has not deployed a quantum solution for a client and has not measured a quantum advantage. Our work here is research, readiness and advice.

Documented: a source you can open. Confirmed by REKA: stated by REKA’s co-founder, who took part; supporting documents to follow.

Methods & tooling.

This work runs on classical hardware. REKA has no quantum hardware of its own.

AI-generated illustration grounded in photographs of REKA’s main hall. Fictional researchers arrange blank job cards into a physical scheduling model beside protected prototype hardware; not an actual client session or result.

Problem classes: Combinatorial optimisation · scheduling · routing · allocation · sampling
Formulations: QUBO · Ising · constraint encoding · penalty tuning
Quantum solvers: Quantum annealing · gate-based (QAOA / VQE) on simulators
Quantum-inspired: Simulated / digital annealing · tensor networks · classical metaheuristics
Frameworks: Qiskit · Ocean-style toolchains · hybrid orchestration
Validation: Benchmarked against strong classical baselines, time-to-solution & quality
Engagement: Applied research & advisory, scoped as a paid discovery sprint