NHS Quantum
← Index/Project · NHS QuantumNo clinical claims · Emulator only
Secondary care — the constrained side

Hospital

The hospital's problem is not that it cannot treat people. It is that it cannot move them. Bed occupancy above the 85% safe threshold every year since 2010, and up to one in three beds holding a patient who is medically fit to leave, means that the acute system's scarcest resource is discharge, not clinical capacity. Everything else on this page is downstream of that.

Problems, sorted honestly

Bed and discharge flow

Combinatorial

Matching patients who no longer meet the criteria to reside against community and social-care placements over a rolling horizon.

Classical baseline
MILP assignment models and discrete-event simulation of patient flow; discharge-to-assess as the operational model.
Quantum relevance today
The flagship problem for this project. Clean QUBO form, exact classical optimum available at small instance sizes for benchmarking. Treated in full on its own page.

Elective and theatre scheduling

Combinatorial

Sequencing lists across theatres and surgeons subject to session length, kit availability, staffing and priority class, against an elective backlog.

Classical baseline
MILP and constraint programming, widely deployed. Commercial theatre-scheduling products exist and work.
Quantum relevance today
Structurally a QUBO but classically well served. A quantum method would need to beat a tuned CP solver on a realistic instance, which no published result does.

Diagnostic pathway sequencing

Combinatorial

Ordering tests across community diagnostic centres and acute imaging to minimise time-to-diagnosis under scanner capacity.

Classical baseline
Scheduling heuristics and simulation; capacity, not sequencing, is usually binding.
Quantum relevance today
Low. Worth stating because the 10 Year Health Plan expands community diagnostics substantially.

Single national formulary and ward stock

Combinatorial

Allocating stock across wards and sites under a national formulary, with shelf life, storage constraints and demand variability.

Classical baseline
Inventory theory and stochastic programming; automated dispensing systems already optimise at cabinet level.
Quantum relevance today
Low today. The formulary change is a policy simplification that reduces the combinatorial size of the problem, not increases it.

Molecular electronic structure

Combinatorial

Ground-state and excited-state energies for molecules relevant to drug action and materials.

Classical baseline
CCSD(T) and DMRG remain the reference for the molecule sizes anyone can currently run on quantum hardware.
Quantum relevance today
The one place on this page where quantum hardware has a credible long-run advantage, and the furthest from the ward. Demonstrated here on ethylene and H2.

Sources

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Arun Nadarasa · NHS clinician · research notebook, not clinical guidance