The novelty: Quantum Polycontextural Computing (QPC) is grounded in polycontextural quantum logic. Several business contexts co-reside on one IBM Heron circuit, interact through transjunction bridges, and return as a single gate-native job — with auditable IBM Quantum job IDs.
Most multi-objective quantum work today is still classical at the core: objectives run one at a time, jobs merge in software, or the problem is split because the chip cannot hold the whole structure. QPC is a different computation model — the plurality of the real world stays inside the quantum computation itself.
How QPC reports results — two lanes
QPC publishes two complementary result types. Each answers a different question; both use polycontextural circuits on IBM Heron with auditable job IDs.
Lane A · Topology Certificate
Question: Does coupled polycontextural wiring show up in raw hardware?
- Metric: inter-context correlation (ICC) vs separable multi-job and intracontext controls
- Reporting: raw IBM measurement counts · pre-registered pass bar · public job IDs
- Examples: Joint Structure Challenge · MCGS
Lane B · Industry pilots (this page)
Question: What business outcome does polycontextural execution deliver?
- Metric: domain score — portfolio, congestion, premium — via a declared problem decoder on quantum samples
- Reporting: one coupled Heron job per task · customer meaning · IBM job IDs below
- Examples: Cerrado · Traffic · Allstate (three pilots on this page)
Architecture witnesses (Lane A) and industry scores (Lane B) are separate claims. ICC measures coupling structure, not portfolio quality. Industry headlines use the decoder named on each pilot page — not the architecture ICC metric.
Why this matters for customers
Real tasks carry several narratives at once — carbon and biodiversity, North zone and South zone, premium and risk. QPC encodes each narrative as a contexture: a distinct quantum logic block that still belongs to one computation. That universality is what makes QPC applicable across industries without reducing every problem to a single blended formula.
Three pilots on ibm_fez (156-qubit Heron)
1 · Cerrado ESG portfolio
Choose 28 municipalities from 88 in Brazil’s Cerrado — carbon, biodiversity, and social impact together, on open real-world data.
QPC outcome: portfolio score 44.419 — a concrete municipality selection that delivers the published ESG metric.
Cerrado report →2 · Beijing traffic
Assign taxi routes across a multi-zone road network so fewer links become overcrowded.
QPC outcome: 2 congested roads — smoother flow across zones from one coupled quantum run.
Traffic report →3 · Insurance portfolio
Select policies to maximize premium while respecting chance constraints on expected loss.
QPC outcome: premium 578.10 under the risk budget — an insurance book plan from one Heron job.
Allstate report →1 · Cerrado — carbon, biodiversity, and social impact in one quantum run
The task is land-use planning: pick 28 municipalities out of 88 in Goiás so carbon storage, biodiversity protection, and social benefit rise together — including how neighboring towns help or hinder each other (Ribeiro et al., arXiv:2602.09047).
What other quantum workflows typically do: collapse the three goals into one weighted formula, or run carbon / biodiversity / social as separate quantum jobs and merge answers in classical software. The business logic never truly cohabits on the chip.
What QPC does: three objective contextures co-reside on IBM Heron, coupled by transjunction bridges,
in one gate submission. On the full 88-municipality instance, QPC produced portfolio score
44.419 (job d94mmrnu62ks73967jh0).
What 44.419 means: not an abstract energy number — the published Cerrado portfolio metric for a
specific selection of 28 municipalities that jointly delivers carbon–biodiversity–social value.
A decision a sustainability team can act on, from polycontextural quantum execution on production Heron
(156-qubit flagship job d94lljsql68s73c9mq50).
2 · Beijing traffic — zones that agree in one quantum job
The task is mobility planning: assign routes so fewer roads become overcrowded — the problem class Volkswagen and D-Wave published for Beijing T-Drive (arXiv:1708.01625).
What other quantum workflows typically do: partition the city into subproblems, stitch solutions with classical loops, or solve zones in sequence and merge in software — network logic fragmented before hardware.
What QPC does: three geographic zone contextures interact at shared road segments through quantum
couplings on a full 156-qubit layout, in one Fez submission. QPC returned
2 congested roads (job d94mqdsql68s73c9o2gg).
What 2 congested roads means: the business KPI — how many network links are overloaded under the chosen routes. A low count means smoother traffic flow: vehicles received route plans that keep the multi-zone network working as one system, from a single polycontextural quantum run.
3 · Insurance portfolio — premium, risk, and constraints together
The task is portfolio selection under uncertainty: grow premium while respecting chance constraints on expected loss — the problem class Allstate and IBM published for IBM Heron (arXiv:2605.01169).
What other quantum workflows typically do: premium, risk, and constraints live in separate layers — staged jobs or classical post-filters around a quantum kernel. The insurance narrative is assembled after the quantum step.
What QPC does: premium, primary risk, and multi-constraint logics run as parallel contextures on
156 qubits, coupled in one submission. QPC returned premium score
578.10 (job d94nfuuvtlqs73fuhkj0).
What 578.10 means: the portfolio premium the selection earns under the risk budget — which policies to write, maximizing revenue while staying inside the loss tolerance, from one polycontextural quantum job on production Heron.
What QPC uniquely enables
- Quantum logic on the chip — contextures interact in the quantum run, not only in classical software after readout.
- One submission per multi-block task — ESG, mobility, and insurance all ran as full polycontextural jobs on IBM Heron.
- Business-shaped outcomes — municipality portfolios, congestion counts, premium under risk — results a decision-maker can read.
- Auditable IBM job IDs — the novelty is demonstrated on production hardware.
Where other quantum paths lean on classical merging, partitioning, or single-formula compression, QPC keeps multi-context structure inside the quantum computation — a new way to compute in the quantum world.