Five Real-World Desks — QPC on IBM Quantum

The idea in plain terms

Many important decisions are not one number. They mix goals that pull against each other — reliability vs carbon vs cost, efficacy vs safety, profit vs fairness.

The usual pattern optimizes each goal separately, then stitches answers afterward. That means more jobs, more waiting, and more glue — and the goals never interact during the quantum run.

QPC keeps those logics co-resident in one quantum job on today’s IBM Heron processors, with open data and inspectable results.

Desk 01

Energy · Power grid

Power Grid Nexus

Situation

Grid operators must balance reliability, carbon, and cost at once — goals that compete in every dispatch-style decision.

What QPC did

Froze a U.S. EPA eGRID balancing-authority panel and ran one IBM job with three co-resident logics: reliability · carbon · cost.

Why it matters

A problem every utility and energy planner already understands — without three separate tools glued later.

Usability

Shows QPC on multi-objective infrastructure decisions where rankings must respect all three pressures together.

Result (IBM Marrakesh): Completed desk · priority regions included PJM, BPAT, CISO.
Job ID: d9tp0bc98n5s7391tteg

Desk 02

Healthcare · Pharma

Polypharmacy Safety

Situation

A regimen is not one score: how well it works, how safe combinations are, and who the population is.

What QPC did

Used public OpenFDA FAERS safety data plus curated interaction flags; ran efficacy · safety · population together in one IBM job.

Why it matters

A second industry story — clinical safety — distinct from ordinary “pick the best molecule” demos.

Usability

Demonstrates QPC for healthcare tradeoffs where safety and population constraints must stay visible beside efficacy.

Result (IBM Marrakesh): Completed desk · top agents included levothyroxine, lisinopril, atorvastatin.
Job ID: d9tp2at35hes73fj0as0

Desk 03 · The advantage proof

Why one QPC job beats three

Most teams would run three quantum jobs (one per goal) and merge answers afterward. On the same grid problem, we measured that hybrid path against QPC’s single combined job — equal shot budget, same IBM Kingston backend.

3 → 1Quantum jobs (hybrid → QPC)

31 → 0Classical merge steps

~1.21×Hybrid wall-clock vs QPC

Hybrid jobs: d9tp5db43mgs73es1vh0, d9tp5dk98n5s7391u4eg, d9tp5ds98n5s7391u4fg
QPC job: d9tp5ic98n5s7391u4m0

Usability: Clearest process proof for buyers — fewer QPU jobs, no merge glue, faster turnaround on a real multi-logic task.

Desk 04

Finance · Risk & fairness

Fair Credit

Situation

Lending mixes profit, default risk, and fairness across groups. Optimizing only one creates blind spots.

What QPC did

Froze a public OpenML/UCI German Credit panel; ran profit · safety · fairness together on IBM Kingston.

Why it matters

Opens the conversation with banks, fintech, and risk teams who live in multi-objective decisions every day.

Usability

Shows QPC can hold commercial, risk, and fairness logics in one architecture pass — research desks, not automated credit decisions.

Result (IBM Kingston): Completed desk · ranked applicant segments under all three logics.
Job ID: d9tp8ss98n5s7391u8ig

Desk 05

Earth observation · Space

EO Tasking

Situation

When to point a sensor depends on cloud cover, mission priority, and energy budget — again, not a single score.

What QPC did

Used NASA POWER climatology at nine U.S. sites; ran cloud clearance · priority · energy together on IBM Kingston.

Why it matters

Shows the same QPC idea works beyond energy and pharma — into sensing and space-adjacent scheduling.

Usability

A template for tasking under weather, mission value, and resource limits in one co-resident quantum job.

Result (IBM Kingston): Completed desk · top sites included Los Angeles, Miami, Phoenix.
Job ID: d9tp9ek98n5s7391u94g

Which desk fits your world?

If you care about…	Start here
Energy, carbon, grid operations	Power Grid Nexus
Drug safety / regimens	Polypharmacy Safety
Fewer jobs, less glue, clearer process	Organizing comparison (Desk 03)
Lending, risk, fairness	Fair Credit
Satellites / sensing schedules	EO Tasking

NVIDIA hybrid stack

Job N1 expresses the same organizing idea on NVIDIA CUDA-Q (hybrid orchestration / simulation) with IBM Heron public job IDs as QPU verification — the missing cooperation story for the NVIDIA quantum ecosystem.

Open QPC × NVIDIA CUDA-Q →

Next step

Pick one of your own multi-goal decisions. We freeze a small open or partner dataset, run a bounded IBM desk, and return rankings plus a clear comparison against “three separate jobs + merge.”

You bring the decision. We bring the architecture.

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