A Governed Path From Quantum Question to Quantum Return.
Quantum is not one technology on one timeline. Quantum sensing is commercially deployed today. Quantum-safe security runs on published regulatory deadlines that do not move. Fault-tolerant quantum computing, the largest prize of the three, is projected toward the end of this decade. The economic consequence is that a manufacturer has to capture value from what is already available, meet deadlines that are already fixed, and build the capability for what is still coming, on three different clocks at once. The LFI framework sets the order that work runs in, four stages, each answering its own economic question, each gated by evidence, and each carrying a cost for every year it is deferred.
The Economics
What the Journey Is Worth
A fully governed ten-year quantum journey models out at a value-to-cost multiple of 8.7 times, with payback inside three years. Those are ratios rather than totals, so they hold their shape across company sizes instead of describing one company's balance sheet. Read the horizon carefully: this is a ten-year model, not a this-year one. The value accrues incrementally as the technologies mature, weighted heavily toward the back half, and the work that determines how much of it you capture happens at the front.
Modeled value-to-cost multiple across the full ten-year journey
Modeled payback period
Share of the total prize lost for each year Security and Utility work sit deferred together
Where the value sits, as a share of the ten-year journey
| Stage | Share of journey | What it is |
|---|---|---|
| Readiness | No direct modeled value | The stage that makes the other three legible. It produces the baseline every later number depends on, which is why it is first, and why it is the cheapest mistake to skip and the most expensive one to have skipped. |
| Security | About 15% | The entry fee. Non-discretionary, externally scheduled, and frequently mistaken for the destination. |
| Utility | About 28% | The operational return. Margin recovered where classical methods have hit an economic ceiling, whether that ceiling is computational or the physical limit of a conventional instrument. |
| Advantage | About 57% | The largest share by a wide margin, and the one that compounds rather than resolving. |
Modeled and illustrative. Base case: Tier 2 advanced manufacturer, specialty materials and chemicals archetype. Source: LFI Quantum Value Model, 2026. Modeled projections, not benchmark data.
The gate
Security is roughly a seventh of the journey. A manufacturer who certifies, files the certificate, and stops has paid the entry fee and declined to walk through the door it unlocked, forfeiting about 85 percent of the modeled prize. This is the most common and most expensive pattern in the model, and it is easy to fall into for a structural reason: certification has a deadline, a deliverable, and a board-visible completion date. The stages behind it have none of those, which is exactly why they need a governance function rather than momentum.
The Framework
Four Stages, Four Economic Questions
The stages are cumulative. Each produces the evidence the next one depends on, which is why they run in order and why skipping one usually costs more than it saves.
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Readiness
Know what quantum is worth to you, and what it isn't, before capital moves.
Readiness answers the first question a board should ask: does quantum touch our economics at all, and if so, where and by how much. It produces a baseline in your own revenue and margin rather than sector generalities, and it is equally valuable when the answer is not yet, because a documented not yet is what protects capital from a persuasive vendor pitch eighteen months from now.
Readiness carries no direct modeled value of its own. It is the stage that makes every other stage's value knowable.
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Security
Stop the compounding liability on data you already own.
Security is the one stage that is neither discretionary nor opportunity-driven, and its timing is set by regulators rather than by hardware. Long-lived proprietary data, designs, formulations, contracts, and supply chain records, holds value for decades while the encryption protecting it has a known expiry.
The scope runs wider than cryptography alone, covering how data moves between sites, suppliers, and connected equipment, which is where quantum-safe communications sits. Regulatory timelines are already published, so the cost of migration is largely fixed while the cost of delay is not. It is the entry fee for everything that follows.
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Utility
Capture margin classical methods leave behind.
Utility is where quantum stops being a risk conversation and becomes an operations one. It identifies the specific points in your process where classical methods have hit an economic ceiling, whether that ceiling is computational or the physical limit of what a conventional instrument can measure, models what solving them differently is worth, and delivers a defensible verdict, go, pause, or no go, before budgets commit.
This stage is where the maturity difference between the technology families matters most commercially. Quantum sensing is available now, so parts of this stage are executable this year rather than late in the decade. Computing-side value arrives incrementally through hybrid quantum-classical workflows that improve as processors do. No vendor in either family can produce the go or no go verdict honestly, because none has an incentive to tell a client when the economics do not justify deployment.
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Advantage
Build a cost base competitors cannot match.
Advantage is the stage most dependent on mature, fault-tolerant computing, currently projected toward the end of this decade, and it is the largest share of the modeled journey. It is also where the technology families converge, because a structural cost advantage is built from precision measurement, computation, and secure data movement working together rather than from any one of them alone.
That timing is exactly why it cannot be started when it arrives. Advantage is built from capabilities that compound, a manufacturing cost base, a supply chain position, trained people, and qualifications that accrue annually and cannot be bought quickly by anyone starting later. A manufacturer who waits for the hardware to be ready before building the capability to use it will meet a competitor who spent the decade preparing.
Timing
Why Timing Determines the Return
There is no single quantum timeline to wait for. A manufacturer runs three clocks at once, and deferral does not pause any of them.
of the modeled prize is lost for every year Security and Utility work sit deferred together.
Three families, three clocks
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Rolls-Royce
Running turbine design workloads on a 98-qubit processor, not waiting for a finished machine.
Detail
A multi-year agreement with Quantinuum, Riverlane, and the UK National Supercomputing Centre tests whether near-term quantum hardware can accelerate computational fluid dynamics for gas turbine design. The work moves deliberately from classical emulators onto physical hardware through hybrid quantum-classical workflows.
Publicly reported, July 2026
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Lockheed Martin
Building quantum-capable engineers internally. People, not hardware.
Detail
An internal Quantum Talent Pipeline takes engineers from mechanical and computer science backgrounds and equips them to work with quantum technologies. It is an investment in judgment rather than a technology purchase, which is the part that cannot be bought quickly later.
Publicly reported, 2026
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Sensing
Already commercial. Most operations have not mapped it against their own decisions.
Detail
Optically pumped magnetometers have decades of field deployment behind them in mineral exploration and geophysics, and atomic clocks are established commercial products in defense procurement. This is not preparation. It is available capability sitting unused.
Published readiness assessments, 2026
Three ways an ungoverned sequence destroys value
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Work paid for twice
One problem wearing two disguises, solved separately by two functions.
How it happens
Fragmented enterprise data and an incomplete cryptographic inventory look like separate problems owned by separate functions. Both are a missing unified view of your own systems, showing up as an optimization risk in one place and a compliance risk in another. Mapped once, in a single governed Readiness effort, that work pays down both.
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Value nobody claims
About 12% of the Utility stage sits at a seam three owners each assume a neighbor covers.
How it happens
Some of the strongest near-term applications sit at the intersection of three parts of an operation at once, where the data originates in one place, the systems that act on it live in another, and the computation happens in a third. Under siloed governance the value goes unclaimed by default, not through negligence but through reasonable owners each assuming coverage elsewhere.
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Decisions that gate decisions
A hardware commitment made in isolation constrains use cases that were never in its scope.
How it happens
The optimization applications elsewhere in your operation depend on that same processor. An architecture chosen without them in mind can delay or degrade returns that were never part of that decision's stated scope.
None of these are technology failures. All three are sequencing failures, preventable by a function whose job is to hold the order.