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The World's Most Advanced Datasets

We Banished the Target Hamiltonian.

Not snapshots — connected histories. NMC811-IQ traces quantum microstate trajectories across charge and discharge. MagNet-IQ provides the process for NdFeB manufacturing, from green powder to finished magnet. These datasets are available for validation to qualified US entities. Request access to inspect the microstates and review the validation protocols.

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The Fault-Tolerant Trap

The quantum computing industry is spending billions to build fault-tolerant hardware. We believe they are solving the wrong problem.

For nearly a century, computational materials science has operated under one assumption: define the Hamiltonian, define the search space, and compute toward an answer. The result has been an endless series of increasingly sophisticated snapshots.

Better cameras. Faster cameras. More expensive cameras. Still cameras.

At IQ Intel, we made a different decision. We banished the target Hamiltonian. That choice will make some physicists uncomfortable. That’s fine. Before debating methodology, look at what the approach actually produces.

Fault tolerance improves scale, error rates, and execution speed. It does not change the fundamental question being asked. It only changes how quickly you can ask it. Most simulations still begin by defining a target energy landscape and then exploring within it. The destination is specified before the journey starts. The output remains a collection of states drawn from a predefined mathematical space.

Instead of optimizing for isolated states, we generate continuous, lineage-connected trajectories. Not snapshots—histories. Not endpoints—processes.

Industrial Data Assets

Two Fundamentally Different Operational Tracks

Track 1: Operational Cycles

NMC811-IQ Reference Dataset

When modeling NMC811 cathodes through the H1→H2 transition during charge and discharge, conventional workflows typically require researchers to reconstruct behavior from disconnected snapshots and infer what happened between them.

Our datasets preserve the trajectory itself. The lattice evolves continuously under realistic operating conditions, generating connected state histories across the full charge-discharge cycle.

To test the integrity of these trajectories, we ran six completely independent quantum circuit families across the same state space. No regression fitting was applied between the models. All six converged on the same transition region with a maximum lithium deviation of ≤ 0.49%.

Download NMC811-IQ Validation Technical Brief →
Track 2: Manufacturing Process Chains

MagNet-IQ Reference Dataset

A real sintering furnace does not contain a target microstructure, and a furnace operator does not enter quantum matrix elements. They adjust heat, atmosphere, and dwell time, and the material responds according to the laws of physics.

MagNet-IQ is built on that principle. Starting from a single lattice state representing green-compact powder, the simulation proceeds through a complete manufacturing sequence by adjusting external forcing—exactly as a real furnace operator would.

  • Powder Preheat (~340–380°C): Onset of magnetic disordering near the Curie boundary.
  • Sintering (~1010–1040°C): Collapse of ferromagnetic order well above Tc.
  • Cooling and Recovery: Magnetic reemergence through the Curie transition, reproducing the critical-scaling behavior reported in atomistic literature.

The result is one continuous chain of 711 connected microstates spanning the entire arc, each carrying 15 concurrent observables.

Download MagNet-IQ Validation Technical Brief →
Why trust this?

Validation by convergence.

One architecture. Six quantum circuit families. The same transition.

This is not 2-3 properties following a line, it is 16-19 properties moving collectively along the line. All 6 quantum circuit families confirms the same transition.

A result that depends on how it was computed is a weaker result. NMC811-IQ’s H1→H2 transition isn’t checked by a single circuit family — it’s checked by six, each generated from the same underlying architecture, each independently agreeing on where the transition sits and how the system moves through it.

Across a sixteen-rung window covering the H1→H2 transition (ΔLi = 0.01 per rung, 15–35% SOC), the ballistic-transport seam backbone is cross-checked against five additional families. All six from one architecture. All eighty cross-checks agree with the seam backbone.

Six different circuit families asking the same physical question and getting the same answer six times. Approved US entities can request access to watch the seam-backbone trajectory move into through the H1→H2 transition the six-family comparison covers.

6 from 1 circuit families from one architecture
16 / 16 rungs covered (ΔLi 0.01, 15–35% SOC)
80 / 80 cross-checks pass vs. seam backbone

NMC811-IQ — cross-family validation

Validated at the level of its output: the observables and connected trajectories the dataset publishes. Four orchestrated phases on partner master seams (1–99% lithiation, charge and discharge) — observable reproducibility, structural-transition positioning, ion-mobility behavior, and charge/discharge symmetry. Shape and mirror checks run before position scoring.

Tier / phase Role What it checks
A — Shape & mirror Gating Correct transition shape in the regime window on both trajectories; charge/discharge co-location
Phase 2 Structural turnover High-SOC H1→H2 turnover with rise/fall character inside the expected window on both trajectories
Phase 3 Mobility proxy Independent mobility analysis co-locates with Phase 2; null control must fail
Phase 4 Recompute integrity Published observables reproduce from source states within tight tolerance
B–D Informational Regime attribution, position vs literature center (~70–75% SOC), axis audit

Claimed: structural turnover on both delithiation and lithiation at literature-associated lithium content; mobility and structural analyses co-locate; observables reproduce from source states; charge/discharge mirror within 0.004 Li fraction.

Not claimed: blanket “matches experiment”; full structural-turnover reproduction on public viewer segments alone (transition window sits between the two open SOC ranges — partner master seams required).

NMC811-IQ Validation Reference (PDF) →

MagNet-IQ — NdFeB public seam validation

Same design principle: shape and direction before position; null controls that should not pass. Roughly 14 numeric measures plus a classifier label on the public seam — checkable from published frame data without disclosing the SaC architecture.

Tier Role Examples
A Gating Mean |φ| / ⟨σz⟩ vs Tc; Curie–Bloch reemergence (β≈0.42)
B Consistency & nulls |⟨σ⟩|, fdom track order; staggered M and ⟨σx⟩/⟨σy⟩ do not show Tc rise
C Algebraic integrity z↓ fraction, ordering strength vs ⟨σz⟩
D Informational ξ, ⟨H⟩ derivative, defect radius, compaction, regime label

Claimed: primary order-parameter direction through each stage vs Nd2Fe14B Tc; critical-scaling reemergence shape; cross-measure consistency; null controls for antiferromagnetic and transverse components.

Not claimed: extrinsic properties (coercivity, remanence, BHmax); spin-reorientation below manufacturing temperatures; finishing stages beyond B reemergence (partner access).

Public seam: P-series → A preheat → A heat → B reemergence (444 frames). Full 711-frame run under partner access.

MagNet-IQ Validation Protocol (PDF) →
Purpose

Capabilities proven on real materials. Reference data you can inspect.

These repositories exist to show what IQ Intel delivers across disparate material science domains — and will make the datasets available to any qualified US entity to validate pre-engagement. NMC811-IQ and MagNet-IQ share almost no physics in common; they share the same engine, schema, validation discipline, and dashboard viewer.

The available databases

NMC811-IQ — connected cathode microstates across charge and discharge. Four complete seams (two lithiation, two delithiation); public windows at 10–25% and 60–75% SOC; up to 19 observables per frame; cross-family validation across six quantum circuit families on the H1→H2 transition.

MagNet-IQ — connected NdFeB manufacturing microstates from green-compact powder through reemergence. 444 public frames on a single seam (P0–B); 711 frames through field anneal under partner access; process-step catalog and tiered validation protocol on the public prefix.

What they demonstrate

The benchmark home is not a catalog alone. Each dataset is evidence that Subatomic Computing can produce connected, trajectory-resolved material data on problems conventional benchmarks treat as disconnected snapshots — phase behavior on a cathode, order-parameter evolution through a furnace line, path dependence across charge direction or process history.

The same capabilities extend to partner work: custom microstate trajectories on your chemistry, targeted defect profiles, and performance questions at scales and detail levels unattainable through conventional or quantum methods alone. The open range here is the reference; the validation protocols above are the standard both datasets meet.

Flat benchmarks ask you to infer motion between points. These datasets show motion: each microstate is the direct downstream evolution of the last. Load a seam, scrub frame by frame, and read the observables at every step — lithiation fraction, manufacturing stage, charge direction, and lineage included.

Dashboard viewer showing a connected seam played back frame by frame, with observables resolved at each microstate.
Dashboard viewer. NMC811-IQ and MagNet-IQ seams play back frame by frame with lattice visualization and live observable charts — the same inspection surface for both domains.

Two material systems today; the architecture is domain-agnostic. You can see how each dataset was validated, and request access when you are ready for hard validation or would like a dataset built for your stack.

Access

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Ready to look at the data

Researchers and program evaluators are welcome to request access. Validation protocols are linked above; access to the full dataset is a verification away.