01
Compact circuit seed
Starts from a QASM template or a small related circuit family, not a manually enumerated circuit for every target state.
Subatomic Computing
Hamiltonian-driven microstate discovery.
Proprietary computational datasets and models for material systems where conventional approaches are too slow, too shallow, or commercially inadequate.
What IQ Intel provides
Proprietary computational outputs, engineered for organizations that cannot afford to wait.
IQ Intel produces proprietary datasets and models for problems where conventional approaches are too slow, too shallow, or commercially inadequate. We engage selectively where the value of non-public technical output is high and the use case is clear.
Gate-model quantum computing remains powerful for probabilistic computation. Subatomic Computing is built for deterministic, Hamiltonian-guided state exploration — discovering how structured physical systems move through state space.
From compact QASM templates to emergent microstate trajectories.
IQ Intel starts with your material stack and the defects you care about. Together we derive the Hamiltonian, encode it in OpenQASM 2, and use our QASM extensions to evolve connected microstates. Post-processing stitches them into the full connected charge/discharge cycles we call seams, covering the full phase space the Hamiltonian defines.
02
Hamiltonian-guided emergence
Evolves the encoded system through physical variants to reveal reachable microstates and transition structure.
03
Trajectory-level output
Connects microstates into charge / discharge cycles, binding pathways, phase transitions, and movie-style visualizations.
Core advantage
IQ Intel is strongest where the objective is molecular and materials behavior: discovering how structured physical systems move through deterministic, Hamiltonian-governed state space.
What the data reveals.
A single material across its operating range moves through qualitatively distinct regimes. The SaC architecture surfaces that structure directly — not as inference from macroscopic measurement, but as the connected microstate evolution the system actually traverses.
Five-regime heatmap
Sanitized overview from current battery-track work. Observables shown qualitatively; transition-resolved data reserved for client engagements.
What is measured per microstate.
Each microstate along a trajectory is resolved against 19 measures — the quantities we report for every state, grouped by what they describe about the system.
Spatially-resolved measurements
Computational-basis bitstring
Per-site Z-basis occupation across the lattice; full spatial resolution.
X-basis bitstring
Per-site transverse-X projection; full spatial resolution.
Y-basis bitstring
Per-site transverse-Y projection; full spatial resolution.
Density snapshot ⟨ni⟩
Per-site density field.
Global order parameters
Magnetization ⟨σz⟩
Mean longitudinal magnetization across the lattice.
Staggered magnetization
Antiferromagnetic order parameter; signed sublattice difference.
Ordering strength
Scalar measure of antiferromagnetic-order quality; complementary to the signed staggered magnetization.
Transverse magnetization ⟨σx⟩, ⟨σy⟩
Mean X and Y spin components.
Bloch-vector magnitude |⟨σ⟩|
√(⟨σx⟩² + ⟨σy⟩² + ⟨σz⟩²).
Mean phase field ⟨φ⟩
Scalar mean and per-site spatial map of the phase field.
Mean |φ|
Absolute mean of the phase field; robust to phase-symmetry cancellations that average the signed mean to zero.
Correlations and structure
Two-point correlator
Radial correlation function ⟨σizσjz⟩c by site separation.
Correlation length ξ
Decay length of the two-point correlator above, in lattice sites.
Density variance
⟨n²⟩ − ⟨n⟩². Compressibility proxy and fluctuation amplitude.
Spin-lattice order diagnostic
Computed from the three Pauli-basis bitstrings. Higher values indicate domain-like ordering and less mixed readout.
Emergent quasi-particle structure
Polaron radius
Carrier-localization length, reported in lattice sites and nm.
Domain fraction
Connected-cluster occupation fraction.
Energy surrogate ⟨H⟩
Expectation value of the modeled Hamiltonian.
Effective occupancy fraction
Application-calibrated site-occupancy estimate (e.g. Li fraction on cathode tracks), derived from the Z-basis bitstring and cross-checked against the phase field.
Conventional methods report a handful of observables at equilibrium, or one trajectory at a time. NMC811-IQ reports up to 19 measures per microstate, across connected trajectories.
Benchmarks
View all benchmarks →
Reference datasets for connected microstate evolution.
These benchmarks measure what conventional quantum benchmarks do not: the trajectory structure of real material systems across their operating ranges. Two SOC ranges, 10-25% & 60-75%, are freely accessible — data and plots open for inspection. Full datasets follow engagement.
Energy storage
Free 30% - Ballistic transport family
NMC811-IQ Battery Benchmark
Connected microstate trajectories across the NMC811-IQ operating range, with 19 measures resolved per quantum microstate. Two complete seams open for public inspection; transition-resolved data behind engagement.
Open benchmark →
Advanced materials
Free 30% - Anneal family
MagNet-IQ Magnetic Discovery Benchmark
Coupling-parameter sweep across the magnetic lattice, including corner-physics regimes surfaced by Hamiltonian-guided exploration. Working notes track methodology and findings in series.
Open benchmark →Where Subatomic Computing applies.
Open a sector to read how Subatomic Computing applies, or contact us about that sector directly.
Energy storage
Battery materials, charge-state behavior, regime mapping, and performance-window analysis.
Solar
Materials behavior, performance-region analysis, and structured datasets for design and optimization decisions.
Pharmaceutical
High-value computational outputs for molecule, materials, and process questions where non-public data materially matters.
Advanced materials
Property landscape exploration, regime identification, and structured dataset generation for R&D decisions.
Aerospace and defense
Restricted, high-value technical engagements where confidentiality and decision advantage matter.
Model development
Specialized training and evaluation datasets where ground truth is otherwise costly, slow, or unavailable.
Findings and working notes.
Two series. Signals tracks the battery track and broader methodology. Working Notes tracks magnetic-state evolution as it unfolds.
Signals from beyond the frontier
Findings, methodology, and what Subatomic Computing reveals when turned loose on real material systems.
- 01 What defect characterization reveals at quantum resolution
- 02 Emergent vs. enumerated: a different question for materials simulation
- 03 Why connected state evolution matters
- 04 The microstate problem at 50% SOC
Working notes: magnetic state evolution
Methodology and findings from the magnet track, posted as work proceeds.
- 01 Corner physics in the coupling parameter sweep
- 02 Forthcoming
- 03 Forthcoming
- 04 Forthcoming
Confidential contact
Let's discuss what IQ Intel can do for you.
Public detail is intentionally limited. If your organization has a defined technical objective and the ability to act on proprietary outputs, use the form.
Preferred counterparties
U.S.-based industrial, strategic, or research organizations.
Public detail level
Limited by design. Method-level discussion generally follows fit review.
Response profile
Selective. Sector relevance, seriousness, and a concrete use case matter.