Quantum Research

High-Rate Quantum Error Correction

A patent-pending code family designed for fault-tolerant quantum computing at industry-leading encoding rates.

The Research

A new corner of the parameter space.

Quantum error correction is the fundamental bottleneck between today's noisy quantum processors and practical fault-tolerant quantum computing. The dominant approaches — surface codes and bivariate bicycle codes — have well-known tradeoffs between encoding rate, code distance, and hardware connectivity requirements.

Our research explores a previously unexplored region of the qLDPC code design space: high-rate codes built from structured algebraic constructions with symmetry-based design principles. The resulting codes achieve encoding rates substantially higher than published alternatives, while remaining compatible with multiple hardware platforms.

What Makes This Different

Traditional high-rate qLDPC codes trade distance for density. Our construction achieves both through concatenation with repetition-style outer codes.

  • Industry-leading density
    Significantly higher logical-to-physical qubit ratios than surface codes
  • Circuit-level validated
    Performance verified under realistic hardware noise models
  • Multi-platform fit
    Validated for neutral atom, trapped ion, and 2D planar superconducting hardware
  • Standard decoder stack
    Works with off-the-shelf BP-OSD decoders, GPU-accelerator compatible
Research Themes

Core Areas of Investigation

Our work spans code construction, decoding, hardware integration, and fault-tolerant architecture design.

Code Construction

Novel qLDPC code families with high encoding rates. Systematic search across structured polynomial families, verified by exhaustive distance enumeration and certified rank computation.

  • Novel code construction methodology
  • Symmetry-based design principles
  • Concatenated code architectures
  • Scalable code family design

Decoding & Verification

Industry-standard BP-OSD decoder integration and circuit-level simulation using modern toolchains. Exhaustive distance verification across billions of error configurations.

  • BP-OSD decoder tuning
  • Circuit-level simulation (stim)
  • Monte Carlo validation
  • Statistical confidence analysis

Hardware Architecture

Platform-specific implementation analysis across neutral atom, trapped ion, and superconducting hardware. Measurement protocol design and 2D planar routing optimization.

  • Steane-type transversal measurement
  • Gauge decomposition for 2D layouts
  • SWAP routing optimization
  • Multi-platform benchmarking
2026 Research Update

Measured Circuit-Level Results on NVIDIA DGX Spark

Our code family now has measured circuit-level fault-tolerant scaling under a spacetime BP-OSD decoder, validated on NVIDIA DGX Spark (GB10 Grace Blackwell) against symmetric depolarizing noise at hardware-relevant error rates.

  • Fault-tolerant scaling confirmed in simulation Subthreshold logical error rates measured across multiple decades of physical error rate, matching the theoretical scaling exponents for the code family.
  • Decoder-in-the-loop evaluation Spacetime parity-check-matrix BP-OSD decoder achieves substantial logical error reduction over standard graphlike baselines on the same code and circuit.
  • Zero-error band in circuit-level simulation At trapped-ion / neutral-atom class physical error rates, the compact anchor hits the measured zero-error band in million-shot simulation runs.
  • Platform-agnostic benchmarks Two-layer benchmark package: compact public anchor + larger biased-noise / high-connectivity variants for superconducting, trapped-ion, and neutral-atom platforms.

Full measurement tables, scaling fits, and reproducibility scripts are available under appropriate non-disclosure terms for qualified technical evaluators.

May 2026 Tier 2+ Results

Multi-Platform Hardware Demonstration + Multi-Round Decoder Validation

Beyond simulation: our patent-protected [[18, 6, 3]] σ-cyclic CSS code is now validated on four cloud quantum platforms with cross-broker reproducibility, and the space-time BP-OSD decoder is triply validated on real-noise-model multi-round QEC syndromes.

  • Four-platform cross-topology comparison Identical OpenQASM circuit executed on IBM Heron r2 (heavy-hex SC), IQM Emerald (square-lattice SC), IonQ Forte-1 (all-to-all TI), and Quantinuum H2 emulator (all-to-all TI sim @ 99.97% 2Q). R=1 block success ranking: IBM 0.016 < IQM 0.019 < Forte 0.659 < Quantinuum 0.920 — tracks per-2Q-fidelity hierarchy structurally.
  • Cross-broker reproducibility on Forte-1 (3-broker validation) |0⟩_L block fidelity reproduced across Open Quantum (200-shot), AWS Braket direct (5,000-shot pooled, 0.659 [0.646, 0.672]), and Azure Quantum within mutual 95% CIs. |1⟩_L pooled across 3,100 shots from 3 brokers: 0.673 [0.656, 0.689]. The hardware result is path-independent.
  • Space-time BP-OSD decoder triply validated +50.5% rel block error reduction on calibrated simulation (R=1, p<0.001); +50% on real IBM Heron r2 R=2 hardware syndromes (p≈0.08); +55.0% on Quantinuum H2 emulator R=2 (p≈0.034) and +48.6% on R=3 (p≈0.012). Spatial-only decoder variants are within-CI of raw — only the space-time decoder exploits the temporal-correlation structure.
  • Logical state symmetry tightening Four-state basis-asymmetry measured at high shot count: Z-basis mean 0.654, X-basis mean 0.767, asymmetry +11.3 pp X over Z — structurally explained by L_X uniform-weight-3 vs L_Z weight-distribution [3,4,4,4,3,6].
  • Documented cross-broker capability findings Three independent broker-pipeline findings recorded for the field: (i) mid-circuit reset rejection on IonQ Forte across both Open Quantum and AWS Braket — hardware-vendor capability boundary, not broker artifact; (ii) IonQ device-level Clifford-mirror collapse to identity defeats matched-depth control; (iii) Azure-Qiskit-IonQ pipeline strips Hadamard gates during IonQ provider transpilation regardless of optimization level.
  • Open data + Zenodo DOI forthcoming Raw shot data, OpenQASM circuits, decoder pipelines, analysis scripts, and pre-registration documents will be published as a one-command-reproducibility GitHub repository (Meryantra/sigma-cyclic-qldpc-bench) plus Zenodo DOI in May 2026.

Total cumulative cloud-hardware spend across all results above: ~$700. Compute support: IBM Quantum Open Plan (free tier), Open Quantum / Quantum Rings, AWS Activate Founders ($1K), Microsoft Founders Hub ($5K), and Quantinuum basic1 free emulator quota. Patents filed: US Provisionals 64/030,039 + 64/036,407.

Technology Stack

Built on industry-standard foundations.

We build on the modern quantum research toolchain, ensuring our work is reproducible, verifiable, and compatible with current hardware partners.

Simulation
stim

C++-speed circuit-level noise simulation

Decoding
BP-OSD

Industry-standard belief propagation + ordered statistics

Verification
galois

Certified GF(2) rank computation

Hardware
Qiskit

QASM circuit generation for real hardware

Intellectual Property

Patent-Pending Technology

Our core research is protected through multiple US provisional patent filings with ongoing preparation for non-provisional and international filings.

Patent Portfolio

  • US Provisional 64/030,039 (Filed April 5, 2026) Core trivariate qLDPC code construction and symmetric base-code family
  • US Provisional 64/036,407 (Filed April 11, 2026) Concatenation methods, Steane-type measurement protocols, and extended code family
  • Non-Provisional Timeline Non-provisional filing in preparation ahead of April 5, 2027 priority window; patent counsel engagement in progress
  • International Filing Strategy PCT application planned within priority window; national-phase protection in target jurisdictions

Detailed construction data, shift-set specifications, and full benchmark tables are available under appropriate non-disclosure terms for qualified evaluators.

Applications

Where This Technology Fits

High-rate fault-tolerant quantum codes enable a range of near-term and next-generation applications on existing and emerging hardware.

Condensed Matter Simulation

Fermi-Hubbard model simulation and related problems in materials science, enabling error-corrected studies of high-temperature superconductivity and strongly correlated systems.

Quantum Chemistry

Ground-state calculations for iron-sulfur clusters, battery cathode materials, and OLED emitter excited states — within logical qubit budgets achievable on near-term hardware.

Certified Randomness

Provably unpredictable random number generation for cryptographic and regulatory applications. A demonstrated commercial use case at achievable logical qubit counts.

Interested in Evaluating This Technology?

Technical evaluation discussions available under appropriate confidentiality terms. Reach out to explore platform fit, licensing structures, or research collaboration.

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