A patent-pending code family designed for fault-tolerant quantum computing at industry-leading encoding rates.
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.
Traditional high-rate qLDPC codes trade distance for density. Our construction achieves both through concatenation with repetition-style outer codes.
Our work spans code construction, decoding, hardware integration, and fault-tolerant architecture design.
Novel qLDPC code families with high encoding rates. Systematic search across structured polynomial families, verified by exhaustive distance enumeration and certified rank computation.
Industry-standard BP-OSD decoder integration and circuit-level simulation using modern toolchains. Exhaustive distance verification across billions of error configurations.
Platform-specific implementation analysis across neutral atom, trapped ion, and superconducting hardware. Measurement protocol design and 2D planar routing optimization.
We build on the modern quantum research toolchain, ensuring our work is reproducible, verifiable, and compatible with current hardware partners.
C++-speed circuit-level noise simulation
Industry-standard belief propagation + ordered statistics
Certified GF(2) rank computation
QASM circuit generation for real hardware
Our core research is protected through multiple US provisional patent filings with ongoing preparation for non-provisional and international filings.
Specific patent application numbers, technical details, and benchmark results are available under appropriate non-disclosure terms for qualified evaluators.
High-rate fault-tolerant quantum codes enable a range of near-term and next-generation applications on existing and emerging hardware.
Fermi-Hubbard model simulation and related problems in materials science, enabling error-corrected studies of high-temperature superconductivity and strongly correlated systems.
Ground-state calculations for iron-sulfur clusters, battery cathode materials, and OLED emitter excited states — within logical qubit budgets achievable on near-term hardware.
Provably unpredictable random number generation for cryptographic and regulatory applications. A demonstrated commercial use case at achievable logical qubit counts.
Technical evaluation discussions available under appropriate confidentiality terms. Reach out to explore platform fit, licensing structures, or research collaboration.
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