Quantum Boltzmann Core for Next-Gen Multiphysics Platforms
Dr. Romit Chakraborty — Founder & CSO
Ph.D. University of Chicago · Postdoctoral Fellow, UC Berkeley & LBNL
Point Reyes Sound, Inc. · U.S. Provisional Patent App. 64/033,274
As semiconductor fabrication hits sub-2nm nodes and battery interfaces reach sub-angstrom scales, traditional solvers suffer catastrophic failure.
Algorithmic incompatibility and numerical instability prevent scaling on modern GPU clusters.
Standard Self-Consistent-Field (SCF) algorithms rely on non-local, iterative matrix diagonalizations scaling at O(N³) to O(N⁴).
These global matrix operations stall completely on modern high-performance streaming and multi-GPU architectures.
Open quantum systems with localized charge trapping fail to achieve numerical SCF convergence, leading to simulation crashes.
Engineers are forced into costly physical prototyping cycles due to persistent simulation failures.
Solving Singularities in Matrix Diagonalization with GPU-Native Kinetic Relaxation.
Maps electronic density matrices into phase-space via the Wigner-Weyl transform and relaxes probability density via Bhatnagar-Gross-Krook (BGK) collision operators toward Fermi-Dirac equilibrium.
Monotonically dissipates energy with provable H-theorem entropy convergence guarantees.
Static Diagonalization Transformed into Kinetic Relaxation.
GPU-scalable, singularity-free atomistic simulations.
Directly Addressing Multi-Billion Dollar CAE/EDA Markets Constrained by Legacy Solvers
OEM channel distribution yields extreme capital efficiency and high-margin recurring software scale.
Delivered as a high-performance pre-compiled binary (libqbescf.so) that solves simulation bottlenecks without exposing our underlying source code.
Pre-Compiled C-ABI Binary: Exported as libqbescf.so with native PyAnsys, OpenFOAM, and standard TCAD runtime bindings.
Seamless Deployment: Drops directly into Synopsys, Cadence, Ansys, and Siemens enterprise simulation workflows without altering customer mesh pipelines.
Zero Source Code Exposure: Enterprise runs compiled CUDA machine code behind the customer firewall, protecting core IP while providing immediate performance leaps.
Bypassing long enterprise sales cycles with Day-1 developer velocity while scaling into massive OEM channels.
Open Python / PyAnsys SDK: Immediate bottom-up adoption by computational chemists, academic labs, and R&D engineers.
Direct Cloud Drawdowns: Metered per-hour GPU kinetic relaxation tokens on proprietary cloud infrastructure.
Rapid Flywheel: Eliminates enterprise procurement delays; builds bottom-up market conviction before OEM contract finalization.
Compiled C-ABI (libqbescf.so): Sandboxed shared library drops into Synopsys, Cadence, Ansys, and Siemens suites.
Native Add-On Revenue: Monetized as a licensed commercial add-on module distributed via existing global OEM sales forces.
Zero Source Exposure: Protects proprietary algorithms behind pre-compiled CUDA binaries operating within customer secure firewalls.
Deep technical pedigree bridging quantum theory, mathematical physics, and high-performance hardware systems.
Multi-layered IP protection across utility patents, trade secrets, and academic standards.
U.S. Provisional Patent App. 64/033,274: "Phase-Space Free Energy Minimization via the Quantum Boltzmann Equation" (Assigned 100% to Point Reyes Sound, Inc.).
Covers phase-space Wigner mapping algorithms and entropic-regularized BGK collision operators.
Clear execution milestones driving toward high-margin recurring enterprise run-rate.
Catalyzing compiler engineering, solver productionization, and 3 tier-1 enterprise foundry pilots.
Founder & CSO: Dr. Romit Chakraborty
Corporate Entity: Delaware C-Corporation · San Francisco, CA
Direct Diligence Contact: directors@pointreyessound.com
Investor Portal: pointreyessound.com#investors