An AI-Native Full-Stack Platform for Clean-Energy Discovery
Dr. Romit Chakraborty (PI)
Saurabh Sharma (Founder & CEO)
Dr. Sayan Chakraborty (Asst. Prof.)
Strongly correlated electronic systems remain computationally intractable on classical architectures.
Algorithmic matrix bottlenecks and numerical divergence prevent scaling on modern GPU clusters and quantum processors.
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.
Protected by U.S. Prov. Pat. App. 64/033,274
Phase space provides the unified mathematical language connecting user formulation, kinetic simulation, FPGA hardware execution, and quantum error correction.
Structured 4-phase execution across all three consortium swimlanes · Component TRL 4 → TRL 7/8 Pilot-Ready Platform (₹1.50 Crore Total Direct R&D).
100% direct R&D capital efficiency across U.S. and Indian partners (Zero institutional overhead / indirect costs per USISTEF guidelines).
Dual-track value creation: Driving private-sector industrial adoption through Qomputing.ai while expanding national quantum workforce capacity.
A tri-partite leadership structure uniting foundational quantum chemistry theory, commercial AI/FPGA systems, and world-class QEC mathematics.
Multi-layered intellectual property protection backed by an accelerated progression from component validation to commercial deployment.
• Assigned Utility Patent: U.S. Provisional Patent Application 64/033,274 ("Phase-Space Free Energy Minimization via the Quantum Boltzmann Equation") assigned 100% to Point Reyes Sound, Inc.
• Protected GPU Binary Core: Pre-compiled, high-performance streaming kernels (libqbescf.so / qbescf.dll) ensuring complete source-code confidentiality during commercial embedding.
• Proprietary Control & Compilation Stack: Qomputing.ai AI problem-to-circuit compilers and FPGA firmware.
• Hardware-Aware QEC Schemes: TCG CREST customized phase-space decoders and verification protocols.
Validated working components exist: Q-Boltz solver core, Qomputing IDE, TCG CREST QEC models.
Full-stack integration demonstrated in FPGA hardware-in-the-loop and simulated environments.
Integrated pilot-ready commercial platform validated across semiconductor, battery & catalyst partners.
Broader commercial rollout via OEM licenses, cloud subscriptions, and global industrial adoption.
Combining India's high-velocity quantum engineering, FPGA integration, and academic rigor with world-leading U.S. foundational scientific IP.
₹1.5 Crore converts validated bilateral scientific IP and quantum engineering into a commercially deployable clean-energy discovery platform.
• Proven Q-Boltz phase-space scientific core with published benchmarks.
• Established Qomputing AI-native IDE and FPGA control prototype.
• Advanced theoretical QEC error models at TCG CREST.
• Full-stack Quantum Materials Foundry operational at TRL 7/8.
• Validated battery SEI, semiconductor & catalysis industrial pilots.
• Packaged commercial APIs, OEM integration binaries & trained JRF workforce.
• OEM simulation software in-tree distribution (Ansys, COMSOL, Siemens).
• Metered GPU cloud token drawdowns for materials synthesis teams.
• Self-sustaining commercial business generating high-margin bilateral revenue.