BQP announced a strategic investment from IBM Ventures that brings the company’s total funding to $8 million and will fund the expansion of its BQPhy® physics-simulation platform beyond aerospace and defense.
Since its 2025 seed round, backed by New York State’s venture arm and other institutional investors, BQP said contracted and committed revenue has increased eightfold, its customer base has tripled and platform users have grown twentyfold. Venn10 Capital and existing investor Monta Vista Capital also participated in the latest round.
“An engineer with a deadline doesn’t care where the answer came from. They care that it arrived in time and that the physics is right. The industry spent years treating this as a hardware problem that warranted faster chips, more of them, and eventually a quantum one. But it was always a software problem,” said Abhishek Chopra, Founder and CEO of BQP. “We spent those years earning our way into engineering workflows, so when the quantum machines are ready, nothing about how those teams work has to change. That’s the path IBM has watched us build since 2023, and this investment says it’s the right one.”
BQP technology: BQPhy®, QuantumNOW™ in production and QuantumMAX™ development
BQP positions BQPhy® as a physics-AI optimization engine that runs on customers’ existing CPU and GPU infrastructure while preparing teams for hybrid quantum-classical computing. The company says classical physics solvers leave roughly 85% of a GPU’s floating-point capacity idle because sparse iterative methods are bound by memory access rather than compute; BQPhy® uses that idle capacity to resolve full-physics models within decision windows.
The platform delivers two solvers that share a single SDK, is integrated natively into MATLAB as a MathWorks Connections Program partner, and exposes standard APIs for Python, Julia and other frameworks so engineers can use familiar tools. QuantumNOW™ is in production today on customer CPU and GPU systems; each deployment also maps which problems belong on a QPU, making QuantumMAX™—BQP’s quantum-native solver in development—an on-ramp rather than a bet. QuantumMAX™ is written for heterogeneous CPU–GPU–QPU execution rather than a single hardware target.
“What stood out with BQP is that users don’t have to change how they work to get quantum-accelerated results. Their proven track record of developing software that helps enterprises build a practical path toward hybrid quantum-classical computing is what gives IBM Ventures confidence in making this investment,” said Emily Fontaine, Global Head of IBM Ventures.
Deployments, partnerships and sector use cases
In aerospace and defense, BQP’s most advanced work is in space. Under an SBIR with the U.S. Space Force and SpaceWERX—extending earlier work with the SDA TAP Lab—BQPhy®’s physics-AI propagates a catalog of more than 3,000 space objects in under a second, roughly 250x faster than the open-source Orekit solver by compressing the model using proprietary algorithms. BQP also holds a CRADA with the Air Force Research Laboratory’s Aerospace Systems Directorate and has demonstrated BQPhy® on radio-frequency signal problems for the tactical edge with NavalX.
With Modovolo, BQP built a system-level propulsion optimization for UAV mission profiles that expanded from three design variables to more than twelve and tuned propeller and motor as a single unit; integration took roughly one week through the API.
In energy, BQP is applying the same platform to commercial systems: EV battery thermal-management work is funded by India’s Ministry of Heavy Industries and the Indian School of Business. The company frames these efforts as applying the same high-dimensional physics engine across industries—from satellite propagation to heat flow in battery packs and data-center racks—where the physics must be resolved before the decision window closes.
Research and validation
BQP said QuantumNOW™ is in production and QuantumMAX™ is proving out. At USNC/TAM 2026, BQP ran QuantumMAX™ on quantum hardware for uncertainty quantification in computational fluid dynamics, reaching the same accuracy as classical Monte Carlo with fewer samples on a benchmark-scale problem. The company’s research has been published in IEEE, AIAA and APL Quantum, and it received best paper awards at AeroCon 2026 and the IEEE Space, Aerospace and Defence Conference (SPACE 2026).
The investment will support BQPhy®’s expansion from engineering design into operational deployment, scaling delivery and go-to-market as BQP expands beyond its initial aerospace and defense customers.
