BQP Reaches $8M in Funding With IBM Ventures Investment
BQP announced on September 2 that IBM Ventures participated in a strategic investment round, bringing the company’s total funding to $8 million. BQP’s current product, QuantumNOW, utilizes ordinary CPU and GPU hardware to run physics and AI solvers, as its quantum solver remains under development. Indeed, this is a modest funding round for classical simulation software, positioning quantum computing as a future prospect.
Details of the Funding
According to the September 2 press release, the investment came from IBM Ventures, Venn10 Capital, and existing investor Monta Vista Capital. Furthermore, New York State’s venture arm supported BQP’s 2025 seed round. BQP stated that the new capital will go toward advancing its BQPhy platform from engineering design to wider deployment, and to expand its sales and delivery teams beyond its current aerospace and defense clientele. An $8 million total investment typically funds personnel and market entry strategies.
BQP reported an 8x increase in contracted and committed revenue since its seed round, a threefold increase in customer count, and a twentyfold increase in platform users. However, the release disclosed no baseline figures, so these multiples indicate growth direction but not scale. Actual revenue in dollars was not provided.
QuantumNOW, the operational component of BQP’s platform, is classical software. It performs physics and AI optimization on existing CPU and GPU systems and integrates with MATLAB, Python, and Julia. QuantumMAX, BQP’s quantum-native solver, is still undergoing validation. BQP describes its classical product as an on-ramp, helping identify problems that could later benefit from a quantum processor. Emily Fontaine, Global Head of IBM Ventures, commented in the release:
“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.”
Assessing the Quantum Claim
BQP referenced work presented at USNC/TAM 2026, where it utilized QuantumMAX on quantum hardware for uncertainty quantification in computational fluid dynamics. The company claims it achieved classical Monte Carlo accuracy using fewer samples on what it termed a benchmark-scale problem. This represents a demonstration on a small problem, and achieving parity with a classical method doesn’t constitute an advantage over it. The qubit count wasn’t specified.
BQP’s other reported progress involves classical acceleration. Under a Small Business Innovation Research (SBIR) contract with the U.S. Space Force and SpaceWERX, its solver propagates a catalog of over 3,000 space objects in under a second, which the company estimates is approximately 250 times faster than the open-source Orekit tool. BQP also has a Cooperative Research and Development Agreement (CRADA) with the Air Force Research Laboratory and is involved in EV battery thermal management projects funded by India’s Ministry of Heavy Industries. All these applications currently run on classical hardware.