BQP

BQP, previously operating as BosonQ Psi, develops BQPhy, a platform that applies quantum and quantum-inspired methods to computational engineering simulation and optimization. The company positions its offering around reducing time-to-solution for complex simulations, improving accuracy, and extracting more value from existing high-performance computing and GPU infrastructure through hybrid quantum-classical approaches. Reported technical work includes a quantum-annealing-based physics-informed neural network (QA-PINN) for accelerating computational fluid dynamics training, and quantum CFD circuit compression achieved with Classiq and NVIDIA.

Beyond the core platform, BQP distributes a quantum-inspired optimization tool for MATLAB via the MathWorks File Exchange, publishes educational material such as a handbook on quantum-inspired engineering workflows, runs a podcast featuring its founders, and operates a WISER insider program that gives cohort participants early access to BQPhy. It also collaborates on academic curriculum, including a credit course on quantum-inspired optimization at Rensselaer Polytechnic Institute.

Business model

BQP commercializes BQPhy as a software platform, offered through free trials, scheduled demos and early-access programs, alongside distribution of a quantum-inspired optimization tool through the MathWorks File Exchange.

Latest developments

Recent items include a $5M oversubscribed seed round, a reported 25x speed-up using BQPhy's QA-PINN for CFD training, a quantum CFD milestone with Classiq and NVIDIA involving 100x circuit compression, availability of BQPhy quantum-inspired optimization for MATLAB, an RPI credit course on quantum-inspired optimization developed with BQP, sponsorship of SAE Aerothon 2025, and an interview with founding member Aditya Singh in AIM Network's Front Page series.