BosonQ Psi (BQP)

India - Central India

• 12/07/2022
• Pre-Seed
• $525,000

BosonQ Psi is a software venture that leverages the power of Quantum computing to perform simulations. We build simulation capabilities utilizing a hybrid infrastructure of quantum computers and classical high-performance computers (HPC) to highlight near-term value additions to our customers. Additionally, we are exploring new ways to perform simulations for fault-tolerant quantum computers in the future.

Currently, we are building BQPhy™ - the world’s first Quantum-powered simulation-as-a-service (Q-SaaS) based software suite. Our next-generation software suite offers computational advantages across various fields of engineering simulations. At present, we provide structural mechanics, thermal sciences, and design optimization capabilities. BQPhy will incorporate fluid mechanics, electrochemistry, electromagnetics, and acoustics in future versions. BQPhy is geared toward enterprise customers wanting to accelerate their time-to-market by reducing their simulation time without sacrificing high accuracy in delivering innovative and reliable products. These enterprise customers come from aerospace, automotive, energy, manufacturing, biotechnology, construction, and other engineering-heavy industries. The power of BQPhy comes from its state-of-the-art proprietary simulation solvers and patented quantum algorithms.

Our name, BosonQ Psi, pays tribute to the great Indian physicist Dr. Satyendra Nath Bose, after whose name the elementary particle in quantum mechanics, Boson, was named and further incorporates the fundamental quantity that describes the state of the quantum particle - Psi, thus symbolizing the company's Indian origin and fundamental goal to become a global leader in Quantum paradigm shift.

Related People

Abhishek ChopraFounder

United States - Rensselaer, New York

Driven by my passion for making a significant impact in the world with disruptive and green technologies by conducting state of the art research in areas of computational sciences.

Current Ph.D. research areas: High-Fidelity CFD (code development and analysis), Rotorcrafts, HPC, Parallel Computing, and Aeroacoustics.

Interests outside of current areas of research include interest: GPU accelerated CFD code development and high-fidelity CFD code development for quantum computers.

Research experience in both Computation (CFD, FEA, MDO, and FSI) as well as Experiments (PIV, Schilerin, Load, Fatigue, and Vibration).

LinkedIn https://www.linkedin.com/in/ac1552/