Engineering teams today are pushing against the limits of conventional optimization methods. As models grow in complexity and simulation fidelity increases, classical algorithms struggle to keep pace. Yet most engineers continue to rely on the same tools—MATLAB being one of the most trusted environments for modeling, simulation, and system development.

At BQP, we’ve always believed that engineers shouldn’t have to wait for quantum hardware to benefit from quantum-era performance. They should be able to access those capabilities inside the workflows they already use.

That belief shaped the development of BQPhy® for MATLAB, now available through MathWorks File Exchange.

Why We Built a MATLAB Integration

MATLAB is a foundation for engineering across aerospace, automotive, energy, and manufacturing. Teams use it every day for prototyping, system design, digital twins, and algorithm development.

But even the best workflows bottleneck when traditional optimization hits scaling limits.

BQPhy® solves this by bringing quantum-inspired optimization directly into the MATLAB environment.

• No new interface
• No major workflow change
• No learning curve

Just faster, more scalable optimization—inside a tool engineer already knows.

Quantum-Inspired Optimization, Delivered Through the Tools Engineers Trust

BQPhy® applies quantum-inspired algorithms to accelerate complex numerical tasks on classical HPC, CPU, and GPU systems. These algorithms mimic quantum mathematical structures, allowing teams to:

• Explore more of the design space
• Reduce iteration cycles
• Improve convergence for challenging optimization problems
• Run more advanced physical or multiphysics models
• Move from months of tuning to days or weeks

Integrating this capability inside MATLAB unlocks immediate value for simulation-heavy workflows.

Whether optimizing an aerospace subsystem, calibrating an EV battery model, or running large-scale stochastic simulations—BQPhy® enhances performance without replacing existing infrastructure.

A Native MATLAB Experience

Our goal was simple:
Make BQPhy® feel like a natural extension of MATLAB.

The toolbox allows engineers to:

• Call BQPhy® functions directly from MATLAB scripts
• Integrate QIO into existing models without refactoring
• Iterate quickly using familiar commands and toolchains
• Combine domain expertise with high-performance optimization

This reduces the time between experimentation, validation, and deployment—something especially critical in industries where simulation drives design decisions.

Lowering Barriers for Teams Exploring Quantum-Ready Workflows

Quantum computing will eventually become part of the engineering stack, but organizations shouldn't wait years to prepare. Quantum-inspired methods serve as a practical stepping stone.

By offering BQPhy® through MathWorks File Exchange, we enable engineers, researchers, and product teams to test QIO directly within MATLAB—with minimal setup and zero new infrastructure.

Building the Bridge—Not Replacing the Toolbox

We don’t expect engineers to abandon platforms they’ve used for decades. Instead, our philosophy is to enhance them. BQPhy® functions as an accelerative engine beneath the surface of familiar tools like MATLAB, making advanced optimization more accessible and scalable.

Quantum-inspired acceleration shouldn’t require changing your workflow. It should simply make your workflow better.

Publication: StarCIO

Published: December 2025

Contributors: 50+ industry leaders including CEOs, CIOs, and CTOs

BQP was included among more than 50 technology organizations contributing expert predictions on how AI, data governance, security, infrastructure, and leadership will evolve in 2026. The report aggregates insights across agentic AI, AI governance, information security, DevOps, data management, and enterprise leadership.

Rut Lineswala, Founder and CTO of BQP, contributed perspectives on the emergence of quantum-aware security frameworks. His commentary highlights that many enterprises are already running quantum-inspired algorithms within mission-critical engineering and simulation workflows without sufficient visibility, governance, or validation mechanisms.

The report positions trust, accountability, and operational oversight as central themes for AI and advanced computing adoption in 2026, with security and governance increasingly treated as embedded engineering practices rather than afterthoughts.

Source: StarCIO

Link:https://drive.starcio.com/2025/12/predictions-agentic-ai-data-governance-security-2026/

Publication: Digital Engineering

Author: Digital Engineering Editors

Published: November 25, 2025

A joint demonstration by Classiq, BQP, and NVIDIA showcased advancements in hybrid quantum-classical simulation workflows for digital twin and computational fluid dynamics (CFD) workloads. The collaboration integrates Classiq’s automated circuit synthesis platform, BQP’s implementation of the Variational Quantum Linear Solver (VQLS) on its BQPhy platform, and NVIDIA’s CUDA-Q environment for hybrid execution.

The demonstration illustrates how optimized quantum circuits can reduce circuit depth, improve qubit utilization, and enhance scaling behavior for matrix-based simulations commonly found in engineering and HPC environments. These workflows are designed to integrate directly into existing industrial simulation pipelines.

BQP emphasized its focus on delivering production-ready simulation tools that align with established numerical methods while incorporating quantum-ready components. The company has also published a detailed technical blog outlining the VQLS formulation, benchmarks, and methodology.

Source: Digital Engineering

Link: https://www.digitalengineering247.com

Publication: Investing.com

Author: Sam Boughedda

Published: December 4, 2025 | 12:53 PM

BQP gained increased attention in the quantum computing sector following the announcement of its collaboration with NVIDIA and Classiq on a hybrid quantum-classical simulation demonstration. The collaboration combines NVIDIA’s CUDA-Q simulator, Classiq’s circuit optimization platform, and BQP’s quantum algorithms to explore advanced simulation workflows well ahead of commercial quantum hardware availability.

Abhishek Chopra, CEO and co-founder of BQP, stated that the partnership meaningfully accelerates the timeline for practical quantum computing by allowing software, workflows, and hybrid configurations to be designed and validated today. GPU-powered simulation enables experiments that previously required extensive runtimes to be completed significantly faster, supporting more rapid iteration and product development.

The article details how BQP applies its algorithms to computational fluid dynamics and digital twin applications, while maintaining parallel collaborations with IBM and Intel. These relationships collectively support the development of a quantum-ready software stack designed to transition smoothly from classical and hybrid systems to fully quantum-native infrastructure.

Source: Investing.com

Link:https://www.investing.com/news/stock-market-news/exclusive-bqp-ceo-says-nvidia-partnership-pulls-quantum-progress-forward-4391693

Publication: StarCIO

Published: December 15, 2025

Contributor: Rut Lineswala, Founder & CTO, BQP

Rut Lineswala, Founder and CTO of BQP, was featured alongside global CIOs, CTOs, and CEOs in StarCIO’s annual 2026 predictions report. The article compiles expert perspectives on agentic AI, data governance, information security, infrastructure, and enterprise leadership trends expected to shape the coming year.

Lineswala’s contribution highlights the growing gap between traditional security playbooks and the reality of quantum-inspired software already operating within mission-critical environments. He notes that quantum-inspired algorithms are being embedded seamlessly into standard engineering workflows such as MATLAB, Python, and established simulation platforms, often without SecOps teams recognizing that fundamentally different computational methods are in play.

The prediction emphasizes that organizations building quantum-aware security frameworks—focused on where computation happens, how results are validated, and how hybrid workflows are governed—will have a strategic advantage as adoption accelerates.

Source: StarCIO

Link:https://drive.starcio.com/2025/12/predictions-agentic-ai-data-governance-security-2026/

Publication: Dark Reading

Published: December 5, 2025 | 5 Min Read

Contributor: Rut Lineswala, Founder & CTO, BQP

As quantum methods quietly move beyond lab experiments and into production workflows, security, compliance, and engineering teams are being forced to adapt. This is not a pitch for new hardware, but an examination of how security operations must evolve as quantum-inspired software becomes embedded in mission-critical environments.

Most enterprises are not running quantum computers. Yet quantum-inspired algorithms are already deployed across defense, aerospace, and advanced engineering programs, delivering significant performance gains today while being architected for future quantum hardware. These tools integrate seamlessly with existing workflows such as MATLAB, Python, and traditional simulation platforms, often without SecOps teams realizing that fundamentally different computational methods are in use.

This seamless integration creates a challenge. Quantum software does not fit neatly into existing cybersecurity and compliance frameworks. While standard questions around data storage, encryption, and access control remain relevant, they do not fully capture how quantum and quantum-inspired software operates, especially when designed to transition from classical CPUs and GPUs to quantum processors in the future.

Industry research, including Deloitte’s 2025 Tech Trends, highlights the growing risk of "harvest now, decrypt later" scenarios as cryptographically relevant quantum computers advance. For sectors such as defense and aerospace, where sensitive workloads are often kept on-premise, the eventual need to access external quantum data centers introduces new operational security questions that existing SOPs do not yet address.

Quantum computing is no longer theoretical. Production-style deployments are already underway, and organizations that develop quantum-aware security frameworks now will be better positioned as adoption accelerates. Those that delay risk retrofitting security onto systems that have already become mission-critical.

Source: Dark Reading

Link:https://www.darkreading.com/cybersecurity-operations/cisos-should-be-asking-these-quantum-questions-today

Engineering teams today are pushing against the limits of conventional optimization methods. As models grow in complexity and simulation fidelity increases, classical algorithms struggle to keep pace. Yet most engineers continue to rely on the same tools—MATLAB being one of the most trusted environments for modeling, simulation, and system development.

At BQP, we’ve always believed that engineers shouldn’t have to wait for quantum hardware to benefit from quantum-era performance. They should be able to access those capabilities inside the workflows they already use.

That belief shaped the development of BQPhy® for MATLAB, now available through MathWorks File Exchange.

Why We Built a MATLAB Integration

MATLAB is a foundation for engineering across aerospace, automotive, energy, and manufacturing. Teams use it every day for prototyping, system design, digital twins, and algorithm development.

But even the best workflows bottleneck when traditional optimization hits scaling limits.

BQPhy® solves this by bringing quantum-inspired optimization directly into the MATLAB environment.

• No new interface
• No major workflow change
• No learning curve

Just faster, more scalable optimization—inside a tool engineer already knows.

Quantum-Inspired Optimization, Delivered Through the Tools Engineers Trust

BQPhy® applies quantum-inspired algorithms to accelerate complex numerical tasks on classical HPC, CPU, and GPU systems. These algorithms mimic quantum mathematical structures, allowing teams to:

• Explore more of the design space
• Reduce iteration cycles
• Improve convergence for challenging optimization problems
• Run more advanced physical or multiphysics models
• Move from months of tuning to days or weeks

Integrating this capability inside MATLAB unlocks immediate value for simulation-heavy workflows.

Whether optimizing an aerospace subsystem, calibrating an EV battery model, or running large-scale stochastic simulations—BQPhy® enhances performance without replacing existing infrastructure.

A Native MATLAB Experience

Our goal was simple:
Make BQPhy® feel like a natural extension of MATLAB.

The toolbox allows engineers to:

• Call BQPhy® functions directly from MATLAB scripts
• Integrate QIO into existing models without refactoring
• Iterate quickly using familiar commands and toolchains
• Combine domain expertise with high-performance optimization

This reduces the time between experimentation, validation, and deployment—something especially critical in industries where simulation drives design decisions.

Lowering Barriers for Teams Exploring Quantum-Ready Workflows

Quantum computing will eventually become part of the engineering stack, but organizations shouldn't wait years to prepare. Quantum-inspired methods serve as a practical stepping stone.

By offering BQPhy® through MathWorks File Exchange, we enable engineers, researchers, and product teams to test QIO directly within MATLAB—with minimal setup and zero new infrastructure.

Building the Bridge—Not Replacing the Toolbox

We don’t expect engineers to abandon platforms they’ve used for decades. Instead, our philosophy is to enhance them. BQPhy® functions as an accelerative engine beneath the surface of familiar tools like MATLAB, making advanced optimization more accessible and scalable.

Quantum-inspired acceleration shouldn’t require changing your workflow. It should simply make your workflow better.

BQP, Classiq, and NVIDIA today announced a joint demonstration showcasing a hybrid quantum-classical workflow designed to advance digital twin and computational fluid dynamics (CFD) simulations. The collaboration combines Classiq’s automated quantum circuit synthesis, BQP’s Variational Quantum Linear Solver (VQLS) implementation, and the NVIDIA CUDA-Q platform to enable quantum-ready simulation methods deployable within existing high-performance computing (HPC) environments.

The initiative highlights how quantum-enhanced numerical techniques can begin addressing scaling challenges in engineering workloads without requiring changes to established simulation pipelines. BQP, whose BQPhy platform delivers quantum-powered simulation capabilities for mission-critical industries, applied Classiq’s model-first design tools to generate optimized VQLS circuits tailored for real-world engineering constraints.

Using Classiq’s automated circuit synthesis, BQP produced VQLS circuits with reduced qubit counts, smaller circuit depth, and fewer trainable parameters compared to traditional quantum linear-solver approaches. These efficiencies directly support improved scaling behavior for matrix-based systems frequently encountered in CFD, structural analysis, and digital twin models. The full workflow executes on the NVIDIA CUDA-Q platform, offering seamless interoperability with GPU-accelerated HPC infrastructure widely used across industry and research.

“This collaboration demonstrates how hybrid quantum-classical approaches can be applied today to support demanding engineering workloads,”
- Nir Minerbi, CEO and co-founder of Classiq.

“By automatically generating optimized circuits and integrating them into existing simulation environments, teams like BQP can incorporate quantum-ready methods into the solutions they deliver.”

BQP has integrated these VQLS-based techniques into offerings available to clients today, ensuring compatibility with modern numerical solvers, data structures, and workflow requirements. The approach enables enterprises to evaluate quantum-ready simulation methodologies while maintaining confidence in their current HPC systems and engineering toolchains.

“Our focus is delivering practical, robust solutions to our clients’ most complex simulation challenges,”
- Abhishek Chopra, CEO of BQP.

“The hybrid workflow we developed with Classiq and executed through NVIDIA CUDA-Q strengthens both the flexibility and scalability of the tools we are deploying, while fitting naturally into the engineering systems our customers already rely on.”

BQP has published a detailed technical blog outlining the VQLS formulation, benchmarks, and methodology used in this collaboration. The full analysis is available at:
https://www.bqpsim.com/blogs/vqls-hpc-qc

Syracuse, NY and New York, NY - [Thursday, July 17 - 9 am EST] - BQP, a dual-use quantum-accelerated simulation software company, has raised an oversubscribed $4.9 million seed round to expand its unified digital twin platform, BQPhy®, for mission-critical industries, including aerospace, defense (A&D), and semiconductor. The raise follows a strategic collaboration with the Air Force Research Laboratory Aerospace Systems Directorate (AFRL/RQ) under a Cooperative Research and Development Agreement (CRADA) to accelerate mission-critical modeling and simulation capabilities with quantum computing. 

“Our quantum-inspired solvers are setting a new benchmark in simulation technology, bridging today’s computational limits and the quantum-ready future,” said Abhishek Chopra, BQP’s Founder, CEO, and Chief Scientific Officer. “The traction we're experiencing from AFRL/RQ and industry-leading design partners validates the immediate impact and substantial ROI our platform delivers today. We're also making significant R&D progress in quantum-native solvers for Computational Fluid Dynamics (CFD) and Machine Learning (ML), paving the way for future simulation workload for the next generation of data centers where HPC and quantum computers operate side by side.”

The round was led by Monta Vista Capital, with participation from Empire State Development’s New York Ventures, New York State’s venture capital arm,  Arc Ventures, Armory Square Ventures, Emergent Ventures, Alumni Ventures, Arka Venture Labs, Transpose Platform, Gainangels, and Pranatech Venture Capital. The round also saw participation from key angel investors and existing investors, including Paradigm Shift Capital and Griffiss Institute, as part of the Mojave Aerospace Accelerator Fund. Chopra added, “We’re grateful to those who believed in us and our vision! This funding enables us to accelerate the development of our quantum-powered digital twin framework with these design partners and further expand our footprint in A&D and semiconductor industries.” 

Total funding raised by the company now stands at $6.6 million.“BQP directly tackles critical bottlenecks in the rapidly evolving $22 billion simulation industry, where conventional technologies have struggled to keep pace with innovation demands in sectors like Aerospace & Defense, Semiconductor, and Energy,” said Roger Krakoff, Partner at Monta Vista Capital. “Their quantum-powered framework is positioned to become foundational infrastructure in the simulation ecosystem.”

Built for hybrid architectures - CPUs, GPUs, and quantum computers - BQPhy’s current version relies on quantum-inspired solvers, enabling a 10X performance boost today on existing CPU/GPU. With their future quantum-native solvers, the customers can experience up to 1000X gains on forthcoming quantum computers. 

In addition to the AFRL/RQ, BQP’s design partners include three major Aerospace and Defense companies, including the largest Tier-I Aerospace manufacturer, the Indian Ministry of Heavy Industries, ABB, and major aerospace players.

BQP's solvers can be utilized independently or in a unification as a Digital Twin framework as part of its platform. BQP’s overarching vision is to make BQPhy "the BlackRock of the simulation world," acting as the backend platform that seamlessly integrates into existing simulation workflows and software, as well as optimized for the hybrid computing architectures—CPUs, GPUs, and Quantum Computers—that define the future of data centers. 

BQP is actively working with leading quantum ecosystem partners, including Intel, IBM, Classiq, Strangeworks, and members of the NORDTECH Hub. The company will also appear at AIAA Aviation in Las Vegas and ASME Fluids Engineering in July, where Chopra will speak on quantum applications in simulation.

To explore BQP’s quantum-accelerated Digital Twin platform or request a demo, visit bqpsim.com.

Read about the press releases on these links 

Fortune Term Sheet 
‍PR Newswire
Yahoo Finance 
Siliconangle 

ABOUT BQP

BQP (BosonQ Psi) is a quantum-first simulation company building the next generation of digital twin platforms for mission-critical applications. Headquartered in Syracuse, NY, with a technology hub in Bangalore, India, BQP supports faster, more efficient engineering decisions across aerospace, defense, semiconductors, and energy.

Its core platform, BQPhy, integrates into existing engineering workflows and runs on today’s infrastructure - no quantum hardware required. By combining probabilistic algorithms from quantum information science with proprietary solvers, BQPhy enables breakthroughs in optimization, machine learning, and physics-based (CFD) simulations. 

BQP works closely with leading partners, including the Department of Defense, Air Force Research Laboratory, IBM, Intel, Moog, and IAI North America.

Learn more at https://www.bqpsim.com

By HPCwire, NEW YORK, Sept. 12, 2024 — BQP, a startup leading the development of quantum-based engineering simulations, today announced a significant research milestone for simulating Computational Fluid Dynamics (CFD). The milestone was achieved using a hybrid quantum-classical solver which is part of BQP’s next-gen simulation platform, BQPhy.

After conducting ~100,000 experiments, BQP researchers published their work in a paper where they estimated that large-scale CFD simulation of a jet engine can be achieved with only 30 logical qubits on a quantum computer, leading to better accuracy, efficiency, and costs than current methods. A prior study, which inspired the BQP team to undertake this research, found that it required 19.2M compute cores to perform this same simulation with classical algorithms on state-of-the-art High-Performance Computers (HPCs).

“This study is pivotal as it would democratize large-scale CFD simulation for every engineer once quantum computers become utility-scale,” said Abhishek Chopra, founder, CEO, and Chief Scientific Officer at BQP. “In the future, what would engineers have easier access to – 19.2M HPC cores or 30-logical-qubit quantum computers? I bet on the latter.”

“With continued research, we believe that quantum computing has the potential to revolutionize the way simulations are conducted, allowing engineers to push the boundaries of design and engineering,” Chopra added.

“BQP’s results signal the introduction of drastically higher computing power to flow field analysis and simulation. This capability can unlock new methods in aerospace development, enabling higher confidence during design and more proactive maintenance during the aircraft life cycle,” said Dan Hart, Senior Aerospace Executive and Member of the National Academy of Engineering.

For the research, BQP scientists estimated scalability, accuracy, and consistency for jet engine simulations using BQP’s Hybrid Quantum Classical Finite Method (HQCFM) solver. The study demonstrated the scalability of the HQCFM solver, by simulating a non-linear time-dependent Partial Differential Equation (PDE) from 4 to all the way to 11 qubits.

Researchers found that accuracy and consistency were comparable to classical computers, while the HQCFM distinguished itself by running inside a time loop in a transient problem, without propagating any error to the next time step. Obtaining such high accuracy consistently is a significant breakthrough toward more complex simulations beyond the capacity of classical devices.

BQP believes that BQPhy’s solver will allow CFD engineers to simulate a full aircraft for the first time, allowing aerospace engineers to greatly improve flight patterns during turbulence. Given current trends in supercomputing computational advances, simulating an entire aircraft via classical computing would not be possible until 2080.

In fact, BQPhy’s physics-based solver can also be used to solve other PDEs to capture interactions in gas dynamics, traffic flow or flood waves in rivers. Combined with quantum algorithms, the technology can accurately solve complex equations with reduced hardware demands compared to traditional high-performance computing (HPC) methods, while enabling sophisticated and intricate simulations to be performed effectively.

“Building on our successful collaborations with leading academic institutions, government research agencies such as AFRL, DARPA, industry pioneers, and top academic institutes, BQP is eager to partner with organizations that share our vision for advancing quantum computing solutions,” said Chopra.

The BQP team has already made significant progress towards its next milestone which will be presented at one of the world’s largest aerospace research, development, and technology events in January 2025.

Link to original publication:

BQP, a startup developing quantum-based engineering simulations, today announced what it said is a research milestone for simulating computational fluid dynamics. The milestone was achieved using a hybrid quantum-classical solver which is part of BQP’s next-gen simulation platform, BQPhy®, according to BQP.

After conducting ~100000 experiments, BQP researchers published their work in a paper where they estimated that large-scale CFD simulation of a jet engine can be achieved with only 30 logical qubits on a quantum computer, leading to better accuracy, efficiency, and costs than current methods. A prior study, which inspired the BQP team to undertake this research, found that it required 19.2M compute cores to perform this same simulation with classical algorithms on high-performance computers.

“This study is pivotal as it would democratize large-scale CFD simulation for every engineer once quantum computers become utility-scale,” said Abhishek Chopra, founder, CEO and chief scientific officer at BQP.  “In the future, what would engineers have easier access to – 19.2M HPC cores or 30-logical-qubit quantum computers? I bet on the latter.”

“With continued research, we believe that quantum computing has the potential to revolutionize the way simulations are conducted, allowing engineers to push the boundaries of design and engineering,” Chopra added.

“BQP’s results signal the introduction of drastically higher computing power to flow field analysis and simulation. This capability can unlock new methods in aerospace development, enabling higher confidence during design and more proactive maintenance during the aircraft life cycle,” said Dan Hart, Senior Aerospace Executive and Member of the National Academy of Engineering.

For the research, BQP scientists estimated scalability, accuracy, and consistency for jet engine simulations using BQP’s Hybrid Quantum Classical Finite Method (HQCFM) solver. The study demonstrated the scalability of the HQCFM solver, by simulating a non-linear time-dependent Partial Differential Equation (PDE) from 4 to all the way to 11 qubits.

Researchers found that accuracy and consistency were comparable to classical computers, while the HQCFM distinguished itself by running inside a time loop in a transient problem, without propagating any error to the next time step. Obtaining such high accuracy consistently is a significant breakthrough toward more complex simulations beyond the capacity of classical devices.

BQP believes that BQPhy®’s solver will allow CFD engineers to simulate a full aircraft for the first time, allowing aerospace engineers to greatly improve flight patterns during turbulence. Given current trends in supercomputing computational advances, simulating an entire aircraft via classical computing would not be possible until 2080.

In fact, BQPhy®’s physics-based solver can also be used to solve other PDEs to capture interactions in gas dynamics, traffic flow or flood waves in rivers. Combined with quantum algorithms, the technology can accurately solve complex equations with reduced hardware demands compared to traditional high-performance computing (HPC) methods, while enabling sophisticated and intricate simulations to be performed effectively.

“Building on our successful collaborations with leading academic institutions, government research agencies such as AFRL, DARPA, industry pioneers, and top academic institutes, BQP is eager to partner with organizations that share our vision for advancing quantum computing solutions,” said Chopra.

An extension of the study has been accepted for the the American Institute of Aeronautics and Astronautics SciTech Forum in January 2025, the world’s largest aerospace research, development, and technology event.

‍

BQP (BosonQ Psi), a pioneer in quantum-powered simulation technology, announced the successful closure of a $3+ million Seed-I funding round, taking the total funding to $4.7Mn.  The investment was led by Monta Vista Capital, with participation from Emergent Ventures, Armory Square Ventures, Alumni Ventures, and Paradigm Shift Capital.

BQP addresses a critical challenge in the $22 billion simulation market, where innovation in mission-critical industries such as Aerospace & Defence, Semiconductor, and Energy has stagnated due to outdated simulation technology. BQP is on a mission to revolutionize the entire domain of digital engineering by modernizing the backend algorithms and making it futureproof in terms of computing technology. This would result in modelling and simulations being faster, more accurate, and significantly more cost-effective, leading to lower costs, reduce risk, and increase in quality throughout the entire lifecycle of a product.

The startup's breakthrough lies in their next-gen simulation platform, BQPhy©, powered by quantum computing.  The platform’s current simulation solvers leverage quantum-inspired algorithms to accelerate advanced simulations by 10X on today’s high-performance computing systems. BQPhy has allowed engineers to simulate, optimize, and design complex systems and scenarios—like aircraft wing design or cargo payload optimization—more efficiently and with greater precision. In parallel, the startup is working to develop solvers with quantum-native algorithms which have the potential to achieve 1000X acceleration on quantum computers.

"This funding will fuel our expansion in the US and global markets, particularly within the Aerospace & Defence sector," said Abhishek Chopra, Founder and CEO of BosonQ Psi. "We're excited to scale our team and tackle the significant growth we're experiencing with ongoing and upcoming customer engagements."

Key achievements over the past 12 months include:

• Successful paid pilot with a Tier-1 Aerospace manufacturer using BQPhy's Quantum-Inspired Evolutionary Optimization (QIEO) solver for a large-scale optimization problem
• Demonstrations of QIEO with IAI North America, ABB, and India’s Ministry of Heavy Industries
• Showcasing quantum-native physics-based and data-driven solvers for Computational Fluid Dynamics and Computer Vision applications
• Partnership with AFRL/RI under a CRADA to explore quantum computing-based digital engineering and model-based system engineering opportunities within the DoD

"We were impressed with BQP's breakthrough in quantum computing with quantum-inspired algorithms, and its innovative application to simulation technology. It represents the real differentiation, and their impressive traction is already showing the potential to significantly disrupt critical industries like aerospace & defence (and beyond) by accelerating product development cycles and yielding dramatic cost savings in product development and performance," said Roger Krakoff, Managing Partner at Monta Vista Capital. “We're thrilled to lead this investment and support unique team in their mission to transform the simulation landscape."

About BQP

BQP (BosonQ Psi) is a New York-based software platform startup revolutionizing advanced simulations using quantum computing for mission-critical industries. Its proprietary BQPhy© simulation platform integrates novel mathematical solvers (Optimization, Physics-based Simulations, and Data-driven Simulations) with quantum algorithms. BQPhy with a user-friendly and low-code interface, seamlessly integrating into existing engineering workflows enabling industries to push the boundaries of what’s possible with today’s high performance computers (HPCs) while gearing up for forthcoming quantum hardware.

BQP has been recognized major governments bodies and global industry leaders. It has been awarded $100K as winners of Griffiss Institute’s HUSTLE Defense Accelerator supported by US Air Force Research Lab and $25K as winners of Quantum World Congress’s National Security Startup Pitch Competition. The startup is partnered with startup programs of AWS, Microsoft, Intel, IBM, and NVIDIA, as well as partnered with Quest Global, Tata Consultancy Services (TCS), and Tech Mahindra. BQP was also finalists of BMW’s Quantum Computing Challenge and Maruti Suzuki’s MAIL program and graduated from marquee accelerators.          

‍

BQP, a startup leading the development of quantum-based engineering simulations, today announced a significant research milestone for simulating Computational Fluid Dynamics (CFD). The milestone was achieved using a hybrid quantum-classical solver which is part of BQP’s next-gen simulation platform, BQPhy.

After conducting ~100,000 experiments, BQP researchers published their work in a paper where they estimated that large-scale CFD simulation of a jet engine can be achieved with only 30 logical qubits on a quantum computer, leading to better accuracy, efficiency, and costs than current methods. A prior study, which inspired the BQP team to undertake this research, found that it required 19.2M compute cores to perform this same simulation with classical algorithms on state-of-the-art High-Performance Computers (HPCs).

“This study is pivotal as it would democratize large-scale CFD simulation for every engineer once quantum computers become utility-scale,” said Abhishek Chopra, founder, CEO, and Chief Scientific Officer at BQP. “In the future, what would engineers have easier access to – 19.2M HPC cores or 30-logical-qubit quantum computers? I bet on the latter.”

“With continued research, we believe that quantum computing has the potential to revolutionize the way simulations are conducted, allowing engineers to push the boundaries of design and engineering,” Chopra added.

“BQP’s results signal the introduction of drastically higher computing power to flow field analysis and simulation. This capability can unlock new methods in aerospace development, enabling higher confidence during design and more proactive maintenance during the aircraft life cycle,” said Dan Hart, Senior Aerospace Executive and Member of the National Academy of Engineering.

For the research, BQP scientists estimated scalability, accuracy, and consistency for jet engine simulations using BQP’s Hybrid Quantum Classical Finite Method (HQCFM) solver. The study demonstrated the scalability of the HQCFM solver, by simulating a non-linear time-dependent Partial Differential Equation (PDE) from 4 to all the way to 11 qubits.

Researchers found that accuracy and consistency were comparable to classical computers, while the HQCFM distinguished itself by running inside a time loop in a transient problem, without propagating any error to the next time step. Obtaining such high accuracy consistently is a significant breakthrough toward more complex simulations beyond the capacity of classical devices.

BQP believes that BQPhy’s solver will allow CFD engineers to simulate a full aircraft for the first time, allowing aerospace engineers to greatly improve flight patterns during turbulence. Given current trends in supercomputing computational advances, simulating an entire aircraft via classical computing would not be possible until 2080.

In fact, BQPhy’s physics-based solver can also be used to solve other PDEs to capture interactions in gas dynamics, traffic flow or flood waves in rivers. Combined with quantum algorithms, the technology can accurately solve complex equations with reduced hardware demands compared to traditional high-performance computing (HPC) methods, while enabling sophisticated and intricate simulations to be performed effectively.

“Building on our successful collaborations with leading academic institutions, government research agencies such as AFRL, DARPA, industry pioneers, and top academic institutes, BQP is eager to partner with organizations that share our vision for advancing quantum computing solutions,” said Chopra.

The BQP team has already made significant progress towards its next milestone which will be presented at one of the world’s largest aerospace research, development, and technology events in January 2025.

About BQP

BQP (BosonQ Psi) is a software platform startup that leverages the power of quantum computing to accelerate simulations. With their next-gen simulation platform, BQPhy, the startup aims to help customers from aerospace, defense, and other heavy industries dramatically shorten their product cycles and save them billions of dollars. BQPhy is leveraging the power of quantum algorithms today with its quantum-inspired solvers running on today’s HPCs and hybrid approaches for forthcoming quantum computers. They have demonstrated 10X computational advantages with five aerospace and defense customers. BQP was named winner of the Griffiss Institute’s HUSTLE Defense Accelerator and 2023 Quantum World Congress National Security Startup Award. The company has graduated from prestigious programs like Intel Ignite Accelerator and Alchemist Accelerator. As of August 2024, BQP has raised $1.7m from venture capital, and won $600k worth of grants from the U.K., Netherlands, and Indian Governments.

‍

• BQP announced a major milestone in simulating Computational Fluid Dynamics (CFD) using a hybrid quantum-classical solver, achieving jet engine simulations with just 30 logical qubits.
• The BQPhy® platform demonstrated that quantum computing can surpass classical methods, which required 19.2 million compute cores, offering greater efficiency and accuracy for engineers.
• BQP’s breakthrough could democratize large-scale CFD simulations, with applications in aerospace and other fields.

PRESS RELEASE — BQP, a startup leading the development of quantum-based engineering simulations, today announced a significant research milestone for simulating Computational Fluid Dynamics (CFD). The milestone was achieved using a hybrid quantum-classical solver, which is part of BQP’s next-gen simulation platform, BQPhy®.

After conducting approximately 100,000 experiments, BQP researchers published their work in a paper where they estimated that large-scale CFD simulation of a jet engine can be achieved with only 30 logical qubits on a quantum computer, leading to better accuracy, efficiency, and costs than current methods. A prior study, which inspired the BQP team to undertake this research, found that it required 19.2 million compute cores to perform this same simulation with classical algorithms on state-of-the-art High-Performance Computers (HPCs).

“This study is pivotal as it would democratize large-scale CFD simulation for every engineer once quantum computers become utility-scale,” said Abhishek Chopra, founder, CEO, and Chief Scientific Officer at BQP. “In the future, what would engineers have easier access to – 19.2 million HPC cores or 30-logical-qubit quantum computers? I bet on the latter.”

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“With continued research, we believe that quantum computing has the potential to revolutionize the way simulations are conducted, allowing engineers to push the boundaries of design and engineering,” Chopra added.

“BQP’s results signal the introduction of drastically higher computing power to flow field analysis and simulation. This capability can unlock new methods in aerospace development, enabling higher confidence during design and more proactive maintenance during the aircraft life cycle,” said Dan Hart, Senior Aerospace Executive and Member of the National Academy of Engineering.

For the research, BQP scientists estimated sociability, accuracy, and consistency for jet engine simulations using BQP’s Hybrid Quantum Classical Finite Method (HQCFM) solver. The study demonstrated the scalability of the HQCFM solver by simulating a non-linear, time-dependent Partial Differential Equation (PDE) from 4 qubits to 11 qubits.

Researchers found that accuracy and consistency were comparable to classical computers, while the HQCFM distinguished itself by running inside a time loop in a transient problem, without propagating any error to the next time step. Obtaining such high accuracy consistently is a significant breakthrough toward more complex simulations beyond the capacity of classical devices.

BQP believes that BQPhy’s solver will allow CFD engineers to simulate a full aircraft for the first time, greatly improving flight patterns during turbulence. Given current trends in supercomputing computational advances, simulating an entire aircraft via classical computing would not be possible until 2080.

BQPhy’s physics-based solver can also be used to solve other PDEs to capture interactions in gas dynamics, traffic flow, or flood waves in rivers. Combined with quantum algorithms, the technology can solve complex equations with reduced hardware demands compared to traditional high-performance computing (HPC) methods, while enabling sophisticated and intricate simulations to be performed effectively.

“Building on our successful collaborations with leading academic institutions, government research agencies such as AFRL, DARPA, industry pioneers, and top academic institutes, BQP is eager to partner with organizations that share our vision for advancing quantum computing solutions,” said Chopra.