BQP
BQP (formerly BosonQ Psi) develops BQPhy, a quantum-inspired optimization and digital twin platform that solves complex engineering problems on existing CPU/GPU infrastructure, serving aerospace, defense, semiconductor, and energy customers including Boeing, Lockheed Martin, and the U.S. Air Force.
- Company typePrivate
- Founded2020
- HeadquartersSyracuse, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What BQP does
BQP (formerly BosonQ Psi) is a quantum-inspired simulation software company founded in 2020 by Abhishek Chopra and headquartered in Syracuse, NY, with an engineering R&D hub in Bengaluru, India. The company develops BQPhy, a unified digital twin platform that combines probabilistic algorithms from quantum information science with proprietary solvers to address complex engineering optimization, physics-based simulation, and machine learning workloads. BQP's strategic insight is delivering quantum-native algorithmic performance on existing CPU/GPU infrastructure today, eliminating dependency on fault-tolerant quantum hardware for near-term commercial value while remaining architecturally ready for future quantum systems.
The BQPhy platform comprises three integrated solvers—an Optimization Solver for NP-hard design and scheduling problems, a Physics Solver for computational fluid dynamics (CFD), and a Data Driven Solver for machine learning and physics-informed neural network workloads. The platform is accessible through cloud deployment, MATLAB Toolbox, Python SDK, and enterprise REST APIs. Technical milestones include QA-PINN (25X speed-up for CFD training) and a VQLS implementation that achieved 100X circuit compression in a Classiq-NVIDIA QCFD collaboration. Named design partners and case-study customers include Boeing, Lockheed Martin, Airbus, Raytheon Technologies, the U.S. Air Force, AFRL, the Department of Defense, ABB, and the Indian Ministry of Heavy Industries, with quantified outcomes such as reducing 14-UAV mission planning from 6 hours to 38 minutes at Lockheed Martin and achieving $4.3M in supply chain holding-cost reductions at Raytheon.
BQP operates a subscription-based revenue model with tiered Academic, Research, and Enterprise licensing distributed primarily through direct enterprise sales, proof-of-concept engagements, and self-serve cloud trials. The company has raised $6.6 million in total funding, including a $525,000 pre-seed in 2022 led by 3to1 Capital and a $4.9M oversubscribed seed round in July 2025 led by Monta Vista Capital with participation from New York Ventures, Arc Ventures, Armory Square Ventures, and others. Strategic ecosystem alliances with NVIDIA, IBM, Intel, MathWorks, and Classiq anchor distribution and third-party validation, while a CRADA with AFRL provides government-sector credibility in the simulation industry, which the company sizes at $22 billion.
BQP firmographics
Firmographics- Name
- BQP
- Legal name
- BQP
- Website
- https://bqpsim.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- BQP (formerly BosonQ Psi) develops BQPhy, a quantum-inspired optimization and digital twin platform that solves complex engineering problems on existing CPU/GPU infrastructure, serving aerospace, defense, semiconductor, and energy customers including Boeing, Lockheed Martin, and the U.S. Air Force.
- Ownership category
- akta.pro rank
BQP industry classification
Industry- Product category
- Quantum-Inspired Engineering Simulation Software
- akta.pro primary industry
- Quantum-Safe Cryptographic Algorithms & Protocols (PQC) (HDAGAGAC)
- akta.pro secondary industry
- B2B SaaS & Enterprise Personalization (CRM, Sales, Support) (HDAAAGAJ)
Keywords
Where BQP is headquartered
LocationHeadquarters
- HQ city
- Syracuse
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
BQP business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- BQPhy Platform Licensing: Subscription-based licensing of BQPhy platform with tiered access based on academic, research, and enterprise usage requirements. Platform available via cloud access, MATLAB integration, Python SDK, and enterprise APIs.
- Academic Licensing: Licensing designed for universities and academic institutions conducting research, coursework, and experimentation in optimization and quantum-inspired algorithms.
- Research Licensing: Built for research labs and advanced engineering teams exploring large-scale optimization and quantum-inspired algorithm development with GPU-accelerated workflows.
- Enterprise Licensing: Full platform access for organizations deploying optimization solutions for mission-critical applications across aerospace, defense, energy, logistics, and industrial systems.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Academic licensing for universities and research institutions |
| Subscription | Annual | Research licensing for research labs and advanced engineering teams |
| Subscription | Annual | Enterprise licensing for organizations deploying mission-critical optimization |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels6 records
BQP product offering
Product offeringCore offering
BQP develops and licenses BQPhy, a quantum-first simulation platform that delivers quantum-inspired optimization, physics-based CFD, and data-driven solvers to solve complex engineering optimization problems on existing CPU/GPU/HPC infrastructure. The platform is sold via tiered subscription licensing (Academic, Research, Enterprise) and accessed through cloud, MATLAB Toolbox, Python SDK, and enterprise APIs, targeting mission-critical workflows in aerospace, defense, semiconductor, and energy industries.
Product overview
BQP offers BQPhy, a unified quantum-first simulation platform that integrates three core solvers: BQPhy Optimization Solver for design and mission-critical optimization, BQPhy Physics Solver for computational fluid dynamics and physics-based simulations, and BQPhy Data Driven Solver for machine learning applications. The platform is accessible through multiple deployment options including BQPhy Cloud Platform, BQPhy MATLAB Toolbox, Python SDK, and Enterprise REST APIs. BQPhy combines probabilistic algorithms from quantum information science with proprietary quantum-inspired solvers to deliver approximately 10X performance boost on existing CPU/GPU infrastructure while remaining architecturally ready for future quantum computers (up to 1000X gains with quantum-native solvers). Target industries include aerospace, defense, semiconductors, energy, automotive, and logistics.
Differentiator
Problem solved
Functional benefit
Brands
- BQPhy: Quantum-accelerated digital twin platform for mission-critical engineering simulations, including optimization, machine learning, and physics-based CFD simulations.
- BQPhy Optimization Solver
- BQPhy Physics Solver
- BQPhy Data Driven Solver
Products and services
- BQPhy Platform Unified quantum-first simulation platform combining quantum-inspired optimization, physics-based simulation, and digital twin capabilities for mission-critical engineering applications in aerospace, defense, semiconductor, and energy industries.
- BQPhy Optimization Solver Quantum-inspired optimization solver delivering faster results for complex design optimization, DME optimization, mission scheduling, placement optimization, and load optimization problems. Handles linear and non-linear optimization with a quantum-inspired approach exploring vast design spaces, targeted at engineering teams in aerospace, defense, and semiconductor industries.
- BQPhy Physics Solver Physics-based solver for computational fluid dynamics (CFD) and engineering physics simulations. Supports hybrid quantum-classical workflows for large-scale fluid dynamics simulation with quantum-native solvers.
- BQPhy Data Driven Solver Data-driven solver incorporating machine learning capabilities and physics-informed neural networks for predictive modeling and simulation-driven optimization across engineering domains.
- BQPhy MATLAB Toolbox Native integration enabling BQPhy to run directly from the MATLAB environment with a built-in package, auto-configuration during installation, and direct solver invocation for quantum-inspired optimization within MATLAB workflows.
- BQPhy Python SDK Python-native software development kit for integrating BQPhy into Python-based workflows. Supports fast experiments, programmatic solver access, and batch runs for engineering and research teams.
- BQPhy Enterprise APIs REST APIs with secure bearer token authentication for connecting BQPhy with internal enterprise platforms, pipelines, and system-to-system integrations. Supports air-gapped and secure enterprise deployments.
- BQPhy Cloud Platform Cloud-based deployment option for BQPhy enabling instant access without infrastructure changes. Includes GPU-accelerated optimization workflows and proof-of-concept benchmarking environments.
Quantifiable outcome
- 20X faster performance than classical methods for aerospace and defense optimization
- +7 more outcomes
Companies that use BQP
Customer profileNamed customers9 records
Segments7 records
Ideal customer profiles4 records
BQP technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability3 records
Feature7 records
BQP partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and minor.
- Air Force Research Laboratory (AFRL/RQ)coreStrategic CRADA collaboration with AFRL Aerospace Systems Directorate to accelerate mission-critical modeling and simulation capabilities with quantum computing. This is BQP's primary government research partnership.
- NVIDIAcoreTechnology partnership for hybrid quantum-classical simulation demonstrating quantum-classical workflow for digital twin and CFD workloads. BQP collaborated with Classiq and NVIDIA achieving 100X circuit compression in QCFD.
- IBMcoreEcosystem partnership with IBM for quantum computing integration and access to IBM's quantum systems and services.
- IntelcoreEcosystem partnership with Intel for quantum computing integration and technology collaboration.
- ClassiqcoreJoint demonstration with Classiq and NVIDIA showcasing hybrid quantum-classical simulation platform for digital twin and CFD workloads.
- MathWorkscoreMATLAB integration partnership making BQPhy available through MathWorks File Exchange for seamless integration with existing MATLAB workflows.
- NORDTECH HubminorActive member of NORDTECH Hub quantum ecosystem for collaboration with regional technology partners.
- Rensselaer Polytechnic Institute (RPI)coreRPI launched a credit course on Quantum Inspired Optimization (QIO) developed in collaboration with BQP, supported by RPI Center for Data Analytics (RCIDA) and Future of Computing Institute (FOCI).
- NUAIRcoreCraig Marcinkowski, President and CEO of NUAIR, appointed to BQP Board of Directors to support U.S. growth in defense and aerospace markets.
Scale indicators12 records
Recent moves6 records
Expansion highlights7 records
BQP competitors and assessment
Company assessmentDirect peers
- Multiverse Computing: Quantum-inspired software company offering optimization and simulation products for finance, energy, and industrial customers. Closest direct competitor to BQP's quantum-inspired optimization and digital twin positioning.
- QC Ware: Enterprise quantum and quantum-inspired software provider serving Fortune 500 customers in aerospace, finance, and life sciences. Competes directly with BQP in the quantum-hybrid optimization space.
- 1QBit: Quantum computing software company focused on optimization, simulation, and machine learning workloads for enterprise customers; overlaps with BQP's optimization and ML use cases.
- Zapata AI (now Zapata Computing): Quantum-inspired generative AI and optimization platform targeting enterprise use cases in materials, chemistry, and industrial workflows. Similar quantum-classical hybrid positioning to BQP.
- Classiq: Quantum software development platform for designing and executing quantum algorithms; an existing BQP collaborator that also competes in the broader quantum-inspired software ecosystem.
- Strangeworks: Quantum computing platform providing enterprise access to quantum hardware and software; an existing BQP partner that also overlaps in quantum-hybrid product positioning.
Broad incumbents
- Ansys: Established engineering simulation software incumbent serving aerospace, defense, automotive, and semiconductor with classical FEA/CFD solvers; competes at the application layer with BQP's physics solver use cases.
- Siemens Digital Industries Software: Major engineering simulation and digital twin platform (formerly Mentor Graphics plus Xcelerator) with deep aerospace and automotive customer penetration; broad incumbent in BQP's target verticals.
- Altair Engineering: Engineering simulation, optimization (HyperWorks/OptiStruct), and HPC software provider with strong A&D presence; competes directly with BQP's optimization and physics solver offerings.
Emerging players
- D-Wave Systems: Quantum annealing hardware and hybrid solver platform targeting optimization use cases in logistics, manufacturing, and defense; competes at the quantum-hybrid optimization layer with BQP.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
BQP social profiles
Digital presenceBQP financial estimates
Financial estimateRevenue estimate
Valuation estimate
BQP leadership team
Management profileNumber of profiles
Profiles5 records
BQP funding detail
Funding detailFunding overview
Funding rounds9 records
Investors19 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
BQP M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about BQP
What does BQP do?
BQP develops and licenses BQPhy, a quantum-first simulation platform that delivers quantum-inspired optimization, physics-based CFD, and data-driven solvers to solve complex engineering optimization problems on existing CPU/GPU/HPC infrastructure. The platform is sold via tiered subscription licensing (Academic, Research, Enterprise) and accessed through cloud, MATLAB Toolbox, Python SDK, and enterprise APIs, targeting mission-critical workflows in aerospace, defense, semiconductor, and energy industries.
Is BQP a public or private company?
BQP is a private company. It is classified as venture growth investor backed and is currently operating.
When was BQP founded?
BQP was founded in 2020. It employs 51 to 100 people.
Where is BQP based?
BQP is headquartered in Syracuse, United States, in the North America region.
How does BQP make money?
Four revenue lines are on record. BQPhy Platform Licensing is the primary driver. The others are academic Licensing, research Licensing and enterprise Licensing.
Who are BQP's main competitors?
Direct peers on record are Multiverse Computing, QC Ware, 1QBit, Zapata AI (now Zapata Computing), Classiq and Strangeworks. Broad incumbents are Ansys, Siemens Digital Industries Software and Altair Engineering. D-Wave Systems is listed as an emerging player.
Does BQP have an API?
Yes. BQPhy offers Enterprise APIs for connecting with internal platforms and pipelines. Standard REST APIs with secure bearer token authentication, built for system-to-system enterprise deployment.
What industry is BQP in?
BQP's product category is Quantum-Inspired Engineering Simulation Software. Its primary akta.pro industry code is HDAGAGAC, Quantum-Safe Cryptographic Algorithms & Protocols (PQC), with a secondary code of HDAAAGAJ, B2B SaaS & Enterprise Personalization (CRM, Sales, Support).