Qiskit SDK
Business Profile
Core Value Proposition
Qiskit SDK provides a stable, high-performance framework to build and transpile quantum circuits with 100+ qubits.
Target Customer
Researchers, developers, and practitioners in finance, manufacturing, technology, and academia; universities, startups, and enterprises exploring quantum computing and AI.
Key Differentiator
IBM Research links AI, quantum computing, and classical HPC with open-source toolchains (Qiskit, BeeAI, Granite, Docling) and a verifiable, benchmark-driven workflow, plus real-world case studies from enterprise partners.
Implementation Timeline
Pilot implementations and proofs-of-concept are feasible in the near term, with ongoing collaboration and experiments on current IBM Quantum hardware (e.g., Heron processors)
Pain Points
- 1Need for faster, scalable algorithms that combine AI and quantum computing to solve real-world problems
- 2Difficulty modeling complex systems (finance, chemistry, supply chains, climate) with classical computing alone
- 3Requirement for verifiable, demonstrable advantages from quantum-enabled approaches and transparent benchmarking
Key Features
- 1BeeAI Framework for building, deploying, and serving agentic workflows at scale
- 2Docling tool to streamline document preparation for generative AI applications
- 3Granite open-source models designed for trust and scalability in AI-driven applications
- 4Qiskit SDK to easily build and transpile quantum circuits (100+ qubits support)
- 5Qiskit Finance—a framework with uncertainty components and tools for finance problems
Target Customer Industries
Client Results
- 1 HSBC and IBM demonstrated up to a 34% improvement over purely classical techniques in predicting which bond trades would be completed using hybrid quantum-classical methods on IBM Quantum Heron processors
- 2Results were obtained from real experiments on current quantum hardware and were not reproducible on classical simulations
- 3Demonstrations point toward near-term practical value and potential for verifiable quantum advantage in selected use cases
Competitive Advantages
- 1Hybrid quantum-classical approach leveraging current hardware for practical benefits
- 2Evidence from real hardware experiments rather than simulations
- 3Open ecosystem with extensible toolchains and community collaboration (universities, startups, enterprises)
- 4Domain-specific frameworks (e.g., Qiskit Finance) tailored to finance and optimization problems
Key Benefits
Case Studies & Success Stories
HSBC breaks new ground in quantum-enabled algorithmic trading with IBM quantum computers
In collaboration with IBM, HSBC achieved up to 34% improvement over classical methods for predicting which trades would be completed, using hybrid quantum-classical methods on IBM Quantum Heron processors.
Lockheed Martin & IBM combine quantum computing with classical HPC in new research
Partnership exploring the integration of quantum computing with classical HPC to advance research in aerospace/defense manufacturing.
Additional Product Information
Product Description
Open-source framework to build and transpile quantum circuits for IBM Quantum processors and simulators, with support for 100+ qubits.
Target Market
Researchers, developers, and organizations (universities, startups, and enterprises) pursuing quantum computing, AI, and hybrid quantum-classical applications across finance, manufacturing, and technology
Unique Value Proposition
IBM Research combines AI, quantum computing, and classical HPC with open-source tools and a rigorous, benchmark-driven approach, enabling near-term quantum-enabled solutions and a broad, collaborative ecosystem
Technical Requirements
Requires IBM Quantum hardware (Heron processors) or simulators; uses Qiskit SDK along with BeeAI, Docling, and Granite; familiarity with quantum computing and/or AI workflows
Pricing Model
Not disclosed in the provided content
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