# Kipu Quantum

> Fast track to Quantum Advantage. Kipu Quantum is a quantum software company that has been developing quantum algorithms on real quantum hardware since 2021. Along the way, we built quantum applications and turned the recurring quantum circuits into ready-to-use solvers. The result: world-class algorithms you can apply in minutes.

Build with Quantum-centric Intelligence: AI agents take you from problem to quantum solution on the Kipu Quantum Hub, the development tool for enterprises, researchers, and developers. Tinkuq, the quantum matchmaking agent, evaluates your application idea. Use the assessment to build Docker containers with the qhub SDK and connect your LLM via MCP. Distribute to end-users via API.

Kipu Quantum GmbH is headquartered in Berlin, Germany. Its products span quantum optimization, sampling, simulation, and quantum-enhanced machine learning: Iskay Quantum Optimizer (QUBO/HUBO optimization, available in IBM's Qiskit Functions Catalog), Rimay Quantum Feature Extraction (quantum machine learning with classical inference in production), and the Kipu Quantum Hub (consumption-based pricing, tiered access). The Hub offers a complete development stack for sharing quantum resources and building quantum applications: quantum hardware access from IBM, IonQ, IQM, QuEra, Pasqal, and Rigetti; orchestration with the qhub SDK, MCP, data pools, and classical compute; solvers as readily available algorithms; and hosting that turns Docker containers into API endpoints for hybrid quantum-classical workflows.

## Pages

- [Unlock Quantum-centric Intelligence](https://kipu-quantum.com/): Build enterprise-ready quantum solutions without quantum computing knowledge. Kipu Quantum turns complex challenges into competitive advantage on real hardware.
- [Quantum Computing Made Simple](https://kipu-quantum.com/product): Kipu Quantum Hub abstracts quantum complexity so teams can build enterprise-grade apps (optimization, sampling, feature mapping) without quantum expertise.
- [Iskay Quantum Optimizer](https://kipu-quantum.com/iskay): Iskay by Kipu Quantum: a QUBO and HUBO solver in the IBM Qiskit Functions Catalog. BF-DCQO reaches optima up to 80x faster than CPLEX. Also on the Hub as Miray.
- [Rimay Quantum Feature Extraction](https://kipu-quantum.com/rimay): Rimay by Kipu Quantum: quantum feature extraction turning tabular data into ML features, with a classical surrogate for classical deployment. Free sim plus IBM Heron.
- [Kipu Quantum CLI (qhubctl)](https://kipu-quantum.com/cli): qhubctl is the CLI for the Kipu Quantum Hub. Authenticate, scaffold and serve a service, deploy it as a live REST endpoint, and run 20+ quantum solvers from your terminal.
- [Quantum Computing in Action](https://kipu-quantum.com/examples): Real-world applications where quantum computing delivers measurable business value, from pharmaceutical discovery to supply chain optimization.
- [Quantum Hardware. On Your Credit Card.](https://kipu-quantum.com/consumption): Buying time on real quantum systems is now as simple as a credit card payment. 20+ quantum backends, one platform. No procurement, no framework agreements.
- [Choose Your Quantum-centric AI Journey](https://kipu-quantum.com/pricing): Free plan stays free. Pay-as-you-go on all tiers. Transparent pricing for individuals, researchers, and enterprises building quantum applications.
- [About Kipu Quantum](https://kipu-quantum.com/about): We are pioneers in quantum-centric intelligence, making quantum computing frictionless to enterprises, researchers, and institutions worldwide.
- [Contact](https://kipu-quantum.com/contact): Reach out to Kipu Quantum. Your dedicated contacts for sales, partnerships, research, and technical support.
- [Paper](https://kipu-quantum.com/paper): Explore the latest research publications and technical papers from Kipu Quantum on quantum algorithms, error correction, and quantum advantage.
- [Kipu Academy: Certify a Quantum-Centric Application](https://kipu-quantum.com/academy): A certification programme by Kipu Quantum. Learn quantum-classical workflows, practise on real hardware via the Kipu Hub, and ship your own application.
- [Webinars](https://kipu-quantum.com/webinars): Join live or catch up on recordings. Deep dives into quantum computing from the Kipu Quantum team and partners.
- [Blog](https://kipu-quantum.com/blog): Technical articles and research insights from the Kipu Quantum team covering quantum optimization, sampling, machine learning, and hardware co-design.
- [Latest News](https://kipu-quantum.com/news): Stay updated with the latest developments, partnerships, and breakthroughs from Kipu Quantum.
- [Imprint](https://kipu-quantum.com/imprint): Legal information pursuant to Section 5 German Digital Services Act (DDG) for Kipu Quantum GmbH.
- [Privacy Policy](https://kipu-quantum.com/privacy): How Kipu Quantum handles your personal data in compliance with the GDPR.
- [Quantum Optimization Quickstart](https://kipu-quantum.com/academy/tutorials/quantum-optimization-quickstart): Run your first quantum optimization in a few lines of Python, with Iskay on IBM Quantum or Miray on the Kipu Quantum Hub. Copy the code and follow along.
- [How Quantum Portfolio Optimization Helps Finance](https://kipu-quantum.com/academy/tutorials/quantum-portfolio-optimization): Build a cardinality-constrained portfolio selector with a three-body risk term on Kipu's quantum optimizer. Python for Iskay and Miray. Part 1 of 2.
- [Scaling Quantum Portfolio Optimization to the S&P 500](https://kipu-quantum.com/academy/tutorials/quantum-portfolio-optimization-part-2-scaling): Scale the kernel past the simulator's qubit limit by decomposition, as Kipu and IonQ did to reach 250 S&P 500 names on trapped ions. Part 2 of 2.
- [Run Long-Running Quantum Experiments on the Hub](https://kipu-quantum.com/events): Run long-running quantum experiments remotely, kept in one shareable history. Free simulators plus IBM, IonQ, IQM, QuEra, Rigetti and Pasqal hardware, all from the CLI.
- [Quantum Optimization & Machine Learning in Action](https://kipu-quantum.com/flyer): How Kipu Quantum delivers results in quantum optimization and quantum machine learning, with real-world cases on real hardware via the Kipu Quantum Hub.
- [Connect AI Agents to Quantum Hardware via MCP](https://kipu-quantum.com/mcp): Connect Claude, Cursor or any MCP client to the Kipu Quantum Hub over OAuth. Run quantum solvers on IBM, IonQ, Rigetti and IQM, then deploy results as REST APIs.
- [Paqari: The Quantum-centric AI Agent](https://kipu-quantum.com/paqari): Paqari is Kipu Quantum's quantum-centric AI agent. Describe an optimization or ML problem in plain language; Tinkuq checks if quantum helps, then Paqari builds and runs it.

## Research & engineering blog

- [Analog Quantum Convolutions for Image Classification](https://kipu-quantum.com/blog/analog-quantum-convolutions-for-advanced-image-classification): D-Wave Advantage2 fast-annealing generates quantum-convolved image features, for a 2.72% AUC improvement and 1.85% accuracy gain over classical baselines.
- [Analog Quantum Feature Selection with Neutral Atoms](https://kipu-quantum.com/blog/analog-quantum-feature-selection-with-neutral-atoms): Feature selection as a QUBO problem solved on neutral-atom analog quantum hardware, showing exponential search-space reduction for ML classification tasks.
- [Branch-and-Bound Counterdiabatic Quantum Optimization](https://kipu-quantum.com/blog/branch-and-bound-digitized-counterdiabatic-quantum-optimization): BBB-DCQO combines classical branch-and-bound with BF-DCQO to beat D-Wave annealing on dense 100-variable HUBO problems, with up to 4.2× fewer qubits.
- [Classical Surrogates for Quantum Feature Extraction](https://kipu-quantum.com/blog/classical-surrogates-for-quantum-feature-extraction): Quantum feature extraction lifts ML accuracy but needs a QPU at inference. Classical surrogates on quantum data keep the gains, deployed classically.
- [Digital-Analog Quantum Computing for HUBO Problems](https://kipu-quantum.com/blog/digital-analog-quantum-computing-for-higher-order-problems-at-the-quantum-advantage-level): Digital-analog counterdiabatic quantum computing beyond two-body Hamiltonians, tackling HUBO problems and simulations at the quantum-advantage level.
- [Digital-Analog Quantum Error Correction](https://kipu-quantum.com/blog/digital-analog-quantum-error-correction): Kipu Quantum's DAQEC bridges QEC protocols with today's hardware, a hardware-specific path to logical qubit fidelity without prohibitive qubit overhead.
- [Digitized Counterdiabatic Quantum Feature Extraction](https://kipu-quantum.com/blog/digitized-counterdiabatic-quantum-feature-extraction): Quantum many-body spin dynamics extract features from medical data: 5.5% AUC gain on tumor detection, 121% precision gain on toxicity classification.
- [Digitized Counterdiabatic Quantum Sampling (DCQS)](https://kipu-quantum.com/blog/digitized-counterdiabatic-quantum-sampling): DCQS enables efficient Boltzmann sampling on IBM hardware, with ~2× runtime advantage over parallel tempering for spin-glass Hamiltonians at 156 qubits.
- [Feature Mapping for Industrial Machine Learning](https://kipu-quantum.com/blog/feature-mapping-and-industrial-machine-learning-applications): Encoding molecular toxicity and cardiac datasets into D-Wave Advantage2 dynamics to generate features that boost classical ML performance.
- [Hybrid Sequential Quantum Computing](https://kipu-quantum.com/blog/hybrid-sequential-quantum-computing): HSQC runs classical and quantum optimization stages in sequence, up to 700× faster than simulated annealing on dense HUBO problems on IBM 156-qubit chips.
- [Kipu Quantum at AI in Drug Discovery 2025](https://kipu-quantum.com/blog/kipu-quantum-at-ai-in-drug-discovery-2025): Kipu Quantum at AI in Drug Discovery 2025 in London, discussing how quantum-enhanced AI can accelerate drug candidate screening and molecular simulation.
- [Kipu's Quantum One-Stop-Shop for Industrial Usefulness](https://kipu-quantum.com/blog/industrial-quantum-usefulness): Kipu Quantum enters the Industrial Quantum Usefulness era: algorithms beating classical baselines in optimization, ML and AI via the Kipu Quantum Hub.
- [Material Design at the Quantum-Advantage Level](https://kipu-quantum.com/blog/pushing-boundaries-in-material-design-at-the-quantum-advantage-level): Digitized counterdiabatic protocols on 156-qubit IBM hardware cut defect formation by up to 48 % versus quantum annealing, advancing materials simulation.
- [Quantum Advantage with Digital-Analog Computing (DAQC)](https://kipu-quantum.com/blog/unlocking-quantum-advantage-with-digital-analog-quantum-computing-daqc): DAQC combines gate-based control with native analog dynamics to reach quantum advantage on commercial processors, still underexplored by hardware makers.
- [Quantum Optimization Benchmark: Intractable Decathlon](https://kipu-quantum.com/blog/quantum-optimization-benchmark-library-the-intractable-decathlon): A standardized suite of ten hard combinatorial optimization problems to measure quantum algorithm progress against state-of-the-art classical solvers.
- [Quantum-Enhanced Memetic Tabu Search](https://kipu-quantum.com/blog/scaling-advantage-quantum-enhanced-memetic-tabu-search): QE-MTS combines digitized counterdiabatic quantum sampling with classical memetic tabu search for a measurable scaling advantage on the LABS benchmark.
- [Quantum-Reasoning LLM (QR-LLM): Quantum Intelligence](https://kipu-quantum.com/blog/quantum-intelligence): QR-LLM recasts LLM chain-of-thought reasoning as a HUBO problem solved on commercial quantum processors, improving accuracy and cutting redundancy.
- [Reading Toxicity of Molecules with Neutral-Atom Quantum Processors](https://kipu-quantum.com/blog/reading-toxicity-of-molecules-with-neutral-atom-quantum-processors): A neutral-atom quantum processor generates quantum features that improve molecular toxicity prediction beyond classical methods — an early step toward accuracy quantum advantage for molecular toxicity classification.
- [Runtime Quantum Advantage with BF-DCQO (I)](https://kipu-quantum.com/blog/runtime-quantum-advantage-with-bf-dcqo): BF-DCQO on IBM's 156-qubit Heron reaches solutions up to 80× faster than CPLEX and 12× faster than simulated annealing on complex HUBO problems.
- [Runtime Quantum Advantage with BF-DCQO (II)](https://kipu-quantum.com/blog/runtime-quantum-advantage-with-bf-dcqo-ii): BF-DCQO benchmarked against quantum annealing and linear-ramp QAOA: consistent runtime advantage on HUBO problems, no variational parameter overhead.
- [Sequential Quantum Computing](https://kipu-quantum.com/blog/sqc): SQC links quantum processors in series, combining D-Wave analog and IBM digital hardware to overcome bottlenecks and unlock advanced capabilities today.
- [The Timeless Thread of Information](https://kipu-quantum.com/blog/the-timeless-thread-of-information): From ancient Incan quipus to the 1.3-billion-light-year Quipu structure: how information encoding threads through history into quantum computing.
- [Unlocking the Power of Quantum Computing](https://kipu-quantum.com/blog/iskay-quantum-optimizer-by-kipu-quantum): The Iskay Quantum Optimizer solves complex optimization problems on IBM quantum computers through a simple interface. No quantum expertise required.

## News

- [EETimes: BASF and Kipu on Quantum Computing Mastery](https://kipu-quantum.com/news/basf-partnership): Kipu Quantum partners with BASF to bring hardware- and application-specific quantum algorithms to industrial use cases, speeding the path to advantage.
- [Kipu and NVIDIA Advance Hybrid Quantum Optimization](https://kipu-quantum.com/news/nvidia-cineca-partnership): Building on QE-MTS, Kipu Quantum and NVIDIA extend quantum-enhanced optimization to 43 qubits on the CINECA Leonardo supercomputer using CUDA-Q.
- [Kipu Expands Team with World-Renowned Scientists](https://kipu-quantum.com/news/team-expansion): Kipu Quantum announces strategic hires from leading research institutions, strengthening quantum algorithm research and industrial application development.
- [Kipu Quantum Named a Quantum Computing Leader](https://kipu-quantum.com/news/industry-recognition): An analyst report recognizes Kipu Quantum's hardware-aware algorithms and their performance gains over classical methods in industrial applications.
- [Kipu Starts Commercial Quantum Advantage Era](https://kipu-quantum.com/news/commercial-quantum-advantage-era): Kipu Quantum solves complex HUBO problems on IBM 156-qubit processors, showing runtime quantum advantage over classical solvers on industry-relevant tasks.
- [Kipu: Quantum-centric Intelligence](https://kipu-quantum.com/news/quantum-centric-intelligence): Kipu Quantum launches its quantum-centric intelligence platform, letting teams describe what to solve and reach a working quantum solution in minutes.
- [Major Breakthrough in Quantum Error Correction](https://kipu-quantum.com/news/quantum-error-correction-breakthrough): Digital-analog quantum error correction shows strong logical qubit fidelity on commercial hardware, paving the way for large-scale quantum applications.
- [New Collaboration with Lufthansa Industry Solutions](https://kipu-quantum.com/news/lufthansa-collaboration): Kipu Quantum teams with Lufthansa Industry Solutions to apply quantum optimization to airline planning, from route scheduling to crew management.
- [QInnovision Consortium Welcomes Kipu Quantum](https://kipu-quantum.com/news/qinnovision-consortium): Kipu Quantum joins the QInnovision Consortium as its first startup member, recognized for hardware-specific quantum solutions in pharma and logistics.
- [Quantum Advantage Demonstrated in Material Design](https://kipu-quantum.com/news/quantum-advantage-material-design): Kipu Quantum shows major runtime gains over classical methods simulating material properties, opening paths to next-generation materials discovery.
- [Quantum Hub Platform Launch: Enhanced Features](https://kipu-quantum.com/news/quantum-hub-platform-launch): Kipu Quantum unveils a major Quantum Hub update: redesigned interface, expanded docs and seamless integration with leading quantum hardware providers.
- [Quantum-Enhanced AI, Deployable in Production](https://kipu-quantum.com/news/quantum-enhanced-ai-production): Kipu Quantum's new framework trains quantum-enhanced ML models on a quantum processor and deploys them on classical hardware at classical cost and latency.
- [R, Cinfo and Kipu Optimize Telecommunication Networks](https://kipu-quantum.com/news/r-cinfo-telecom-optimization): A quantum pilot with Galician operator R and Cinfo tests optical fiber network resilience on D-Wave and QuEra, with commercial usefulness expected by 2025.

## Optional

- [Full text of every page (single file)](https://kipu-quantum.com/llms-full.txt)
- [XML sitemap](https://kipu-quantum.com/sitemap.xml)
- [Kipu Quantum Hub documentation](https://docs.hub.kipu-quantum.com/)