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Run quantum tasks, benchmark backends, create quantum solutions, distribute to the community
- everything from a single account.
Get startedContact usRun quantum tasks, benchmark backends, create quantum solutions, distribute to the community
- everything from a single account.
Get startedContact usUse our quickstart templates to build your first quantum solution in minutes. Develop and debug locally and run your hybrid workloads directly on powerful cpu, gpu and qpu without additional infrastructure complexity.
Easily orchestrate services on PlanQK for example to build benchmarking pipelines to compare different quantum backends, solvers, simulators or even warm-starting approaches to investigate quantum for your use cases.
Access a wide range of quantum solutions in the community-driven marketplace. Easily monetize your own quantum solutions as API products - we handle usage monitoring and billing.
Showcase your expertise via use cases, example implementations, demonstrators and algorithms. Publish your profile to gain visibility in the community and to be matched by customers.
Together we push the boundaries of what's possible today to unleash quantum computing's potential of tomorrow.
Support for major quantum backends: D-Wave, IBM Quantum, IonQ, OQC, Rigetti
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Compatible with leading quantum SDKs
Use classical and AI-enabling GPU resources
APIfication of your quantum code
Execute quantum workloads and store results
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This use case applies a quantum clustering algorithm on Customer Relationship Management (CRM) data to find patterns in the digital fingerprint of customers of a telecommunication provider. The goal of this use case is to analyze the normal behavior of customers based on network data, domains, and connected devices to predict when a customer is available to receive calls from the provider.
The quantum route optimizer helps delivery companies reduce operational costs and improve efficiency. Combining the power of quantum optimization with classical graph clustering we unlock new levels of delivery optimization. With PlanQK, we have made our solution accessible as a quantum service that can be easily integrated into existing software.
Quantagonia hosts its innovative HybridSolver, a mathematical optimization solver, on PlanQK. The HybridSolver uses a cutting-edge classical and quantum approach to tackle complex optimization computers, delivering a great performance on today’s computers and an on-ramp to incredible performance with quantum computers.
Cyberattacks on critical infrastructure have become a dangerous and ubiquitous symptom of our modern digital world. One of the crucial cornerstones in fending off network attacks is detecting that they happen in the first place. Intrusion detection systems (IDS) analyze the incoming network traffic and assess if an incoming request is dangerous or not according to a set of hardcoded rules.
The goal of this use case is the automated detection of fraudulent credit card transactions with high precision and low false negative rate. Undetected fraud carries high potential losses. Hence, the detection needs to have a high sensitivity to reduce the risk of unfaithful transactions. A secondary goal is to reduce the false positive rate, i.e. reduce the rate of transactions falsely flagged as fraudulent.
The simulation of quantum mechanical properties of small to medium sized molecules is an application field for quantum computers where first quantum advantages can be achieved. This is of particular interest to the chemical or pharmaceutical industry, as a (sometimes minimal) better understanding of molecular properties can lead to, for example, more efficient production or reduced material consumption.