Services d'informatique quantique/en: Difference between revisions
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There are several specialized software libraries for performing quantum computing and developing quantum algorithms. You can use these libraries to build circuits that are run on simulators mimicking the performance and results obtained on a quantum computer. These libraries can be used on all of our clusters. | There are several specialized software libraries for performing quantum computing and developing quantum algorithms. You can use these libraries to build circuits that are run on simulators mimicking the performance and results obtained on a quantum computer. These libraries can be used on all of our clusters. | ||
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* [[Snowflurry]], | * [[Qiskit/fr|Qiskit]], for Python commands | ||
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Revision as of 19:59, 30 September 2024
Summary
Our team of quantum computing analysts provides expertise, support and training on quantum computing and hybrid classical-quantum computing. As of the fall of 2024, Calcul Québec will offer access to a 24-qubit superconducting quantum computer called MonarQ, coupled with the Narval cluster.
What is quantum computing? A quantum computer takes advantage of the characteristics of quantum particles (qubits), including superposition of states, constructive and destructive interference, and entanglement. With these properties, a new computational paradigm is in place and promises greater parallelization for solving complex problems that cannot be managed by classical computing systems.
Applications
Optimization of complex problems is one of the most promising areas for quantum computing in several research areas:
- Machine learning: quantum computing can reduce training and processing times;
- Finance: quantum computing can speed up portfolio risk assessment and fraud detection;
- Molecular modeling: quantum computing can simulate more complex chemical systems and simulate reactions in real time;
- Meteorology: quantum computing can increase the number of variables for weather forecasting;
- Logistics: quantum computing can optimize logistics and workflow planning associated with supply chain management.
Software
There are several specialized software libraries for performing quantum computing and developing quantum algorithms. You can use these libraries to build circuits that are run on simulators mimicking the performance and results obtained on a quantum computer. These libraries can be used on all of our clusters.
- PennyLane, for Python commands
- Snowflurry, for Julia commands
- Qiskit, for Python commands
Soutien technique
Pour des questions sur nos services quantiques, écrivez à support@calculquebec.ca.