Services d'informatique quantique/en: Difference between revisions
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(Created page with "== 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...") |
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<b>What is quantum computing?</b> A quantum computer takes advantage of the characteristics of quantum particles (<i>qubits</i>), 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. | <b>What is quantum computing?</b> A quantum computer takes advantage of the characteristics of quantum particles (<i>qubits</i>), 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 == | == 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. | ||
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Revision as of 19:54, 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.
Logiciels de calcul quantique
Il existe plusieurs bibliothèques logicielles spécialisées pour faire du calcul quantique et pour développer des algorithmes quantiques. Ces bibliothèques permettent de construire des circuits qui sont exécutés sur des simulateurs qui imitent la performance et les résultats obtenus sur un ordinateur quantique. Elles peuvent être utilisées sur toutes les grappes de l’Alliance.
- PennyLane, bibliothèque de commandes en Python
- Snowflurry, bibliothèque de commandes en Julia
- Qiskit, bibliothèque de commandes en Python
Soutien technique
Pour des questions sur nos services quantiques, écrivez à support@calculquebec.ca.