Tag: Introduction to variational algorithms
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Reference states – Designing variational algorithms
In quantum computing, a ‘reference state’ serves as the starting point for variational algorithms, akin to a starting point in a maze. The creation of these states can range from simple ‘default states’ to complex ones involving superposition and entanglement. For advanced needs, template circuits like TwoLocal or feature maps in Quantum Machine Learning can…
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Introduction to designing variational algorithms in quantum computing
Embarking on the cutting edge of quantum computing, variational algorithms emerge as a beacon of promise, seamlessly marrying quantum and classical computing realms. This technological fusion is orchestrated through a delicate dance of cost functions, ansatz configurations, and classical optimizers. Qiskit, a quantum programming framework, serves as our guide through this hybrid landscape, offering a…