What question did this study set out to answer?

To develop analytic recipes for evaluating exact gradients of quantum expectation values directly on quantum hardware without modifying the underlying architecture.

March 21, 2019Physical review. A/Physical review, AOpen Access

Evaluating analytic gradients on quantum hardware

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To develop analytic recipes for evaluating exact gradients of quantum expectation values directly on quantum hardware without modifying the underlying architecture.
Formulated mathematical frameworks generalizing gradient estimation techniques from discrete qubit platforms to continuous-variable quantum architectures.
Analyzed parameter-shift evaluation strategies across duplicate circuit executions and ancilla-assisted gate-conditioning schemes.
Demonstrated that running the original quantum circuit twice with shifted gate parameters directly yields exact gradient components for standard parameterized gates.
Provided generalized analytical methods using a single ancilla-conditioned gate to evaluate gradients across arbitrary and continuous-variable quantum circuits.

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Implication

Algorithmic study demonstrates direct estimation of analytic gradients in variational quantum circuits, highlighting efficient hybrid quantum-classical optimization.

Cite This Study

Schuld et al. (2019) studied this question.

synapsesocial.com/papers/69d76b01b4cef8fedc48fd0b https://doi.org/10.1103/physreva.99.032331

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Implication

Algorithmic study demonstrates direct estimation of analytic gradients in variational quantum circuits, highlighting efficient hybrid quantum-classical optimization.

Evaluating analytic gradients on quantum hardware

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Implication

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Evaluating analytic gradients on quantum hardware

Key Points

Discussion

Implication

Cite This Study

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