Tools for quantum computing based on decision diagrams Schematic representation of a variational circuit for qml. a Hybrid quantum-classical algorithm accelerates dynamic mode qmdd a decision diagram structure for reversible and quantum circuits
Tools for Quantum Computing Based on Decision Diagrams
Quantum circuit diagram of qsmc_and protocol against... (pdf) a decision diagram package for reversible and quantum circuit 12. qmdd size for the circuits of table 4.4.
Optimisation of distributed quantum circuits
Architecture of quantum dynamics simulation using the modifiedComplete experimental phase diagram, showing quantum disordered (qd Top: mapping from the quantum random circuit (a) with both projectiveThe quantum circuits for qrds preparations.
Tools for quantum computing based on decision diagramsThe qmdd structure. Implementation of quantum deep reinforcement learning using variationalMatrix and qmdd representation of a 3-qubit quantum circuit.

An illustration of a small section of a modular version of the qccd
(pdf) design of reversible logic circuits using quantum dotFigure 1 from synthesis of reversible and quantum circuit using rocbdd Tools for quantum computing based on decision diagramsEfficient implementation of quantum circuit simulation with decision.
Quantum circuit design. (a) the overall circuit structure. each(pdf) approximating decision diagrams for quantum circuit simulation Decision diagrams for symbolic verification of quantum circuits – 鴻海研究院The qmdd structure..

Approximating decision diagrams for quantum circuit simulation
Tools for quantum computing based on decision diagramsFigure 1 from variational quantum circuits for deep reinforcement [pdf] a reorder trick for decision diagram based quantum circuit(pdf) arrays vs. decision diagrams: a case study on quantum circuit.
(pdf) qmdd: a decision diagram structure for reversible and quantumFigure 1 from synthesis of reversible and quantum circuit using rocbdd Qmd model phase diagram without baryonic degrees of freedom (d = 0): 1dRegression-decision-tree based parameter optimization of measurement.









