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Diff for: docs/industrial_optimization/index_examples_advanced.rst

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@@ -44,22 +44,21 @@ These examples use the |cloud| service's :term:`quadratic model` solvers.
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:link: opt_example_bqm_structuralimbalance
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:link-type: ref
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Solves an unconstrained problem using the |cloud| service's hybrid
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:term:`BQM` solver.
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Solves an unconstrained problem using the |cloud| service's hybrid BQM
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solver.
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.. grid-item-card:: :ref:`opt_example_dqm_map`
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:link: opt_example_dqm_map
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:link-type: ref
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Solves a discrete quadratic model (:term:`DQM`) using the Leap service's
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hybrid DQM solver.
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Solves a discrete quadratic model (DQM) using the Leap service's hybrid
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DQM solver.
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.. grid-item-card:: :ref:`opt_example_kerberos_map`
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:link: opt_example_kerberos_map
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:link-type: ref
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Demonstrates using a :ref:`dwave-hybrid <index_hybrid>` out-of-the-box
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hybrid solver.
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Demonstrates using a *dwave-hybrid* out-of-the-box hybrid solver.
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.. grid-item-card:: :ref:`opt_example_dwavehybrid_workflow`
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:link: opt_example_dwavehybrid_workflow

Diff for: docs/industrial_optimization/index_examples_beginner.rst

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:link-type: ref
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Solves a constrained problem with binary variables using the
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|cloud| service's :term:`CQM` solver.
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|cloud| service's CQM solver.
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.. grid-item-card:: :ref:`opt_example_cqm_stockselling`
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:link: opt_example_cqm_stockselling
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:link: opt_example_cqm_diet
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:link-type: ref
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Solves a mixed-integer linear-programming
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(`MILP <https://en.wikipedia.org/wiki/Integer_programming>`_) problem
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Solves a mixed-integer linear-programming (MILP) problem
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using the Leap service's CQM solver.
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Additional Examples

Diff for: docs/industrial_optimization/index_get_started.rst

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:link: opt_model_construction_qm
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:link-type: ref
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Constructing :term:`quadratic models <quadratic model>`.
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Constructing quadratic models.
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.. grid-item-card:: :ref:`opt_model_construction_nl`
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:link: opt_model_construction_nl
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:link-type: ref
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Constructing :term:`nonlinear models <nonlinear model>`.
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Constructing nonlinear models.
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.. grid-item-card:: :ref:`opt_index_hybrid`
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:link: opt_index_hybrid

Diff for: docs/leap_sapi/index_release_notes.rst

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:link: leap_known_issues
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:link-type: ref
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Problems that are currently known to be open.
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Problems that are currently known to be open.

Diff for: docs/ocean/dwave_cli.rst

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might be installed as ``<virtual_environment>\\Scripts\\dwave.exe``. Running
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this file from your system's console opens an interactive command line interface
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(CLI) that can help you set up and configure your development environment,
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communicate with |cloud_tm|_ service's compute resources, interact with your
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communicate with |cloud|_ service's compute resources, interact with your
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|cloud| service's account, and other useful actions.
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Run :code:`dwave --help` for information on all the CLI options.\ [#]_ For

Diff for: docs/ocean/release_notes.rst

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so that this page can generate the release notes as html without
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multiple warnings of conflict
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For release notes for the |cloud_tm| quantum cloud service, see the
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:ref:`leap_release_notes` section.
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For release notes for the |cloud| quantum cloud service, see the
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:ref:`index_leap_sapi` section.
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* `dimod <https://github.com/dwavesystems/dimod/releases>`_

Diff for: docs/quantum_research/classical_intro.rst

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Classical Solvers in the Ocean SDK
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==================================
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* Solvers in the :ref:`dimod <index_dimod>` package: :ref:`dimod_samplers`
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* Solvers in the :ref:`dwave-samplers <index_samplers>` package: :ref:`samplers_api_ref`
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* Solvers in the :ref:`dimod <index_dimod>` package:
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:ref:`test samplers <dimod_samplers>`.
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* Solvers in the :ref:`dwave-samplers <index_samplers>` package:
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:ref:`production samplers <samplers_api_ref>`.

Diff for: docs/quantum_research/gate_model_intro.rst

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to the use of `Boolean gates <https://en.wikipedia.org/wiki/Logic_gate>`_ in
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classical computers.
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`Ocean software <index_ocean_sdk>` provides the `dwave-gate <index_gate>`
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package for constructing, modifying and running quantum circuits on a simulator.
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:ref:`Ocean software <index_ocean_sdk>` provides the
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:ref:`dwave-gate <index_gate>` package for constructing, modifying and running
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quantum circuits on a simulator.
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Further Information
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===================

Diff for: docs/quantum_research/index_examples_beginner.rst

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:link: qpu_example_sat_unconstrained
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Describes the mathematical formulation of an :term:`objective function`
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for a simple, *unconstrained* problem.
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Describes the mathematical formulation of an objective function for a
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simple, *unconstrained* problem.
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.. grid-item-card:: :ref:`qpu_example_sat_constrained`
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:link: qpu_example_sat_constrained
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Describes the end-to-end process of solving a simple,
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:term:`constrained <constraint>` problem on a quantum computer.
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Describes the end-to-end process of solving a simple, constrained
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problem on a quantum computer.
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.. grid-item-card:: :ref:`qpu_example_min_vertex`
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Submits to a quantum computer a common graph problem formulated with
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:ref:`Ocean <index_ocean_sdk>` software.
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Ocean software.
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.. grid-item-card:: :ref:`qpu_example_not`
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Mathematically formulates a simple :term:`QUBO`.
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Mathematically formulates a simple QUBO.
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.. grid-item-card:: :ref:`qpu_example_and`
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Explains and demonstrates :term:`minor-embedding` on the QPU using
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:term:`chains <chain>`.
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Explains and demonstrates minor embedding on the QPU using chains.
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.. grid-item-card:: :ref:`qpu_example_multigate`
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Looks at various :term:`minor-embedding` techniques and results.
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Looks at various minor-embedding techniques and results.
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.. grid-item-card:: :ref:`qpu_example_scheduling`
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Solves a small constraint satisfaction problem formulated with
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:term:`penalties <penalty>`.
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penalties.
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.. grid-item-card:: :ref:`qpu_example_mapcoloring`
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penalties.
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Additional Examples
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===================

Diff for: docs/quantum_research/index_formulation.rst

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:link: qpu_stating_problems
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Properly stated, a problem can be formulated as an :term:`objective`.
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Properly stated, a problem can be formulated as an objective.
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Diff for: docs/quantum_research/index_get_started.rst

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basic_config
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index_examples_beginner
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Learn to submit problems directly to quantum processing units (QPUs) in
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the |cloud_tm| quantum cloud service.
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Learn to submit problems directly to quantum processing units (:term:`QPU`) in
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the |cloud| quantum cloud service.
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Mapping arbitrary problems to QPU :term:`topology`.
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Mapping arbitrary problems to QPU topology.
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.. grid-item-card:: :ref:`qpu_basic_config`
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Diff for: docs/quantum_research/index_using.rst

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Considerations for :term:`minor embedding`.
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Considerations for minor embedding.
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.. grid-item-card:: :ref:`qpu_solver_parameters`
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Diff for: docs/shared/examples.rst

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.. start_qpu2
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The following code solves the known "minimum vertex cover"
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graph problem using an :term:`annealing` quantum computer.
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>>> import networkx as nx
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>>> import dwave_networkx as dnx

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