Sync dev to master #1155
Merged
Sync dev to master #1155
This pull request is big! We’re only showing the most recent 250 commits.
Commits on May 19, 2023
Commits on May 29, 2023
Commits on May 30, 2023
Commits on Jun 6, 2023
Commits on Jun 7, 2023
Commits on Jun 8, 2023
Commits on Jun 16, 2023
Commits on Jun 20, 2023
-
-
Change private methods in adjoint diff tutorial (#832)
* adjoint diff tutorial improvement * Apply suggestions from code review Co-authored-by: Mudit Pandey <[email protected]> Co-authored-by: Matthew Silverman <[email protected]> * update date --------- Co-authored-by: Mudit Pandey <[email protected]> Co-authored-by: Matthew Silverman <[email protected]>
3 people authoredJun 20, 2023
Commits on Jun 21, 2023
Commits on Jun 23, 2023
-
-
* Updated ensemble demo * Trigger ci * Update circuit cutting demo * Updated stop_recording * Update tutorial to not rely on tape context * Update demonstrations/tutorial_quantum_circuit_cutting.py Co-authored-by: Matthew Silverman <[email protected]> --------- Co-authored-by: Matthew Silverman <[email protected]>
-
Modify image in fermionic demo (#838)
* use new image * Added hero_illustrationd folder to _static, added fermionic_ops_hero.png, modified tutorial_fermionic_operators.py and metadata to add hero image and delete previous image. --------- Co-authored-by: CatalinaAlbornoz <[email protected]>
Commits on Jun 26, 2023
Commits on Jun 27, 2023
-
-
* Test interactive demo * Test interactive demo * fix * Test interactive demo * fix * fix * fix * fix * absolute directories
-
use unpinned version of PL and plugins (#841)
Co-authored-by: Christina Lee <[email protected]>
-
Commits on Jun 28, 2023
Commits on Jul 1, 2023
Commits on Jul 5, 2023
Commits on Jul 6, 2023
Commits on Jul 7, 2023
Commits on Jul 11, 2023
-
Replace deprecated X and P (#854)
* Replace deprecated X and P with QuadX and QuadP * re-run tests * re-run tests
Commits on Jul 12, 2023
Commits on Jul 13, 2023
Commits on Jul 17, 2023
Commits on Jul 19, 2023
Commits on Jul 20, 2023
-
Fix bug in build-branch that prevents PL and plugins from being upgra…
…ded on dev builds (#868)
Commits on Jul 21, 2023
Commits on Jul 24, 2023
Commits on Jul 25, 2023
-
-
-
Remove interactive demo test (#853)
Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
Commits on Jul 26, 2023
Commits on Jul 29, 2023
Commits on Aug 1, 2023
-
* removing files * more files * Update README.md * default to demostrations
Commits on Aug 8, 2023
Commits on Aug 9, 2023
Commits on Aug 10, 2023
Commits on Aug 11, 2023
-
Minor bump to sphinx, remote generation of sitemap (#884)
* Update lock file and README * Remove usage of sphinx-sitemap. Bump sphinx version to 3.5.4. Unpinned manual pinning of docutils. Remove CI step to clean sitemap * Bumped version of sphinx-gallery
Commits on Aug 16, 2023
Commits on Aug 17, 2023
-
Demo on QSVT for matrix inversion (#836)
--------- Co-authored-by: soranjh <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: ixfoduap <[email protected]>
4 people authoredAug 17, 2023
Commits on Aug 21, 2023
Commits on Aug 25, 2023
-
-
avoid index out of range error (#904)
Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
Commits on Aug 28, 2023
-
-
change .xyz usage to datasets (#909)
* change .xyz usage to datasets * measurement optimize tutorial * change H2 bondlength, add datasets link * vqeparallel * Apply suggestions from code review * vqe * Update demonstrations/tutorial_measurement_optimize.py * Update demonstrations/tutorial_measurement_optimize.py * typoe * Apply suggestions from code review Co-authored-by: Utkarsh <[email protected]> * Apply suggestions from code review Co-authored-by: Utkarsh <[email protected]> * Update vqe_parallel.py * remove extra .hdf5 file * change last updated date * update note in building molecular hamiltonians * Update demonstrations/tutorial_vqe_qng.py --------- Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Utkarsh <[email protected]>
3 people authoredAug 28, 2023 -
-
* Updated pyproject.toml * Update poetry lock
Commits on Aug 31, 2023
-
Upgrade TensorFlow version (#914)
As title says. Also fixed `tutorial_pasqal.py` and `tutorial_QGAN.py` to be compatible with the new TF version --------- Co-authored-by: Matthew Silverman <[email protected]>
-
Commits on Sep 5, 2023
Commits on Sep 6, 2023
Commits on Sep 12, 2023
Commits on Sep 13, 2023
Commits on Sep 15, 2023
-
-
Fix circuit compilation tutorial to use new transforms syntax (#929)
**Summary:** As title says. `tutorial_circuit_compilation.py` was failing because of deprecated transforms syntax for the transforms used in the demo. I replaced the deprecated syntax with the new API, and it works locally. ([See failure here](https://github.com/PennyLaneAI/qml/actions/runs/6179181147/job/16773713171#step:18:1518)) **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:**
Commits on Sep 20, 2023
Commits on Sep 21, 2023
-
Update tutorial_adaptive_circuits.py (#935)
Fix dimensional issue in `adaptive_cirucits` Fix issue with complex coeffs in `tapering_demo` (provisional fix)
Commits on Sep 22, 2023
Commits on Sep 28, 2023
Commits on Oct 1, 2023
Commits on Oct 11, 2023
Commits on Oct 17, 2023
-
### Before submitting Please complete the following checklist when submitting a PR: - [ ] Ensure that your tutorial executes correctly, and conforms to the guidelines specified in the [README](../README.md). - [ ] Remember to do a grammar check of the content you include. - [ ] All tutorials conform to [PEP8 standards](https://www.python.org/dev/peps/pep-0008/). To auto format files, simply `pip install black`, and then run `black -l 100 path/to/file.py`. When all the above are checked, delete everything above the dashed line and fill in the pull request template. ------------------------------------------------------------------------------------------------------------ **Title:** **Summary:** **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]> -
Commits on Oct 18, 2023
Commits on Oct 20, 2023
-
Initial state preparation demo (#950)
**Title:** Initial state preparation for quantum chemistry **Summary:** This demo is explaining the concept of an initial state -- a primer for a quantum algorithm that improves its chances of success specifically for the task of obtaining the ground-state energy of a molecule. It showcases the newly built functionality in PennyLane for importing outputs from sophisticated computational chemistry methods to initialize better initial states. Finally, it shows how the choice of initial state affects the execution of VQE on a simple molecule, demonstrating the importance of initial state for quantum algorithms and that this can of algorithms R&D can be now performed in PennyLane. **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** --------- Co-authored-by: soranjh <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: Alvaro Ballon <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
5 people authoredOct 20, 2023
Commits on Oct 26, 2023
-
LCU + Block encoding demo (#888)
Last demo in the Rolls Royce QSVT series --------- Co-authored-by: Diego <[email protected]> Co-authored-by: Diego <[email protected]> Co-authored-by: Jay Soni <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
6 people authoredOct 26, 2023 -
Minor fixes for version v0.33 (#963)
In version v0.33, we ported transforms over to a new syntax. This requires a few syntax changes in the demo. We also switched from the old default qubit to the new one. The old device used the global random number generator each time it sampled. The new device will query the global random number generator once upon initialization if a seed is not specified. This caused the global random number generator to be in a different state when creating parameters. In order to avoid coupling between random number generation in different parts of the workflow in the future, I switched to using local random number generation for parameters and setting a seed explicitly on the device. Future changes to random generation shouldn't have as much impact on the output of the demos. A couple of deprecation warnings from matplotlib and torch also forced a couple of updates.
Commits on Oct 27, 2023
-
Replace `op.adjoint()` with `qml.adjoint(op)`. Got error about braket job name being taken, so changed name of job.
-
This update to the `vqe_parallel` demo: * Changes the plot so that atomic separation is actually atomic separation * removes use of non-existant `data` variable` * Updates how to combine coefficients are results --------- Co-authored-by: Lee J. O'Riordan <[email protected]> Co-authored-by: Mudit Pandey <[email protected]> Co-authored-by: Tom Bromley <[email protected]>
4 people authoredOct 27, 2023
Commits on Nov 14, 2023
Commits on Nov 15, 2023
Commits on Nov 27, 2023
Commits on Nov 30, 2023
Commits on Dec 1, 2023
Commits on Dec 6, 2023
Commits on Dec 7, 2023
Commits on Dec 12, 2023
-
A demo for ODEgen, our in-house method for evaluating analytic gradients of pulse programs on quantum computers https://arxiv.org/abs/2309.16756 Contents: - [x] Abstract - [x] Intro - [x] ODEgen vs SPS - [x] VQE Heisenberg - [x] conclusion - [x] thumbnail - [x] metadata - [x] update references/links in OQC Lucy demo to this one --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: DanielNino27 <[email protected]>
3 people authoredDec 12, 2023 -
-
Commits on Jan 2, 2024
Commits on Jan 4, 2024
Commits on Jan 5, 2024
-
update auto-run demos before 0.34 release (#1005)
- learning2learn was failing because we call a QNode with a vanilla list of parameters at some point, and it wrongly auto-assumed that the interface was `autograd`. Not sure why this only came up now, but forcing it to `tf` fixes it - the Barrier in the teleportation demo was just to make it look like the two measurements happen simultaneously, but that doesn't happen anymore regardless... so I removed it - the second full circuit MPL drawing (with the QNode) is supposed to show that defer_measurements is applied, so I had to add `expansion_strategy="device"` to the QNode to make sure it is applied (it used to be applied at qnode-level, but now it's part of device pre-processing) - question: should I put the kwarg in the qnode construction, or in the invocation of `draw_mpl`? I think they both accept it - unitary_designs was using the old `qfunc_transform` and a warning was being raised. Updated to the new `transform` API to avoid the warning
-
stack results in ensemble multi qpu demo (#1008)
I needed to stack the results in order to convert them to a tensor.
Commits on Jan 10, 2024
-
Update hybrid jobs demos (#1009)
The hybrid jobs were failing. Some of them were because of incorrect variable names. Others because functions defined outside the hybrid job context were being used inside it. This PR fixes both of those. From discussions outside GitHub: > * The `getting_started_with_hybrid_jobs` demo uses some pickling and is only expected to work with 0.33.1. Once changes in this PR are incorporated, it does work with 0.33.1. An empty dictionary for results is returned with the most recent PL, and it's not a bug, its built in on the Braket end. > * Once the fixes for `braket_parallel_gradients` are added, everything runs, the results are just incorrect. It's a static demo, so it will continue to look like the results are correct unless someone actually tries it. We'll let AWS know. There is also a deprecation warning about `Observable.return_types` in the `braket_parallel_gradients` demo, but it's originating from the braket plugin. Their release is incosistent with ours, so it will be fixed, but probably not in time for 0.34 --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
-
Commits on Jan 16, 2024
Commits on Jan 18, 2024
Commits on Jan 19, 2024
Commits on Jan 22, 2024
Commits on Jan 29, 2024
Commits on Feb 1, 2024
Commits on Feb 21, 2024
Commits on Feb 22, 2024
-
Introducing (Dynamical) Lie Algebras for quantum practitioners (#1020)
Introduction to some key concepts of Lie algebra theory in quantum computation Currently doing everything with PauliWord and PauliSentence. Main blocker to change this to pennylane ops is string representations of Pauli ops TODO - [x] metadata - [x] thumbnail --------- Co-authored-by: Mudit Pandey <[email protected]>
Commits on Feb 26, 2024
-
raise PL deprecations as errors (#1038)
**Context:** we'd like to catch PL deprecation warnings as early as possible, so we can fix them well before feature freeze. We already do this with PL and plugin tests, so it's become rather standard **Changes:** - Raise `qml.PennyLaneDeprecationWarning`'s as errors when building demos - update uses of `qml.matrix()` that hit the deprecated behaviour, either by adding a wire order or providing an object that has wires - Unrelated but blocking: add `disable_new_opmath` to the end of the `tutorial_liealgebra.py`, as it enabled it at the start and this caused other demos to fail Side note: I know we're moving away from the term "ancilla". I decided to not change it in the encounters I had in this PR because there are 162 instances of the string in the repo, but we might want to swap it out in another PR. [sc-57573]
-
Commits on Feb 28, 2024
Commits on Mar 1, 2024
-
-
A few updates to the Rigetti demos: - Pytorch Noise - Update Aspen-M-2 to Aspen-M-3 for the hardware version (M-2 is decommissioned) - Add the info about connecting to Rigetti with Docker (included in the other Rigetti demos) - Ensemble Multi QPU - Move the information about connecting to the Rigetti device to _before_ the section where we try to connect to the Rigetti device - Change how we cast to torch during prediction phase --------- Co-authored-by: Mudit Pandey <[email protected]>
Commits on Mar 4, 2024
-
Bump requirements to 0.35 (#1043)
Bump PennyLane and PennyLane-Qiskit plugins to 0.35 after the new release
Commits on Mar 6, 2024
Commits on Mar 11, 2024
Commits on Mar 13, 2024
-
-
Update metadata reminder message (#1056)
Failing to update the metadata won't affect whether or not the demo shows up on pennylane.ai, but does affect whether or not the changes are reflected in Glass Onion (search and recommendations). Updated the metadata reminder message to reflect this.
-
-
Commits on Mar 15, 2024
Commits on Mar 22, 2024
-
Demo on Efficient Simulation of Clifford Circuits (#1032)
**Title:** Efficient Simulation of Clifford Circuits **Summary:** Adds a tutorial for utilizing the new Clifford simulation device. **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** --------- Co-authored-by: soranjh <[email protected]>
Commits on Mar 25, 2024
Commits on Apr 1, 2024
Commits on Apr 9, 2024
Commits on Apr 11, 2024
Commits on Apr 12, 2024
Commits on Apr 17, 2024
Commits on Apr 25, 2024
-
Update demos to use new opmath (#1067)
Remove explicit `qml.operation.Tensor` instances, as well as `qml.ops.Hamiltonian` usage branching against `dev` as new opmath will be default only in `v0.36` (scheduled for 07. May) - [x] IMPORTANT change back final cell in `tutorial_qubit_tapering` when PennyLaneAI/pennylane#5532 is fixed
-
-
Commits on Apr 26, 2024
-
Update DLA intro demo with new qml.pauli.dla functionality (#1079)
Updating the existing demo with new DLA functionality in PennyLane. No change to the story of the demo, just making some things more convenient and pointing out functionality to do some things that we do here manually, more easily using that new functionality --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: David Wierichs <[email protected]>
3 people authoredApr 26, 2024 -
-
Update block encoding demo (#1080)
Update the demo on block encoding with matrix access oracles to: 1. Add the newly implemented `qml.FABLE` to the demo. 2. Correct an equation to allow block encoding `2 x 2` matrices.
Commits on May 1, 2024
Commits on May 2, 2024
-
Update environment to install latest lightning and catalyst when `UPG…
…RADE_PL=true` (#1086) 1. Update `Makefile` to install latest versions of lightning and catalyst if `UPGRADE_PL=true` 2. Update various demos to work with latest version of lightning
-
**Title: How to Track Algorithmic Errors in PennyLane** **Summary:** A "How to" guide teaching users about the newest error tracking functionality in PennyLane. ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? - Error tracking is important for resource estimation, we want to create content targeting this. - Show off new error tracking functionality from PennyLane. * AUDIENCE — Who is this for? - Pennylane Users - Algorithmic Researchers - Applications Scientists - Students * KEYWORDS — What words should be included in the marketing post? - Error Tracking - Error Propagation - Algorithmic Error - Quantum - Software * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [ ] Tutorial - [ ] Demo - [x] How-to --------- Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: Diego <[email protected]>
5 people authoredMay 2, 2024
Commits on May 3, 2024
-
-
### Before submitting Please complete the following checklist when submitting a PR: - [ ] Ensure that your tutorial executes correctly, and conforms to the guidelines specified in the [README](../README.md). - [ ] Remember to do a grammar check of the content you include. - [ ] All tutorials conform to [PEP8 standards](https://www.python.org/dev/peps/pep-0008/). To auto format files, simply `pip install black`, and then run `black -l 100 path/to/file.py`. When all the above are checked, delete everything above the dashed line and fill in the pull request template. ------------------------------------------------------------------------------------------------------------ **Title:** **Summary:** **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? *Eg. Promote a new PL feature or show a PL implementation of a recent paper.* * AUDIENCE — Who is this for? *Eg. Chemistry researchers, PL educators, beginners in quantum computing.* * KEYWORDS — What words should be included in the marketing post? * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [ ] Tutorial - [ ] Demo - [ ] How-to --------- Co-authored-by: ixfoduap <[email protected]> Co-authored-by: soranjh <[email protected]>3 people authoredMay 3, 2024 -
[MCM 2/3] How-to: Dynamic circuits with mid-circuit measurements (#1073)
**Title:** How to create dynamic circuits with mid-circuit measurements **Summary:** This how-to is a walkthrough of creating a `QNode` that contains mid-circuit measurements, logical processing of the measured values, and conditioning functions on these processed measurements. As a warmup task, we implement a T-gadget, which showcases a single MCM without processing that conditions a single follow-up gate. This serves the purpose to have a minimal example of a dynamic circuit, in addition to the more contrived `QNode` example. **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? This how-to promotes mid-circuit measurement functionality in PennyLane, which has been extended in recent releases. In addition, this how-to is part of the broader goal of emphasizing MCMs and dynamic circuits in our contents. * AUDIENCE — Who is this for? Typical how-to audience: Fundamental concepts of measurements and quantum computing are known, but the audience may not yet be familiar with PennyLane's syntax for MCMs and conditioning circuit parts on their outcomes, or they may want to consult this how-to as a reference of how to realize their dynamic circuit with MCMs. Anyone really with the goal of coding up a circuit that uses MCM values and feedforward can be in the audience. * KEYWORDS — What words should be included in the marketing post? - Dynamic circuit - Mid-circuit measurements - Feedforward control - [optional] Measurement value processing * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [ ] Tutorial - [ ] Demo - [x] How-to --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: Thomas R. Bromley <[email protected]>
3 people authoredMay 3, 2024 -
Update tutorial_error_prop.py (#1090)
Render issue --------- Co-authored-by: Jay Soni <[email protected]> Co-authored-by: soranjh <[email protected]>
3 people authoredMay 3, 2024
Commits on May 7, 2024
-
Add fermionic to qubit mapping demo (#1077)
**Title:** Mapping fermionic Hamiltonian to qubit Hamiltonian **Summary:** **Relevant references:** Tranter, Andrew, et. al. "A comparison of the Bravyi-Kitaev and the Jordan-Wigner transformations for the quantum simulation of quantum _chemistry." _Journal of chemical theory and computation_ 14.11 (2018): 5617-5630. **Possible Drawbacks:** **Related GitHub Issues:** ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? Promote a new PL feature. * AUDIENCE — Who is this for? Chemistry researcher * KEYWORDS — What words should be included in the marketing post? Fermionic Mapping * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [ ] Tutorial - [x] Demo - [ ] How-to --------- Co-authored-by: soranjh <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: Utkarsh <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]>
5 people authoredMay 7, 2024 -
-
Commits on May 10, 2024
-
Introductory tutorial on mid-circuit measurements (#1094)
**Title:** Introduction to mid-circuit measurements **Summary:** In this tutorial, we will dive into the basics of mid-circuit measurements with PennyLane. Readers will learn about - basic measurement processes in quantum mechanics, - the impact of a measurement on one- and two-qubit systems, - postselection and qubit reset, and - dynamic quantum circuits powered by conditional operations. **Relevant references:** See demo references and related content, in particular `tutorial_how_to_collect_mcm_stats` and `tutorial_how_to_create_dynamic_mcm_circuits`. **Possible Drawbacks:** **Related GitHub Issues:** ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? This tutorial promotes mid-circuit measurement functionality in PennyLane, which has been extended in recent releases. In addition, this tutorial is part of the broader goal of emphasizing MCMs and dynamic circuits in our contents. * AUDIENCE — Who is this for? Beginners in PennyLane coding that want to learn about mid-circuit measurements * KEYWORDS — What words should be included in the marketing post? - Mid-circuit measurements - Measurements in quantum mechanics - Dynamic circuits * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [x] Tutorial - [ ] Demo - [ ] How-to --------- Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: Thomas R. Bromley <[email protected]> Co-authored-by: Korbinian Kottmann <[email protected]> Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Ivana Kurečić <[email protected]>
6 people authoredMay 10, 2024
Commits on May 16, 2024
-
Fix conflicts for merging master -> dev (#1108)
The [nightly merge of master back into dev](https://github.com/PennyLaneAI/qml/actions/workflows/update-dev.yml) has been failing for a week or so due to conflicts. This PR addresses those. --------- Co-authored-by: Astral Cai <[email protected]> Co-authored-by: GitHub Nightly Merge Action <[email protected]> Co-authored-by: Mudit Pandey <[email protected]> Co-authored-by: Christina Lee <[email protected]> Co-authored-by: Romain Moyard <[email protected]> Co-authored-by: Matthew Silverman <[email protected]> Co-authored-by: lillian542 <[email protected]> Co-authored-by: Tom Bromley <[email protected]> Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Rashid N H M <[email protected]> Co-authored-by: Guillermo Alonso-Linaje <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: CatalinaAlbornoz <[email protected]> Co-authored-by: Jay Soni <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: ixfoduap <[email protected]> Co-authored-by: Diego <[email protected]> Co-authored-by: Utkarsh <[email protected]> Co-authored-by: Stepan Fomichev <[email protected]> Co-authored-by: soranjh <[email protected]> Co-authored-by: Alvaro Ballon <[email protected]> Co-authored-by: Diego <[email protected]> Co-authored-by: Lee J. O'Riordan <[email protected]> Co-authored-by: Korbinian Kottmann <[email protected]> Co-authored-by: DanielNino27 <[email protected]> Co-authored-by: ashishks0522 <[email protected]> Co-authored-by: Mikhail Andrenkov <[email protected]> Co-authored-by: David Wierichs <[email protected]> Co-authored-by: Diksha Dhawan <[email protected]> Co-authored-by: Ivana Kurečić <[email protected]>
31 people authoredMay 16, 2024
Commits on Jun 3, 2024
-
Update qchem functions to use Molecule (#1121)
The `molecular_hamiltonian` function is updated to accept a molecule object to match recent upgrades in qchem. All molecular coordinates are updated to have a `(N * 3)` where `N` is the number of atoms.
Commits on Jun 20, 2024
Commits on Jun 21, 2024
-
Update qchem external demo (#1132)
The qchem demo on "Using PennyLane with PySCF and OpenFermion" is updated to use `from_openfermion` and `to_openfermion` functions.
Commits on Jun 27, 2024
-
Update demonstrations/tutorial_qrack.py
Co-authored-by: Josh Izaac <[email protected]>
-
Update demonstrations/tutorial_qrack.py
Co-authored-by: Josh Izaac <[email protected]>
-
Update demonstrations/tutorial_qrack.py
Co-authored-by: Josh Izaac <[email protected]>
-
Update demonstrations/tutorial_qrack.py
Co-authored-by: Josh Izaac <[email protected]>
-
-
-
-
Commits on Jun 28, 2024
-
Temporarily updates dependency to use latest Catalyst and PL rc (#1134)
Similar to #1086 for the 0.36 release, to prepare for the 0.37 release, temporarily update the dev branch to use latest Catalyst. The latest Catalyst is installed from test pypi. Also use PL rc
Commits on Jul 2, 2024
-
-
-
-
-
Revert "Update pennylane-qrack dependency"
This reverts commit de06bd9.
-
Commits on Jul 4, 2024
-
Quantum volume updates (#1146)
The lima device used in the quantum volume demo no longer exists. This update switches to make it use the fake lima device instead. Since when running the demo, I got data that no longer agreed with the conclusions of the data present in the demo, I added a warning that device details may have changed over time. Since we now use a fake device instead of a real device, this demo could theoretically be automatically run. But the difference in the data output means that the automatically run results would not tell the same story. --------- Co-authored-by: Olivia Di Matteo <[email protected]>
-
Update script and benchmarking plot for adjoint diff demo (#1144)
Adding more wires and layers such that the performance scaling is more significant.
Commits on Jul 5, 2024
-
Quality check for PL 0.37 (#1145)
Updating some demos for PL 0.37 (quality check) --------- Co-authored-by: Ivana Kurečić <[email protected]>
-
Update braket static demos; Update torch dependency (#1148)
**Summary:** * Update `ahs_aquila` and `braket_parallel_gradients` demos to be up to date with PennyLane 0.37. * Update `pyproject.toml` to install torch 2.1.2. The old version (1.13) was quite old. I tried changing the version to 2.3.1 which requires `typing-extensions>=4.8`, but that caused a dependency conflict with tensorflow which required `typing-extensions<4.6` **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** Co-authored-by: Astral Cai <[email protected]>
-
-
Add a warning about versioning (#1151)
The `ensemble_multi_qpu` demo is not compatible with the most recent versions of Qiskit (and the PennyLane Qiskit plugin). We add a warning with compatible versions.
Commits on Jul 9, 2024
-
-
How to use the new
default.tensorquantum device (#1133)### Before submitting Please complete the following checklist when submitting a PR: - [x] Ensure that your tutorial executes correctly, and conforms to the guidelines specified in the [README](../README.md). - [x] Remember to do a grammar check of the content you include. - [x] All tutorials conform to [PEP8 standards](https://www.python.org/dev/peps/pep-0008/). To auto format files, simply `pip install black`, and then run `black -l 100 path/to/file.py`. When all the above are checked, delete everything above the dashed line and fill in the pull request template. ------------------------------------------------------------------------------------------------------------ **Title:** How to simulate quantum circuits with tensor networks using DefaultTensor **Summary:** This how-to guide shows the first steps to use the new ``default.tensor`` device that will be available to users in PennyLane 0.37 **Relevant references:** To be discussed with reviewer(s) **Possible Drawbacks:** None that I can think of, except for package dependencies **Related GitHub Issues:** None **Related Shortcut Stories:** [sc-65345] ---- If you are writing a demonstration, please answer these questions to facilitate the marketing process. * GOALS — Why are we working on this now? *Eg. Promote a new PL feature or show a PL implementation of a recent paper.* * AUDIENCE — Who is this for? *Eg. Chemistry researchers, PL educators, beginners in quantum computing.* * KEYWORDS — What words should be included in the marketing post? * Which of the following types of documentation is most similar to your file? (more details [here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8)) - [ ] Tutorial - [ ] Demo - [x] How-to --------- Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Ivana Kurečić <[email protected]>3 people authoredJul 9, 2024 -
-
Update demonstrations/tutorial_How_to_simulate_quantum_circuits_with_…
…tensor_networks.metadata.json Co-authored-by: Michael Vu <[email protected]>
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.