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Release 0.40.0-dev

New features since last release

Improvements 🛠

Breaking changes 💔

Deprecations 👋

Documentation 📝

Bug fixes 🐛

Contributors ✍️

This release contains contributions from (in alphabetical order):

Release 0.39.0

Breaking changes 💔

  • Support for Python 3.9 has been removed, and support for Python 3.12 has been added. (#167)

  • Upgrade minimum supported version of PennyLane to 0.38.0. (#168)

Bug fixes 🐛

  • Fix deprecated import path for QubitDevice. (#162)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Astral Cai Mudit Pandey

Release 0.36.0

New features since last release

  • Added support for the Prod observable. (#155)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Astral Cai

Release 0.34.0

Improvements 🛠

  • Use tape.measurements instead of tape.observables to identify the type of measurement process (#146)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Matthew Silverman

Release 0.33.0

Improvements 🛠

  • Added support for NumPy versions >= 1.24 (#142)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Matthew Silverman

Release 0.32.0

Improvements 🛠

  • Added support for qml.StatePrep as a state preparation operation. (#137)

Breaking changes 💔

  • Support for Python 3.8 has been removed, and support for Python 3.11 has been added. (#136)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Mudit Pandey, Jay Soni

Release 0.31.0

Improvements

  • Remove the use of the deprecated function qml.map in the tests (#129)

  • Update logic in the tests to reflect the new PennyLane return type system (#129)

Contributors

This release contains contributions from (in alphabetical order):

Matthew Silverman

Release 0.29.0

Breaking changes

  • pennylane-rigetti no longer supports python3.7. A newer python version is required. (#121)

Improvements

  • Build dependency specification is now solely in requirements.txt, which is read by setup.py. (#120)

  • Removed the use of in-place inversion for PennyLane operations. (#122)

Bug fixes

  • A missing comma has been added to the version bounds on qcs-api-client. (#120)

Contributors

This release contains contributions from (in alphabetical order):

Albert Mitjans Coma Graham Enos Mudit Pandey

Release 0.27.0

New features since last release

Re-introduction of the Rigetti Quantum Proccessing Unit (QPU) device

This release uses the latest version of pyQuil to connect to Rigetti Quantum Cloud Services (QCS) and enables the use of the latest Rigetti QPUs as a PennyLane device. #107

Breaking changes

  • The package has been renamed to pennylane-rigetti. The top level import is now pennylane_rigetti. In addition, the prefix for device short names have been changed to rigetti. For example, rigetti.qpu. #110

  • A new version of the QCS CLI is required if you want to use your QCS account to run your workloads on a live Rigetti QPU. See Using the QCS CLI for details. #107

  • The forest_url parameter has been removed, as it is now managed by the QCS CLI. #107

  • The compiler_url and qvm_url device parameters have been removed. The default URLs can be overridden using the QCS_SETTINGS_APPLICATIONS_PYQUIL_QUILC_URL and QCS_SETTINGS_APPLICATIONS_PYQUIL_QVM_URL environment variables, respectively. #107

  • The timeout parameter for all devices has been renamed to compiler_timeout. #107

  • There is now a default execution timeout of 10 seconds. This can be configured for a device by using the new execution_timeout parameter. #107

  • The S, T, CSWAP, ISWAP, and CCNOT operations have been removed. Import them directly from pennylane instead. #107

Improvements

  • Improves the computation of the expectation value when using QPUDevice by skipping the Device.generate_samples method. #108

Bug fixes

  • The QPU device now correctly sets the number of shots when parametric compilation is disabled. #107

Contributors

This release contains contributions from (in alphabetical order):

Albert Mitjans Coma, Antal Szava, Marquess Valdez.

Release 0.24.0

Bug fixes

  • Defines the missing state method and returns_state entry of the capabilities dictionary for forest.wavefunction and forest.numpy_wavefunction. (#101)

Contributors

This release contains contributions from (in alphabetical order):

Antal Száva.

Release 0.20.0

Bug fixes

  • Fix a bug where array parameters where not accepted when building circuits on pyQuil side. (#90)

Improvements

  • Added support for Python 3.10. (#96)

Contributors

This release contains contributions from (in alphabetical order):

Romain Moyard.

Release 0.17.0

Breaking changes

  • Deprecated Python 3.6. (#85)

Improvements

  • Removed a validation check for QubitUnitary that is now in PennyLane core. (#74)

Bug fixes

  • Pins the PyQuil version to use as pyquil>=2.16,<2.28.3 due to API deprecations in PyQuil version 3.0. (#73)

Contributors

This release contains contributions from (in alphabetical order):

Theodor Isacsson, Romain Moyard, Antal Száva.

Release 0.16.0

Bug fixes

  • Fixed a bug caused by the expand_state method always assuming that

    inactive wires are the least significant bits. (#73)

Contributors

This release contains contributions from (in alphabetical order):

Antal Száva.

Release 0.15.0

Breaking changes

  • For compatibility with PennyLane v0.15, the analytic keyword argument has been removed from all devices. Analytic expectation values can still be computed by setting shots=None. (#71)

  • For compatibility with PennyLane v0.15, parametric compilation now depends on the requires_grad attribute of parameters instead of the deprecated Variable class. (#71)

  • The circuit hashes used for parametric compilation are computed in QVMDevice instead of in QubitDevice defined in Pennylane. (#71)

Contributors

This release contains contributions from (in alphabetical order):

Antal Száva.

Release 0.14.0

New features since last release

Improvements

Bug fixes

  • Updated the plugin to be compatible with the new core of PennyLane. (#67) (#68)

Documentation

  • Adapted the documentation to the PennyLane theme. (#64)

Contributors

This release contains contributions from (in alphabetical order):

Thomas Bromley, Theodor Isacsson, Josh Izaac, Maria Schuld, Antal Száva.

Release 0.12.0

  • Version bump

Release 0.11.0

New features

  • Forest devices now support custom wire labels. #55 #57 #58 #59

    One can now specify any string or number as a custom wire label, and use these labels to address subsystems on the device:

    dev = qml.device('forest.qvm' device='4q-qvm', wires=['q1', 'ancilla', 0, 1])

@qml.qnode(dev)
def circuit():
   qml.Hadamard(wires='q1')
   qml.CNOT(wires=[1, 'ancilla'])
   return qml.expval(qml.PauliZ(0))

Bug fixes

  • Fixes a bug where basis states were not correctly initialized #56

  • Tensor measurements have been fixed due to a change in PL v0.11 #52

  • The QCS no longer supports lattice-based devices such as Aspen-4-5Q-E. As a result, the forest.qvm and forest.qpu devices no longer accept lattice-based devices, and must be loaded with the full device name (e.g. Aspen-4). #51

Contributors

Theodor Isacsson, Josh Izaac, Maria Schuld, Antal Száva

Release 0.9.0

  • Adding support for multi-qubit observable estimation.

  • Added a new method analytic_probability() to the Wavefunction simulator devices, so that analytic and non-analytic probabilities are correctly returned.

  • Reduced the default number of shots for the QPUDevice to 1000 from 1024.

  • The test suite now programmatically queries pyquil.list_quantum_computers() for valid QPU lattices for integration tests, and additional gradient integration tests have been added.

  • The minimum required version of PennyLane has been increased to v0.9 due to plugin API changes in PennyLane.

Release 0.8.0

  • Added parametric compilation for forest.qvm and forest.qpu, leading to significant speed increases when performing optimization

  • The plugin has been ported to use the new QubitDevice API for plugins, resulting in a cleaner interface with built-in support for multi-qubit observables.

  • Bug fixes to allow the plugin to work with pyQuil >= 2.16

  • Operator estimation on forest.qpu now works with both 1 and 2 qubit gates

  • Adds a converter so that pyQuil and Quil programs can be loaded as differentiable PennyLane templates

Release 0.6.0

  • Added ability to return multi-qubit expectation values to all devices

  • Added variance support

  • Replaced dense matrix expansion with a tensordot implementation

  • Added support for samples

  • Readout Error Mitigation using Operator Estimation

  • Updates the plugin to work with PyQuil 2.13 and PennyLane 0.6

Release 0.3.0

New features

  • Updated to support PyQuil v2.9.0 and PennyLane v0.4.0. Note that PennyLane-Forest now requires PennyLane>=0.4

  • The observable qml.Hermitian(A, wires) can now be measured on an arbitrary number of wires. That is, you can now pass a matrix A of size [2**N, 2**N] which acts on N qubits (i.e., len(wires)==N).

  • Adds support for the qml.var() measurement return type provided by PennyLane v0.4.

Release 0.2.0

  • Using any of the available lattices at any given time, instead of a specifically named one

  • updated minimum pyquil version requirement to 2.7

  • added support for pyQVM

  • removed 2.4 changes

  • Updating compiler urls

  • Replacing old lattice with new

  • pyqvm working without the compiler

  • Updating compiler urls

  • Replacing old lattice with new

  • added build and documentation badges

  • Remove the LocalQVMCompiler from the tests