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Release 0.18.0-dev

New features since last release

Breaking changes

Improvements

Documentation

Bug fixes

Contributors

This release contains contributions from (in alphabetical order):

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