: Integration with Catalyst was improved to accelerate classical processing on GPUs, including just-in-time (JIT) compilation for faster workflows.
: New tools for debugging quantum algorithms were included to help developers catch errors more efficiently. Perspectives on PennyLane releases In for a Penny [v0.37]
“A new tensor network and matrix product state device. Wide circuits, meet default.tensor.” PennyLane.ai · 1 year ago : Integration with Catalyst was improved to accelerate
: Users can now add noise models directly to their quantum circuits, allowing for more realistic simulations of hardware-level errors. In for a Penny [v0.37]
: A new default.tensor device was added to simulate "wide" quantum circuits that have a large number of qubits. It supports both Tensor Network (TN) and Matrix Product State (MPS) simulations using the quimb backend.
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