Author name: Q-Tensor Core Team

Burn Core: burn::tensor::Tensor::reshape The Tensor::reshape method returns a tensor with a new dimensional layout while preserving the same logical number […]

Burn Core: burn::tensor::Tensor::matmul The Tensor::matmul method performs matrix multiplication between two compatible tensors. The left-hand tensor supplies the row dimension,

Burn Core: burn::tensor::activation::prelu The burn::tensor::activation::prelu function applies Parametric ReLU to an input tensor. The primary parameters are tensor, containing the

API Reference: qiskit.circuit.QuantumCircuit.append The QuantumCircuit.append method attaches a custom instruction or gate to a circuit. The main parameters are instruction,

Mathematical Formulation of Variational Quantum Eigensolver (VQE) for Molecular Hamiltonian Mapping The Variational Quantum Eigensolver is a hybrid quantum-classical algorithm

API Reference: qiskit.circuit.QuantumCircuit.measure The QuantumCircuit.measure method maps quantum information from qubits into classical bits. The primary parameters are qubit and

Burn Core: burn::tensor::Tensor::unsqueeze The Tensor::unsqueeze method increases the rank of a tensor by adding leading dimensions. The type parameter defines

API Reference: qiskit.circuit.QuantumCircuit.rx The QuantumCircuit.rx method appends a parameterized rotation around the X axis of the Bloch sphere. The main

Customizing Autodiff Graphs: Forward and Reverse Mode Automatic Differentiation in Rust Automatic differentiation is a program transformation method for computing

API Reference: qiskit.circuit.QuantumCircuit.cx The QuantumCircuit.cx method appends a controlled-X operation, also known as a CNOT gate. The primary parameters are