Better representation of state vectors#512
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This is a very useful feature! Until now, when I wanted to display LaTeX in a Jupyter Notebook, I had to convert it into Qiskit and implement it like below, so I'm glad to see it supported natively. from quri_parts.qiskit.circuit import convert_circuit as convert_circuit_qiskit
qc_qiskit = convert_circuit_qiskit(qc) # qc is a QuantumCircuit Object
return Statevector(qc_qiskit).draw('latex') |
ThomasenQunasys
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Apr 8, 2026
ThomasenQunasys
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Oh, I'm sorry, I forgot to approve this. I've already gone over the changes earlier LGTM.
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Visualization
Adds a
draw()method with three visualization modes toQuantumStateVectorbloch: Visualizes the state as a point on the Bloch sphere. For multi-qubit states, reduced single-qubit states are shown via partial trace.qsphere: Global view of a multi-qubit state in the computational basis. Dot size = probability, color = phase of each basis state.hinton: Hinton diagram of the density matrix. Square size encodes magnitude, color (white/black) encodes the sign of real/imaginary parts.Text/Latex Representation
Adds text/latex representation of
QuantumState, which uses mpmath to find expressions for floating point coefficients.Jupyter notebooks will automatically render the LaTeX object as formatted math when evaluating a cell.
