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Learn operator backpropagation (OBP), a powerful technique for reducing quantum circuit depth in expectation value calculations across chemistry, materials science, and optimization applications. Discover the fundamental concepts behind OBP and understand why minimizing circuit depth is crucial for current error-prone quantum hardware. Explore how researchers have successfully demonstrated OBP on circuits containing up to 127 qubits and nearly 500 two-qubit gates. Follow along as Bryce Fuller demonstrates practical implementation of OBP in Qiskit, showing how to dramatically reduce circuit complexity for Hamiltonian simulation problems while maintaining computational accuracy.
