Reduce width and depth of quantum circuits by cutting gates and wires.
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
Reducing depth of circuits with operator backpropagation
Reducing the Trotter error of Hamiltonian dynamics with multi-product formulas
An eigensolver used to scale up SQD chemistry workflows past 30 orbitals
Utilities to support workflows leveraging Qiskit addons
Reduce circuit depth by compressing initial layers via approximate quantum compilation with tensor networks (AQC-Tensor)
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