  Recent works have demonstrated that large quantum circuits can be cut and
decomposed into smaller clusters of quantum circuits with fewer qubits that can
be executed independently on a small quantum computer. Classical
post-processing then combines the results from each cluster to reconstruct the
output of the original quantum circuit. However, the runtime for such hybrid
quantum-classical algorithms is exponential in the number of cuts on a circuit.
We propose Rotation-Inspired Circuit Cut Optimization (RICCO), an alternative
method which reduces the post-processing overhead of circuit cutting, at the
cost of having to solve an optimization problem. RICCO introduces unitary
rotations at cut locations to rotate the quantum state such that expectation
values with respect to one set of observables are maximized and others are set
to zero. We demonstrate practical application of RICCO to VQE by classically
simulating a small instance of VQE and comparing it to one of the existing
circuit-cutting methods.
