text: 134,19,1265644032291717123,2797254210,Michael A. Perlin,"New paper from a summer project at Argonne National Lab (@argonne)! We present an improved method to ""cut"" quantum circuits into smaller sub-circuits. We also show that circuit cutting can do *better* than running the full circuit to estimate its output. <LINK>",https://arxiv.org/abs/2005.12702,"We introduce maximum likelihood fragment tomography (MLFT) as an improved circuit cutting technique for running clustered quantum circuits on quantum devices with a limited number of qubits. In addition to minimizing the classical computing overhead of circuit cutting methods, MLFT finds the most likely probability distribution for the output of a quantum circuit, given the measurement data obtained from the circuit's fragments. We demonstrate the benefits of MLFT for accurately estimating the output of a fragmented quantum circuit with numerical experiments on random unitary circuits. Finally, we show that circuit cutting can estimate the output of a clustered circuit with higher fidelity than full circuit execution, thereby motivating the use of circuit cutting as a standard tool for running clustered circuits on quantum hardware. ",Quantum Circuit Cutting with Maximum Likelihood Tomography,1,"['New paper from a summer project at Argonne National Lab (@argonne)!\n\nWe present an improved method to ""cut"" quantum circuits into smaller sub-circuits. We also show that circuit cutting can do *better* than running the full circuit to estimate its output.\n\n<LINK>']",20,05,261