A Retargetable Compiler for NISQ Devices
Simulations of randomized compiling (RC) show that RC performs better as the error rate of coherent errors is reduced. This is demonstrated in the plot above for single- and multi-qubit random circuits of depth 200 gates (100 cycles of easy/hard gates), where we plot the log of the TVD as a function of the error
A valid question to ask is, how many randomly compiled circuits do we need to see a benefit from randomized compiling (RC)? We re-analyzed the random circuit sampling data presented on the RC project page to answer this question. For each circuit depth (K) in which we generated random circuits, we computed the convergence of
We performed state tomography on a single-qubit at three different points during a random sequence of gates (after 10 gates, after 100 gates, and after 200 gates). This clearly demonstrates the intuition behind randomized compiling (RC): coherent errors can build up as a function of circuit depth, resulting in errors in the bare quantum state
One significant source of error in CR gates, especially when minimizing gate time, is leakage of the quantum state out of the computational subspace, in particular to the second excited state of the control transmon. We have observed and characterized this leakage channel during the CR gate by monitoring directly the second excited states of
To measure the dynamics of the CR gate, we perform Hamiltonian tomography. This experiment involves driving the CR interaction and performing state tomography on the target qubit, thus allowing one to measure the Bloch dynamics of the target qubit, conditioned on the control qubit state. We run this experiment when with the control qubit in
Randomized Benchmarking (RB) is a standard experiment to quantify the error rate of a quantum gate set. In addition to being relevant for building fault-tolerant quantum computers, reducing two-qubit gate error rates enables the execution of NISQ algorithms with larger-depth. However, environmental drift is a ubiquitous phenomenon in quantum hardware, and it is important to