Kianna Wan

Popular Summary Quantum technology continues to advance rapidly across the domains of computing, sensing, and networking. Only recently has it been shown that the combination of these technologies with advances in learning theory has the potential to unveil otherwise undetectable phenomena in quantum systems.

Abstract We analyze the problem of estimating a scalar parameter g that controls the Hamiltonian of a quantum system subject to Markovian noise. Specifically, we place bounds on the growth rate of the quantum Fisher information with respect to g, in terms of the Lindblad operators and the g derivative of the Hamiltonian H.

Abstract With gate error rates in multiple technologies now below the threshold required for fault-tolerant quantum computation, the major remaining obstacle to useful quantum computation is scaling, a challenge greatly amplified by the huge overhead imposed by quantum error correction itself.