Trading Space for Time: Dealing with Noise in Quantum Computers
Abstract: Quantum computers are beginning to demonstrate interesting (albeit small) proof-of-principle calculations in optimization, machine learning, and quantum chemistry. These calculations are limited by both the number and quality of the qubits. The information in the qubits decays with a characteristic coherence time, limiting the total number of gate operations (and, therefore, the complexity of algorithms) that can be run on the systems.
I will describe different methods for dealing with this noise, beginning from standard quantum error correction techniques. I will also describe recent work attempting to recover quantum information without an overhead in number of qubits, showing results in both simulation and on Agave, Rigetti's 8-qubit quantum computer.
Bio: Matthew Otten received his Ph.D. from Cornell University in 2017.