Publications (18)
Learning correlated noise in a 39-qubit quantum processor
Robin Harper, Steven T. Flammia
Building error-corrected quantum computers relies crucially on measuring and modeling noise on candidate devices. In particular, optimal error correction requires knowing the noise…
Explaining quantum correlations through evolution of causal models
Robin Harper, Robert J. Chapman, Christopher Ferrie +5
We propose a framework for the systematic and quantitative generalization of Bell's theorem using causal networks. We first consider the multi-objective optimization problem of mat…
Logical Noise Bias in Magic State Injection
Nicholas Fazio, Robin Harper, Stephen D. Bartlett
Fault-tolerant architectures aim to reduce the noise of a quantum computation. Despite such architectures being well studied a detailed understanding of how noise is transformed in…
Scalable Bayesian Hamiltonian learning
Tim J. Evans, Robin Harper, Steven T. Flammia
As the size of quantum devices continues to grow, the development of scalable methods to characterise and diagnose noise is becoming an increasingly important problem. Recent metho…
Scalable quantum error correction tailored for a heavy-hex qubit array
Seok-Hyung Lee, Xanda C. Kolesnikow, Jun Zen +7
To produce an operable quantum computer that is made with imperfect hardware, we must design and test scalable quantum error correcting codes that are suited for the devices we can…
Error correction on an array of superconducting qubits with defective components
Julien M. Drouet, Xanda C. Kolesnikow, Campbell K. McLauchlan +6
The paper experimentally compares methods for handling defective qubits and couplers in a superconducting qubit array, showing that excluding underperforming components significant…