6 papers
Practical learning of multi-time statistics in open quantum systems
Gregory A. L. White, Lloyd C. L. Hollenberg, Charles D. Hill +1
Randomised measurements can efficiently characterise many-body quantum states by learning the expectation values of observables with low Pauli weights. In this paper, we generalise…
Bridging Entanglement and Magic Resources within Operator Space
Neil Dowling, Kavan Modi, Gregory A. L. White
Local-operator entanglement (LOE) dictates the complexity of simulating Heisenberg evolution using tensor network methods, {and bears witness to many-body chaos for local dynamics}…
Unifying non-Markovian characterisation with an efficient and self-consistent framework
Gregory A. L. White, Petar Jurcevic, Charles D. Hill +1
Noise on quantum devices is much more complex than it is commonly given credit. Far from usual models of decoherence, nearly all quantum devices are plagued both by a continuum of…
Tensor-network decoders for process tensor descriptions of non-Markovian noise
Fumiyoshi Kobayashi, Hidetaka Manabe, Gregory A. L. White +3
Quantum error correction (QEC) is essential for fault-tolerant quantum computation. Often in QEC errors are assumed to be independent and identically distributed and can be discret…
Topological Signal Processing on Quantum Computers for Higher-Order Network Analysis
Caesnan M. G. Leditto, Angus Southwell, Behnam Tonekaboni +3
Predicting and analyzing global behaviour of complex systems is challenging due to the intricate nature of their component interactions. Recent work has started modelling complex s…
Capturing long-range memory structures with tree-geometry process tensors
Neil Dowling, Kavan Modi, Roberto N. Muñoz +2
We introduce a class of quantum non-Markovian processes -- dubbed process trees -- that exhibit polynomially decaying temporal correlations and memory distributed across time scale…