89 citations · 1k across the 54 of their papers we have counts for
54 papers
Gaussian Atemporality: When Gaussian Quantum Correlations Imply Common Cause
Minjeong Song, Jayne Thompson, Matthew S. Winnel +4
Conventionally, covariances do not distinguish between spatial and temporal correlations. The same covariance matrix could equally describe temporal correlations between observatio…
Energetic advantages for quantum agents in online execution of complex strategies
Jayne Thompson, Paul M. Riechers, Andrew J. P. Garner +2
Agents often execute complex strategies -- adapting their response to each input stimulus depending on past observations and actions. Here, we derive the minimal energetic cost for…
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld +2
Long-term time series forecasting (LTSF) involves predicting a large number of future values of a time series based on the past values. This is an essential task in a wide range of…
Variational learning of integrated quantum photonic circuits
Hui Zhang, Chengran Yang, Wai-Keong Mok +11
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate-scale quantum (NISQ) era. Variational learning is a promis…
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
David M. Bossens, Kishor Bharti, Jayne Thompson
Parametrised quantum circuits offer expressive and data-efficient representations for machine learning. Due to quantum states residing in a high-dimensional Hilbert space, parametr…
The relative entropy of coherence quantifies performance in Bayesian metrology
Ruvi Lecamwasam, Syed M Assad, Joseph J Hope +3
The ability of quantum states to be in superposition is one of the key features that sets them apart from the classical world. This `coherence' is rigorously quantified by resource…
Quantum-optimal information encoding using noisy passive linear optics
Andrew Tanggara, Ranjith Nair, Syed Assad +5
The amount of information that a noisy channel can transmit has been one of the primary subjects of interest in information theory. In this work we consider a practically-motivated…
Quantum adaptive agents with efficient long-term memories
Thomas J. Elliott, Mile Gu, Andrew J. P. Garner +1
Central to the success of adaptive systems is their ability to interpret signals from their environment and respond accordingly -- they act as agents interacting with their surroun…
Provable superior accuracy in machine learned quantum models
Chengran Yang, Andrew Garner, Feiyang Liu +5
In modelling complex processes, the potential past data that influence future expectations are immense. Models that track all this data are not only computationally wasteful but al…
Probe optimization for quantum metrology via closed-loop learning control
Xiaodong Yang, Jayne Thompson, Ze Wu +3
Experimentally achieving the precision that standard quantum metrology schemes promise is always challenging. Recently, additional controls were applied to design feasible quantum…
A high fidelity heralded squeezing gate
Jie Zhao, Kui Liu, Jeng Hao +4
A universal squeezing gate capable of squeezing arbitrary input states is essential for continuous-variable quantum computation~\cite{PRA79062318,PRL112120504}. However, in present…
Boosting on the shoulders of giants in quantum device calibration
Alex Wozniakowski, Jayne Thompson, Mile Gu +1
Traditional machine learning applications, such as optical character recognition, arose from the inability to explicitly program a computer to perform a routine task. In this conte…
Maximum entanglement of formation for a two-mode Gaussian state over passive operations
Spyros Tserkis, Jayne Thompson, Austin P. Lund +4
We quantify the maximum amount of entanglement of formation (EoF) that can be achieved by continuous-variable states under passive operations, which we refer to as EoF-potential. F…
Thermodynamic resources in continuous-variable quantum systems
Varun Narasimhachar, Syed Assad, Felix C. Binder +3
Thermodynamic resources, beyond their well-known usefulness in work extraction and other thermodynamic tasks, are often important also in tasks that are not evidently thermodynamic…
Extreme dimensionality reduction with quantum modelling
Thomas J. Elliott, Chengran Yang, Felix C. Binder +3
Effective and efficient forecasting relies on identification of the relevant information contained in past observations -- the predictive features -- and isolating it from the rest…
Modular Quantum Computation in a Trapped Ion System
Kuan Zhang, Jayne Thompson, Xiang Zhang +7
Modern computation relies crucially on modular architectures, breaking a complex algorithm into self-contained subroutines. A client can then call upon a remote server to implement…
Universal and Operational Benchmarking of Quantum Memories
Xiao Yuan, Yunchao Liu, Qi Zhao +3
Quantum memory -- the capacity to store and faithfully recover unknown quantum states -- is essential for quantum-enhanced technology. There is thus a pressing need for operational…
Interfering trajectories in experimental quantum-enhanced stochastic simulation
Farzad Ghafari, Nora Tischler, Carlo Di Franco +3
Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum adv…
Single-shot quantum memory advantage in the simulation of stochastic processes
Farzad Ghafari, Nora Tischler, Jayne Thompson +7
Stochastic processes underlie a vast range of natural and social phenomena. Some processes such as atomic decay feature intrinsic randomness, whereas other complex processes, e.g.…
Surveying structural complexity in quantum many-body systems
Whei Yeap Suen, Thomas J. Elliott, Jayne Thompson +4
Quantum many-body systems exhibit a rich and diverse range of exotic behaviours, owing to their underlying non-classical structure. These systems present a deep structure beyond th…
Quantifying memory capacity as a quantum thermodynamic resource
Varun Narasimhachar, Jayne Thompson, Jiajun Ma +2
The information-carrying capacity of a memory is known to be a thermodynamic resource facilitating the conversion of heat to work. Szilard's engine explicates this connection throu…
Operational resource theory of continuous-variable nonclassicality
Benjamin Yadin, Felix C. Binder, Jayne Thompson +3
Genuinely quantum states of a harmonic oscillator may be distinguished from their classical counterparts by the Glauber-Sudarshan P-representation -- a state lacking a positive P-f…
Causal Asymmetry in a Quantum World
Jayne Thompson, Andrew J. P. Garner, John R. Mahoney +3
Causal asymmetry is one of the great surprises in predictive modelling: the memory required to predict the future differs from the memory required to retrodict the past. There is a…
Geometry of quantum correlations in space-time
Zhikuan Zhao, Robert Pisarczyk, Jayne Thompson +3
The traditional formalism of non-relativistic quantum theory allows the state of a quantum system to extend across space, but only restricts it to a single instant in time, leading…