L. C. Kwek
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View article: Quantifying the effects of noise in a quantum convolutional neural network
Quantifying the effects of noise in a quantum convolutional neural network Open
This study quantifies the effects of quantum noise on the performance of a quantum convolutional neural network (QCNN), building on parallels with classical convolutional neural networks (CNNs), where added Gaussian noise can improve train…
View article: Quantization of nonlinear non-Hamiltonian systems
Quantization of nonlinear non-Hamiltonian systems Open
Several important dynamical systems are in $\mathbb{R}^2$, defined by the pair of differential equations $(x',y')=(f(x,y),g(x,y))$. A question of fundamental importance is how such systems might behave quantum mechanically. In developing q…
View article: Hybrid Quasi-Bound State in the Continuum at Topological Quantum Optics Interface
Hybrid Quasi-Bound State in the Continuum at Topological Quantum Optics Interface Open
Topological manipulation of light provides a versatile toolbox for photonic technologies. Here, we show that a topological atom array can induce photon localization in a waveguide via symmetry-protected light-matter interaction. Long-lived…
View article: Realizing ultrahigh capacity quantum superdense coding on quantum photonic chip
Realizing ultrahigh capacity quantum superdense coding on quantum photonic chip Open
View article: GBS-Assisted Quantum Unsupervised Machine Learning on a Universal Programmable Integrated Quantum Chip
GBS-Assisted Quantum Unsupervised Machine Learning on a Universal Programmable Integrated Quantum Chip Open
Quantum machine learning stands poised as a forefront application for near-term quantum devices, addressing scalability challenges posed by classical computers in handling large datasets. Gaussian boson sampling (GBS), an intricate quantum…
View article: Geometry-Corrected Quadratic Optimization Algorithm for NDDO-Descendant Semiempirical Models
Geometry-Corrected Quadratic Optimization Algorithm for NDDO-Descendant Semiempirical Models Open
The long-held assumption that the optimization of parameters for NDDO-descendant semiempirical methods may be performed without precise geometry optimization is assessed in detail; the relevant equations for the analytical evaluation of th…
View article: Variational quantum classifiers via a programmable photonic microprocessor
Variational quantum classifiers via a programmable photonic microprocessor Open
Quantum computing holds promise across various fields, particularly with the advent of Noisy Intermediate-Scale Quantum (NISQ) devices, which can outperform classical supercomputers in specific tasks. However, challenges such as noise and …
View article: Loop Quantum Photonic Chip for Coherent Multi-Time-Step Evolution
Loop Quantum Photonic Chip for Coherent Multi-Time-Step Evolution Open
Quantum evolution is crucial for the understanding of complex quantum systems. However, current implementations of time evolution on quantum photonic platforms face challenges of limited light source efficiency due to propagation loss and …
View article: Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy
Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy Open
View article: Rigorous noise reduction with quantum autoencoders
Rigorous noise reduction with quantum autoencoders Open
Reducing noise in quantum systems is a significant challenge in advancing quantum technologies. We propose and demonstrate a noise reduction scheme utilizing a quantum autoencoder, which offers rigorous performance guarantees. The quantum …
View article: Stability of macroscopic spin ensembles against inhomogeneous dephasing
Stability of macroscopic spin ensembles against inhomogeneous dephasing Open
Spin ensembles play a pivotal role in various quantum applications such as metrology and simulating many-body physics. Recent research has proposed utilizing spin cat states to encode logical quantum information, with logical lifetimes pot…
View article: Physics‐Aware Analytic‐Gradient Training of Photonic Neural Networks
Physics‐Aware Analytic‐Gradient Training of Photonic Neural Networks Open
Photonic neural networks (PNNs) have emerged as promising alternatives to traditional electronic neural networks. However, the training of PNNs, especially the chip implementation of analytic gradient descent algorithms that are recognized…
View article: Quantum Computing and Machine Learning on an Integrated Photonics Platform
Quantum Computing and Machine Learning on an Integrated Photonics Platform Open
Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploit…
View article: A short tutorial on Wirtinger Calculus with applications in quantum information
A short tutorial on Wirtinger Calculus with applications in quantum information Open
The optimization of system parameters is a ubiquitous problem in science and engineering. The traditional approach involves setting to zero the partial derivatives of the objective function with respect to each parameter, in order to extra…
View article: Amplification, Mitigation and Energy Storage via Constrained Thermalization
Amplification, Mitigation and Energy Storage via Constrained Thermalization Open
Amplification (mitigation) is the increase (decrease) in the change of thermodynamic quantities when an initial thermal state is thermalized to a different temperature in the presence of constraints, studied thus far only for permutational…
View article: NISQ algorithm for the matrix elements of a generic observable
NISQ algorithm for the matrix elements of a generic observable Open
The calculation of off-diagonal matrix elements has various applications in fields such as nuclear physics and quantum chemistry. In this paper, we present a noisy intermediate scale quantum algorithm for estimating the diagonal and off-di…
View article: Self-testing of a single quantum system from theory to experiment
Self-testing of a single quantum system from theory to experiment Open
View article: Quantum pure noise-induced transitions: A truly nonclassical limit cycle sensitive to number parity
Quantum pure noise-induced transitions: A truly nonclassical limit cycle sensitive to number parity Open
It is universally accepted that noise may bring order to complex nonequilibrium systems. Most strikingly, entirely new states not seen in the noiseless system can be induced purely by including multiplicative noise-an effect known as pure …
View article: Encoding Error Correction in an Integrated Photonic Chip
Encoding Error Correction in an Integrated Photonic Chip Open
Integrated photonics provides a versatile platform for encoding and processing quantum information. However, the encoded quantum states are sensitive to noise, which limits their capability to perform complicated quantum computations. Here…
View article: Rigorous noise reduction with quantum autoencoders
Rigorous noise reduction with quantum autoencoders Open
Reducing noise in quantum systems is a major challenge towards the application of quantum technologies. Here, we propose and demonstrate a scheme to reduce noise using a quantum autoencoder with rigorous performance guarantees. The quantum…
View article: Report on scipost_202211_00047v3
Report on scipost_202211_00047v3 Open
View article: Enhancing quantum synchronization through homodyne measurement, noise, and squeezing
Enhancing quantum synchronization through homodyne measurement, noise, and squeezing Open
Quantum synchronization has been a central topic in quantum nonlinear dynamics. Despite the rapid development in this field, very few have studied how to efficiently boost synchronization. Homodyne measurement emerges as one of the success…
View article: Report on scipost_202211_00047v3
Report on scipost_202211_00047v3 Open
View article: Efficient option pricing with a unary-based photonic computing chip and generative adversarial learning
Efficient option pricing with a unary-based photonic computing chip and generative adversarial learning Open
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry. Here, we pres…
View article: Fisher Information as General Metrics of Quantum Synchronization
Fisher Information as General Metrics of Quantum Synchronization Open
Quantum synchronization has emerged as a crucial phenomenon in quantum nonlinear dynamics with potential applications in quantum information processing. Multiple measures for quantifying quantum synchronization exist. However, there is cur…
View article: Recent progress in quantum photonic chips for quantum communication and internet
Recent progress in quantum photonic chips for quantum communication and internet Open
View article: Towards Quantum Federated Learning
Towards Quantum Federated Learning Open
Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of leveraging quantum technologies to enhance privacy, security, and ef…
View article: Fisher information as general metrics of quantum synchronization
Fisher information as general metrics of quantum synchronization Open
Quantum synchronization has emerged as a crucial phenomenon in quantum nonlinear dynamics with potential applications in quantum information processing. Multiple measures for quantifying quantum synchronization exist. However, there is cur…
View article: Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor
Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor Open
Finding the transient and steady state properties of open quantum systems is a central problem in various fields of quantum technologies. Here, we present a quantum-assisted algorithm to determine the steady states of open system dynamics.…
View article: Self-Testing of a Single Quantum System: Theory and Experiment
Self-Testing of a Single Quantum System: Theory and Experiment Open