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Probabilistic Error Cancellation (PEC) aims to improve the accuracy of expectation values for observables. This is accomplished using the probabilistic insertion of recovery gates, which correspond to the inverse of errors. However, the…

Numerical optimization is used to design linear-optical devices that implement a desired quantum gate with perfect fidelity, while maximizing the success rate. For the 2-qubit CS (or CNOT) gate, we provide numerical evidence that the…

量子物理 · 物理学 2015-05-13 Dmitry B. Uskov , Lev Kaplan , A. Matthew Smith , Sean D. Huver , Jonathan P. Dowling

A reliable controller is critical and essential for the execution of safe and smooth maneuvers of an autonomous vehicle.The controller must be robust to external disturbances, such as road surface, weather, and wind conditions, and so on.It…

机器人学 · 计算机科学 2019-05-01 Tianyu Shi , Pin Wang , Ching-Yao Chan , Chonghao Zou

Two photons in free space pass each other undisturbed. This is ideal for the faithful transmission of information, but prohibits an interaction between the photons as required for a plethora of applications in optical quantum information…

量子物理 · 物理学 2017-02-17 Bastian Hacker , Stephan Welte , Gerhard Rempe , Stephan Ritter

This paper considers optimal input design when the intended use of the identified model is to construct a feed-forward controller based on measurable disturbances. The objective is to find a minimum power excitation signal to be used in…

系统与控制 · 计算机科学 2013-03-14 Per Hägg , Bo Wahlberg

Backpropagation is the pivotal algorithm underpinning the success of artificial neural networks, yet it has critical limitations such as biologically implausible backward locking and global error propagation. To circumvent these…

机器学习 · 计算机科学 2025-09-11 James Gong , Raymond Luo , Emma Wang , Leon Ge , Bruce Li , Felix Marattukalam , Waleed Abdulla

Photonic quantum computing has gained significant interest in recent years due to its potential for scaling to large numbers of qubits. A critical requirement for fault-tolerant quantum computation is the reliable generation of non-Gaussian…

量子物理 · 物理学 2026-03-20 S. Ismailzadeh , B. Abedi Ravan

Feedforward control is essential to achieving good tracking performance in positioning systems. The aim of this paper is to develop an identification strategy for inverse models of systems with nonlinear dynamics of unknown structure using…

系统与控制 · 电气工程与系统科学 2022-02-10 Max van Meer , Maurice Poot , Jim Portegies , Tom Oomen

Unknown nonlinear dynamics often limit the tracking performance of feedforward control. The aim of this paper is to develop a feedforward control framework that can compensate these unknown nonlinear dynamics using universal function…

系统与控制 · 电气工程与系统科学 2023-03-31 Johan Kon , Dennis Bruijnen , Jeroen van de Wijdeven , Marcel Heertjes , Tom Oomen

Parametric down-conversion is a widely used source of nonclassical light in quantum optics and photonic quantum technologies. While stimulated parametric down-conversion with strong classical seeds is well studied, the regime in which…

We use the numerical optimization techniques of Uskov et al. [PRA 81, 012303 (2010)] to investigate the behavior of the success rates for KLM style [Nature 409, 46 (2001)] two- and three-qubit entangling gates. The methods are first…

量子物理 · 物理学 2012-07-10 A. Matthew Smith , D. B. Uskov , L. H. Ying , L. Kaplan

In principle the Zeno effect controlled-sign gate of Franson et al's (PRA 70, 062302, 2004) is a deterministic two-qubit optical gate. However, when realistic values of photon loss are considered its fidelity is significantly reduced. Here…

量子物理 · 物理学 2009-11-13 Patrick M. Leung , Timothy C. Ralph

The push-forward operation enables one to redistribute a probability measure through a deterministic map. It plays a key role in statistics and optimization: many learning problems (notably from optimal transport, generative modeling, and…

机器学习 · 统计学 2025-05-19 Lucas de Lara , Mathis Deronzier , Alberto González-Sanz , Virgile Foy

Fusing small resource states into a larger, fully connected graph-state is essential for scalable photonic quantum computing. Theoretical analysis reveals that this can only be achieved when the success probability of the fusion gate…

The aim of this paper is to introduce a new learning procedure for neural networks and to demonstrate that it works well enough on a few small problems to be worth further investigation. The Forward-Forward algorithm replaces the forward…

机器学习 · 计算机科学 2022-12-29 Geoffrey Hinton

Feedforward computation, such as evaluating a neural network or sampling from an autoregressive model, is ubiquitous in machine learning. The sequential nature of feedforward computation, however, requires a strict order of execution and…

机器学习 · 计算机科学 2021-06-15 Yang Song , Chenlin Meng , Renjie Liao , Stefano Ermon

Successful implementation of a fault-tolerant quantum computation on a system of qubits places severe demands on the hardware used to control the many-qubit state. It is known that an accuracy threshold $P_{a}$ exists for any quantum gate…

量子物理 · 物理学 2014-08-18 Yuchen Peng , Frank Gaitan

We present a linear-optical scheme for a controlled-phase gate with tunable phase shift programmed by a qubit state. In contrast to all previous tunable controlled-phase gates, the phase shift is not hard-coded into the optical setup, but…

量子物理 · 物理学 2015-10-28 Karel Lemr , Karol Bartkiewicz , Antonín Černoch

Current quantum computing platforms suffer from readout errors, where faulty measurement outcomes are reported by the device. These errors are particularly harmful in quantum programs that rely on branch statements wherein operations in…

量子物理 · 物理学 2026-02-02 Jin Ming Koh , Dax Enshan Koh , Jayne Thompson

The success probability of a quantum algorithm constructed from noisy quantum gates cannot be accurately predicted from single parameter metrics that compare noisy and ideal gates. We illustrate this concept by examining a system with…

量子物理 · 物理学 2019-03-27 Daniel C. Murphy , Kenneth R. Brown