Abstract Kernel methods have a wide spectrum of applications in machine learning. Recently, link between quantum computing and kernel theory has been formally established, opening up opportunities for techniques to enhance various existing machine-learning methods. We present distance-based classifier whose is based on the state fidelity training test data. The can be tailored systematically with circuit raise an arbitrary power assign weights each Given specific input state, our protocol...

Abstract Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term computers. A critical challenge VQE in practice is that one needs to strike a balance between expressivity of ansatz versus number gates required implement ansatz, given reality noisy operations In this work, we consider an orbital-optimized pair-correlated approximation unitary coupled cluster with singles and doubles (uCCSD) report highly efficient...

We have used femtosecond optical spectroscopy to observe directly the vacuum Rabi oscillations associated with coupled exciton-photon mode splitting in a semiconductor quantum microcavity. When microcavity is impulsively excited by coherent short pulse, time-resolved emission from cavity shows beats corresponding oscillation between and exciton modes, decay approximately twice lifetime. Interferometric pump-probe measurements clearly show evolution of polarization.

Nonlinear distortion from a directly modulated laser (DML) is one of the major limiting factors to enhance transmission capacity beyond 10 Gb/s for an intensity modulation direct-detection optical access network. In this letter, we propose and demonstrate low-complexity nonlinear equalizer (NLE) based on machine-learning algorithm called artificial neural network (ANN). Experimental results DML-based 20-Gb/s signal over 18-km SMF-28e fiber at 1310-nm employing pulse amplitude (PAM)-4 confirm...

A prerequisite for many quantum information processing tasks to truly surpass classical approaches is an efficient procedure encode data in superposition states. In this work, we present a circuit-based flip-flop random access memory construct database of systematic and flexible way. For registering or updating consisting M entries, each represented by n bits, the method requires O(n) qubits O(Mn) steps. With post-selection at additional cost, our can also store continuous as probability...

Abstract A kernel-based quantum classifier is the most practical and influential machine learning technique for hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algorithm that demonstrates empirical sub-quadratic run-time complexity with operations feasible even in NISQ computers. experimented our toy example dataset on cloud-based machines as proof concept. also numerically investigated its performance standard Iris...

Abstract Quantum computers offer significant potential for complex system analysis, yet their application in large systems is hindered by limitations such as qubit availability and quantum hardware noise. While the variational eigensolver (VQE) was proposed to address these issues, its scalability remains limited. Many efforts, including new ansätze Hamiltonian modifications, have been made overcome challenges. In this work, we introduced novel Fragment Molecular Orbital/Variational...

When four photons arrive at a beam splitter, two from each side, four-photon, six-path interference effect occurs to yield sixfold enhancement of the probability for all exit together splitter. We produce four-photon state by using stimulated emission process in pulsed parametric down-conversion and measure one side The observed factor is good agreement with multimode treatment down-conversion.

A number of multiphoton interference schemes involving independent fields from parametric down-conversion are analyzed. They include fourth-order (two-photon) between two processes, with single photon Fock states (produced by gated down-conversion), and quantum state teleportation entanglement swapping. It is shown that the visibility in these experiments related to a quantity responsible for bunching effect one (signal or idler) process. Besides two-photon schemes, four-photon scheme...

Optical orthogonal frequency division multiplex (OFDM) symbol generation by all-optical discrete Fourier transform (DFT) is proposed and investigated for 100-Gbps transmission performance. We discuss a design example 4x25Gbps OFDM system its performance comparison with that single-channel return-to-zero data in an optically amplified system.

Internet content caching for multimedia services has received much attention mainly in the field of large-scale wired networking as a primary solution to save network resources and improve quality service (QoS). Rapidly increasing consumption mobile networks brings challenge how efficiently deliver local wireless access networks. Cache embedment mesh environment is an intriguing attempt enhance QoS capacity, leading question design efficient delivery considering inherent characteristics...

A quantum error mitigation technique based on machine learning is proposed, which learns how to adjust the probabilities estimated by measurement in computational basis. Neural networks two different designs are trained with random circuits consisting of a set one- and two-qubit unitary gates whose statistics ideal (noiseless) real (noisy) cases known. Once neural trained, they infer amount probability adjustment be made obtained from executing an unseen circuit reduce error. The proposed...

Ethernet technologies are rapidly gaining importance as a prevailing solution for carrier networks. ring protection switching, defined in ITU-T Recommendation G.8032, provides means of achieving network requirements topologies. This article outlines the novel concepts this switching mechanism and discusses fundamental operating principles by which automatic (APS) protocol works. In addition, several feature enhancements behavior solutions being considered next phase standardization discussed.

Congested hot spots and node failures severely degrade the performance of wireless mesh networks. However, conventional routing schemes are inefficient in mitigation problems. Considering analogy to physics, we propose a novel distributed potential-field-based scheme for anycast networks, which is robust sudden traffic network perturbations, effectively balancing load among multiple gateways nodes with little control overhead. Simulation results exhibit autonomous failure-tolerant networking.

Radio channel state information (CSI) measured with many receivers is a good resource for localizing transmitter device machine learning discriminative model. However, CSI localization nontrivial when the radio map complicated, such as in building corridors. This article introduces view-selective deep (VSDL) system indoor using of WiFi. The multiview training obtained from multiple groups access points (APs) generates latent features on supervised variational network. then applied to an...

We demonstrate pulse stretching and compression in a high-repetition-rate chirped-pulse Ti:sapphire regenerative amplifier, using high-efficiency holographic transmission gratings. A quantitative dispersion measurement technique is developed to characterize of the system third order. After recompression with third-order compensation, 3.1-μJ 85-fs, nearly transform-limited pulses are obtained.

Femtosecond optical techniques have been used to probe transient electron transport and electric field dynamics in high parallel transport, a horizontal p-i-n quantum-well structure. Physical quantities associated with transients, such as distribution functions, velocity, acceleration, measured by means of femtosecond absorption saturation, excitonic electroabsorption, terahertz electromagnetic radiation, at fields up 16 kV/cm. Important phenomena, ballistic acceleration on time scale 150 fs...

Wireless content delivery networks (WCDNs) have received attention as a promising solution to reduce the network congestion caused by rapidly growing demands for mobile content. The amount of reduced is intuitively proportional hit ratio in WCDN. Cooperation among cache servers strongly required maximize WCDN where each server equipped with small-size storage space. In this paper, we address replacement problem that deals how manage contents limited space reactive manner cope dynamic demand...

The increasingly bursty nature of delay-tolerable content delivery services requires new design and control perspectives in state-of-the-art end-to-end bufferless transport networks. Store-and-forward capable networked buffers lightpath networks enable an optical delay-tolerant networking (DTN) service that efficiently improves the capacity by time-domain traffic shaping. We model architecture DTN asymptotically analyze blocking probability performance as a function buffer node ratio....

Inspired by classical graph neural networks, we discuss a novel quantum network (QGNN) model to predict the chemical and physical properties of molecules materials. QGNNs were investigated energy gap between highest occupied lowest unoccupied molecular orbitals small organic molecules. The models utilize equivariantly diagonalizable unitary circuit (EDU-QGC) framework allow discrete link features minimize embedding. results show can achieve lower test loss compared if similar number...

We describe an experimental realization of ultra-long-haul (ULH) networks with dynamically reconfigurable transparent optical add-drop multiplexers (OADMs) and cross-connects (OXCs). A simple new approach to dispersion management in ULH dense-wavelength-division-multiplexing (DWDM) is proposed implemented, which enables excellent transmission performance while avoiding compensation on a connection-by-connection basis. demonstrate "broadcast-and-select" node architectures that take full...

Ethernet ring protection (ERP) is an emerging solution for carrier-grade optical networking developed as ITU-T recommendation. The most recent development of the ERP technique provides multi-ring in a mesh packet transport network. configuration and capacity planning topology can be optimized selection interconnected hierarchy logical loop prevention block positions. This paper reports first investigation to understand designing principles protected networks proposes design scheme...

Reduction of DWDM nonlinear fiber penalties by the use DPSK modulation and an optically preamplified self-homodyning receiver is discussed. Maintaining a constant instantaneous channel power phase shift keying, we can anticipate reduction cross-phase penalties. Our modeling results show 0.9-dB benefit in Q performance for 50-GHz spaced, 32/spl times/10 Gb/s transmissions with nonzero dispersion shifted fiber.

We propose a novel application of liquid-crystal based wavelength selective switch that offers user configurable, variable passband optical add-drop multiplex for 10 and 40 Gbps DWDM network systems.