ML Architecture for Solving the Inverse Problem for Matter Wave Lithography: LACENET


This recent technical paper titled "Realistic mask generation for matter-wave lithography via machine learning" was published by researchers at University of Bergen (Norway). Abstract: "Fast production of large area patterns with nanometre resolution is crucial for the established semiconductor industry and for enabling industrial-scale production of next-generation quantum devices. Metasta... » read more

Max Planck Generates Up To 14 Entangled Photons In A Defined Way And With High Efficiency


A new technical paper titled "Efficient generation of entangled multiphoton graph states from a single atom" was published by researchers at Max Planck Institute of Quantum Optics. The team of physicists "generated up to 14 entangled photons in an optical resonator, which can be prepared into specific quantum physical states in a targeted and very efficient manner. The new method could facil... » read more

Technical Paper Round-Up: July 5


New technical papers added to Semiconductor Engineering’s library this week. [table id=36 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Quantum Batteries Constructed of a Microcavity Enclosing a Molecular Dye


Research paper titled "Superabsorption in an organic microcavity: Toward a quantum battery" from researchers at University of Adelaide (Australia), University of Sheffield (UK), Politecnico di Milano (Italy), University of St Andrews (UK), and Heriot-Watt University. Abstract (Partial) "Here, we implement experimentally a paradigmatic model of a quantum battery, constructed of a microcavity... » read more

Experimental photonic quantum memristor


Abstract "Memristive devices are a class of physical systems with history-dependent dynamics characterized by signature hysteresis loops in their input–output relations. In the past few decades, memristive devices have attracted enormous interest in electronics. This is because memristive dynamics is very pervasive in nanoscale devices, and has potentially groundbreaking applications ranging... » read more

Wavelength Multiplexed Ultralow-Power Photonic Edge Computing


Abstract "Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors -- and this trend is accelerated by the simultaneous move towards Internet-of-Things (IoT) devices. Numerous efforts are underway to lower power consumption, but ... » read more

QubiC: An Open-Source FPGA-Based Control and Measurement System for Superconducting Quantum Information Processors


Abstract: "As quantum information processors grow in quantum bit (qubit) count and functionality, the control and measurement system becomes a limiting factor to large-scale extensibility. To tackle this challenge and keep pace with rapidly evolving classical control requirements, full control stack access is essential to system-level optimization. We design a modular field-programmable gate a... » read more

Design of strongly nonlinear graphene nanoelectromechanical systems in quantum regime


ABSTRACT "We report on the analysis and design of atomically thin graphene resonant nanoelectromechanical systems (NEMS) that can be engineered to exhibit anharmonicity in the quantum regime. Analysis of graphene two-dimensional (2D) NEMS resonators suggests that with device lateral size scaled down to ∼10–30 nm, restoring force due to the third-order (Duffing) stiffness in graphene NE... » read more

Reconstruction of Bloch wavefunctions of holes in a semiconductor


Summary "A central goal of condensed-matter physics is to understand how the diverse electronic and optical properties of crystalline materials emerge from the wavelike motion of electrons through periodically arranged atoms. However, more than 90 years after Bloch derived the functional forms of electronic waves in crystals [1] (now known as Bloch wavefunctions), rapid scattering processes ha... » read more

Absence of Barren Plateaus in Quantum Convolutional Neural Networks


Abstract:  Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exponentially vanishing gradients, known as barren plateau landscapes, for many QNN architectures. Recently, quantum convolutional neural networks (QCNNs) have been proposed, involving a sequence of convol... » read more

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