Parallel Circuit Execution & NISQ Computing


Research from LIRMM, University of Montpellier, CNRS. Abstract "Quantum computing is performed on Noisy Intermediate-Scale Quantum (NISQ) hardware in the short term. Only small circuits can be executed reliably on a quantum machine due to the unavoidable noisy quantum operations on NISQ devices, leading to the under-utilization of hardware resources. With the growing demand to access quan... » read more

Current Knowledge & Future Development In 2D Magnetic Materials Research


Abstract: "Magnetism in two-dimensional (2D) van der Waals (vdW) materials has recently emerged as one of the most promising areas in condensed matter research, with many exciting emerging properties and significant potential for applications ranging from topological magnonics to low-power spintronics, quantum computing, and optical communications. In the brief time after their discovery, 2D... » read more

Quantum Machine Learning: Security Threats & Lines Of Defense


New research paper from Pennsylvania State University explores quantum machine learning (QML) and its use in hardware security. Find the technical paper here. April 2022. Satwik Kundu and Swaroop Ghosh. 2022. Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses (Invited). In Proceedings of the Great Lakes Symposium on VLSI 2022 (GLSVLSI ’22), June 6–8,... » read more

Quantum logic with spin qubits crossing the surface code threshold


New research paper from QuTech, Delft University of Technology. Abstract "High-fidelity control of quantum bits is paramount for the reliable execution of quantum algorithms and for achieving fault tolerance—the ability to correct errors faster than they occur. The central requirement for fault tolerance is expressed in terms of an error threshold. Whereas the actual threshold depends o... » read more

Quantitative Study Of Quantum Phase Transitions Key To High-Temp Superconductivity (Lawrence Berkeley Nat’l Lab )


New technical paper "Evidence for a delocalization quantum phase transition without symmetry breaking in CeCoIn5"  led by Lawrence Berkeley National Laboratory in collaboration with UC Berkeley. “The hope is that our work may lead to a better understanding of superconductivity, which could find applications in next-gen energy storage, supercomputing, and magnetic levitation trains,” said f... » read more

Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics


New academic paper out of USC Viterbi School of Engineering: Abstract "Ferroelectric materials exhibit a rich range of complex polar topologies, but their study under far-from-equilibrium optical excitation has been largely unexplored because of the difficulty in modeling the multiple spatiotemporal scales involved quantum-mechanically. To study optical excitation at spatiotemporal scales w... » read more

Qubits made by advanced semiconductor manufacturing


Abstract: "Full-scale quantum computers require the integration of millions of qubits, and the potential of using industrial semiconductor manufacturing to meet this need has driven the development of quantum computing in silicon quantum dots. However, fabrication has so far relied on electron-beam lithography and, with a few exceptions, conventional lift-off processes that suffer from low yie... » read more

Bell state analyzer for spectrally distinct photons


Abstract "We demonstrate a Bell state analyzer that operates directly on frequency mismatch. Based on electro-optic modulators and Fourier-transform pulse shapers, our quantum frequency processor design implements interleaved Hadamard gates in discrete frequency modes. Experimental tests on entangled-photon inputs reveal fidelities of ∼98% for discriminating between the |Ψ+⟩ and |Ψ−⟩... » 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

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