Modified Quantum Neural Network Enhances Modeling of Nonlinear Dynamic Systems
A modified quantum neural network architecture achieves faster convergence and lower error when modeling nonlinear dynamic systems in benchmark simulations.
A modified quantum neural network architecture achieves faster convergence and lower error when modeling nonlinear dynamic systems in benchmark simulations.
A factorial study of 42 quantum algorithm variants finds that physics-informed initialization dramatically improves low-budget power grid scheduling but collapses ...
A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified full-resolution images without classical preprocessing.
A theoretical perspective by roboticist Frank Kirchner demonstrates how Alan Turing's early work on embodiment provides an architectural roadmap for ...
Researchers have built quantum and quantum-inspired physics-informed neural networks that solve the Hamilton–Jacobi–Bellman equation from the Merton portfolio optimization problem ...
Researchers built a superinductor from titanium nitride films native to a commercial 22-nanometre CMOS process and used it to create ...
Researchers report a variational quantum circuit framework that generates two control fields for the nonlinear Schrödinger equation, raising terminal fidelity ...
Researchers have introduced two generic hybrid key encapsulation mechanisms that combine standardized classical public-key encryption schemes with post-quantum KEMs, proving ...
A proposed superadiabatic shortcut scheme uses Rydberg superatoms to implement a controlled pi phase gate with high simulated fidelities and ...
A new Clifford+T quantum saturating adder achieves constant T-depth and reports average T-count savings of 17.15% over current methods.
A UT Dallas-led NSF-funded project is developing quantum-ready, AI-enabled security tools for next-generation cellular networks.
A new Annual Review of Nuclear and Particle Science article by SURF's science director chronicles the facility's history, current experiments ...
Nuclear magnetic resonance measurements reveal three distinct superconducting phases in K₂Cr₃As₃, establishing the compound as a tunable bulk platform for ...
A systematic review finds published qubit estimates for breaking RSA-2048 fell from about one billion to as low as 11,000, ...
Machine learning models optimized for edge hardware can determine control-pulse parameters for SNAP gates in microwave cavity qudits with gate ...
A corpus-driven complexity analysis finds that Grover-based quantum attacks on substitution ciphers could outpace classical random search by thousands of ...
Stanford physicists directly observed an individual phonon making a real-time quantum jump in a chip-fabricated mechanical resonator monitored by a ...
A qualitative information-systems study identifies potential quantum-computing contributions to catalyst research, electrolysis, storage and system decisions in a national green-hydrogen ...
A new study evaluates a hybrid quantum algorithm for ECG arrhythmia classification, finding it competitive at moderate resolutions but lacking ...
A narrative review argues that quantum-inspired algorithms, cloud computing, and edge processors could replace static ultrasound safety indices with dynamic, ...
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