Results 271 to 280 of about 222,230 (325)

Quantum benchmarking of high-fidelity noise-biased operations on a detuned Kerr-cat qubit. [PDF]

Proc Natl Acad Sci U S A
Qing B, Hajr A, Wang K, Koolstra G, Nguyen LB, Hines J, Huang I, Bhandari B, Chen L, Kang Z, Jünger C, Goss N, Jain N, Kim H, Lee KH, Hashim A, Frattini NE, Pedramrazi Z, Dressel J, Jordan AN, Santiago DI, Siddiqi I.   +21 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Near-Optimal Decoding Algorithm for Color Codes Using Population Annealing. [PDF]

Entropy (Basel)
Martínez-García F, F Pereira FR, Parrado-Rodríguez P.   +2 more
europepmc   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

Enhancing quantum audio watermarking security through joint verification and certification. [PDF]

Sci Rep
Xing Z, Lam CT, Yuan X.
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Shadows of quantum error correction: Learning and interpretation

Anonymous
openalex   +1 more source

Systematically Improvable and Locality Accelerated Enzymatic Reactivity Modeling: Toward Chemical Accuracy at Affordable Cost. [PDF]

J Chem Theory Comput
Berta D, Csóka J, Samu G, Nagy PR.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

All-optical quantum memory using bosonic quantum error correction codes

Chatterjee, Kaustav, Budinger, Niklas, Yaghin, Kian Latifi, Clausen, Lucas Borg, Andersen, Ulrik Lund   +4 more
openalex   +1 more source