Search and access full-text peer-reviewed scholarly publications, open-access conference proceedings, and engineering manuscripts.
By Dr. John Doe
This is an end-to-end verification manuscript testing the complete post-acceptance payment and publishing state machine workflow.
By Dr. John Doe
This is an end-to-end verification manuscript testing the complete post-acceptance payment and publishing state machine workflow.
By Dr. John Doe
This is an end-to-end verification manuscript testing the complete post-acceptance payment and publishing state machine workflow.
By Dr. John Doe
This is an end-to-end verification manuscript testing the complete post-acceptance payment and publishing state machine workflow.
By Prof. Alistair Vance , Dr. Elena Rostova
Superconducting quantum circuits face severe fidelity degradation due to thermal quasiparticles and decoherence during multi-qubit readout cycles. In this paper, we introduce an adaptive error-mitigation protocol that performs real-time continuous calibration using non-destructive dispersive telemetry. Benchmarked across a 127-qubit planar lattice, our approach suppresses state-preparation and measurement (SPAM) errors by 41.6% without incurring physical qubit overhead. Experimental verification on benchmark algorithms demonstrates two orders of magnitude improvement in circuit depth capacity.
By Dr. Marcus Thorne , Prof. Alistair Vance
Autonomous decentralized swarm robotics operating in hostile tactical environments require trustless state consensus without exposing internal sensory data or communication topology. We construct a succinct non-interactive argument of knowledge (zk-SNARK) verification circuit optimized for low-power ARM Cortex-M microcontrollers. The proposed protocol achieves cryptographic identity attestation and kinematic path consensus in under 18ms per peer hop while tolerating up to 33% malicious Byzantine nodes.
Conventional frame-based sensors exhibit high motion blur and prohibitive energy consumption in high-velocity drone flight. Here, we present a spiking neural network (SNN) topology integrated with neuromorphic silicon event cameras. By executing temporal spike contrast backpropagation on an asynchronous crossbar array, our model tracks 6-DOF trajectory poses at 10,000 frames-per-second equivalent temporal resolution with only 14mW power consumption.
By Dr. Hiroshi Tanaka , Dr. David Clark
Electrification of commercial fleet transport mandates multi-megawatt fast-charging substations directly connected to medium-voltage distribution feeders. We present an interleaved silicon-carbide (SiC) dual active bridge (DAB) solid-state transformer (SST) featuring carrier-phase-shifted PWM and selective harmonic mitigation. At 13.8kV grid coupling, the 2.4MW prototype achieves 98.4% peak efficiency and compliance with IEEE 519-2022 total harmonic distortion standards.
