Dr. Elena Rostova

Featured Researcher

Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT • United States

ORCID: 0000-0003-4921-8841 Institutional Website

Associate Professor at MIT CSAIL focusing on neuromorphic computing and deep reinforcement learning.

Research Focus: Neuromorphic Hardware Deep Learning Neural Architecture Search

Published Research Papers (2)

Peer-Reviewed IEEE Archive

Quantum Computing & Information Theory IEEE-RH-2026-0001

Scalable Error-Mitigated Quantum Telemetry for Superconducting Multi-Qubit Processors

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.

Published: Aug 2026 View Paper & Citation →

Artificial Intelligence & Machine Learning IEEE-RH-2026-0003

Neuromorphic Event-Driven Spike Routing for Low-Latency Visual Odometry

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.

Published: Jun 2026 View Paper & Citation →