## Building Blocks for Quantum Neuromorphic Computing: Superconducting Quantum Memcapacitors

Quantum neuromorphic computing (QNC) is a novel method that combines quantum computing with brain-inspired neuromorphic computing. Neuromorphic computing performs computations using a complex ensemble of artificial neurons and synapses (i.e., electrical circuits) to emulate the human brain. QNC may lead to a quantum advantage by realizing these components with quantum memory elements, or memelements, which […]

June 12, 2023

## Photonic Quantum Processor

Photonic quantum processors based on integrated quantum photonic circuits require entangled photon pairs to perform quantum computations. However, current state-of-the-art technologies utilize probabilistic entangled photon sources with limited pair-extraction efficiencies, negatively affecting the computation speed. This project aims to boost the speed of on-chip quantum operations by using bright, on-demand entangled photon sources with an […]

April 24, 2023

## New research opens the book on entangled qubits

Friday, September 3 Researchers have developed a new way to measure how quantum information behaves in correlated quantum systems that could be useful for understanding and improving quantum devices and quantum error correction codes. “We are all excited about the potential of quantum entanglement for quantum information processing,” said Mohamad Niknam, who was a […]

September 7, 2021

## Mesoscopic systems as coherent control elements

Summary Mesoscopic systems provide a new tool for quantum systems design. In particular, they are enabling of robust quantum control. Here “mesoscopic system” refers to a connected network where each element, if studied alone, would be a quantum bit. The network is too big to be treated fully quantum mechanically. We do not have individual […]

September 1, 2016