86 citations · 170 across the 8 of their papers we have counts for
11 papers
Exponential quantum advantage in processing massive classical data
Haimeng Zhao, Alexander Zlokapa, Hartmut Neven +4
Broadly applicable quantum advantage, particularly in classical data processing and machine learning, has been a fundamental open problem. In this work, we prove that a small quant…
Long-range wormhole teleportation
Joseph D. Lykken, Daniel Jafferis, Alexander Zlokapa +4
We extend the protocol of Gao and Jafferis arXiv:1911.07416 to allow wormhole teleportation between two entangled copies of the Sachdev-Ye-Kitaev (SYK) model communicating only thr…
Comment on "Comment on "Traversable wormhole dynamics on a quantum processor" "
Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken +5
We observe that the comment of [1, arXiv:2302.07897] is consistent with [2] on key points: i) the microscopic mechanism of the experimentally observed teleportation is size winding…
A quantum algorithm for training wide and deep classical neural networks
Alexander Zlokapa, Hartmut Neven, Seth Lloyd
Given the success of deep learning in classical machine learning, quantum algorithms for traditional neural network architectures may provide one of the most promising settings for…
Entangling Quantum Generative Adversarial Networks
Murphy Yuezhen Niu, Alexander Zlokapa, Michael Broughton +4
Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio gener…
A deep learning model for noise prediction on near-term quantum devices
Alexander Zlokapa, Alexandru Gheorghiu
We present an approach for a deep-learning compiler of quantum circuits, designed to reduce the output noise of circuits run on a specific device. We train a convolutional neural n…