86 citations · 223 across the 10 of their papers we have counts for
10 papers · 1 filter
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…
Boundaries of quantum supremacy via random circuit sampling
Alexander Zlokapa, Sergio Boixo, Daniel Lidar
Google's recent quantum supremacy experiment heralded a transition point where quantum computing performed a computational task, random circuit sampling, that is beyond the practic…
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton, Guillaume Verdon, Trevor McCourt +26
We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high…
Charged particle tracking with quantum annealing-inspired optimization
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant +4
At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for analysis are expected to face challenges due to scaling wit…
Quantum adiabatic machine learning with zooming
Alexander Zlokapa, Alex Mott, Joshua Job +3
Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific applicat…