You need to log in to edit.

You can create a new account if you don't have one.

Or, discuss a change on Slack.

You can create a new account if you don't have one.

Or, discuss a change on Slack.

1 code implementation • 5 Apr 2022 • Andrew K. Tan, Max Tegmark, Isaac L. Chuang

Our goal is to map out and study the Pareto frontier that quantifies this trade-off.

no code implementations • 25 Feb 2022 • Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Ila R. Fiete, Max Tegmark, Isaac L. Chuang

It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons?

no code implementations • 29 Dec 2021 • Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang

Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers.

no code implementations • 3 Feb 2021 • Zane M. Rossi, Isaac L. Chuang

The problem of discriminating between many quantum channels with certainty is analyzed under the assumption of prior knowledge of algebraic relations among possible channels.

Quantum Physics

2 code implementations • 31 Oct 2019 • Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

Confident learning (CL) is an alternative approach which focuses instead on label quality by characterizing and identifying label errors in datasets, based on the principles of pruning noisy data, counting with probabilistic thresholds to estimate noise, and ranking examples to train with confidence.

no code implementations • ICLR Workshop LLD 2019 • Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark

However, in practice, not only is $\beta$ chosen empirically without theoretical guidance, there is also a lack of theoretical understanding between $\beta$, learnability, the intrinsic nature of the dataset and model capacity.

1 code implementation • 26 Jul 2018 • Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark

Compared to humans, machine learning models generally require significantly more training examples and fail to extrapolate from experience to solve previously unseen challenges.

3 code implementations • 4 May 2017 • Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang

To highlight, RP with a CNN classifier can predict if an MNIST digit is a "one"or "not" with only 0. 25% error, and 0. 46 error across all digits, even when 50% of positive examples are mislabeled and 50% of observed positive labels are mislabeled negative examples.

no code implementations • 31 Jul 2015 • Thomas Monz, Daniel Nigg, Esteban A. Martinez, Matthias F. Brandl, Philipp Schindler, Richard Rines, Shannon X. Wang, Isaac L. Chuang, Rainer Blatt

It was only in 1994 that Peter Shor came up with an algorithm that is able to calculate the prime factors of a large number vastly more efficiently than known possible with a classical computer.

Quantum Physics

no code implementations • 30 Dec 2001 • Lieven M. K. Vandersypen, Matthias Steffen, Gregory Breyta, Costantino S. Yannoni, Mark H. Sherwood, Isaac L. Chuang

The number of steps any classical computer requires in order to find the prime factors of an $l$-digit integer $N$ increases exponentially with $l$, at least using algorithms known at present.

Quantum Physics

no code implementations • 15 Aug 2000 • Dave Bacon, Andrew M. Childs, Isaac L. Chuang, Julia Kempe, Debbie W. Leung, Xinlan Zhou

Although the conditions for performing arbitrary unitary operations to simulate the dynamics of a closed quantum system are well understood, the same is not true of the more general class of quantum operations (also known as superoperators) corresponding to the dynamics of open quantum systems.

Quantum Physics

no code implementations • 6 Jul 2000 • Lieven M. K. Vandersypen, Matthias Steffen, Gregory Breyta, Costantino S. Yannoni, Richard Cleve, Isaac L. Chuang

We report the realization of a nuclear magnetic resonance (NMR) quantum computer which combines the quantum Fourier transform (QFT) with exponentiated permutations, demonstrating a quantum algorithm for order-finding.

Quantum Physics

no code implementations • 2 Aug 1999 • Daniel Gottesman, Isaac L. Chuang

We present a method to create a variety of interesting gates by teleporting quantum bits through special entangled states.

Quantum Physics

no code implementations • 1 Oct 1996 • Isaac L. Chuang, M. A. Nielsen

We give an explicit prescription for experimentally determining the evolution operators which completely describe the dynamics of a quantum mechanical black box -- an arbitrary open quantum system.

Quantum Physics

Cannot find the paper you are looking for? You can
Submit a new open access paper.

Contact us on:
hello@paperswithcode.com
.
Papers With Code is a free resource with all data licensed under CC-BY-SA.