C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Daniel Liang
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 13
Top Topics
Pseudorandom
Efficient Learning
Attribute Noise
Pac Learnable
Top Venues
CoRR
Quantum
Array
ITCS
</>
Publications
</>
Sabee Grewal
,
Vishnu Iyer
,
William Kretschmer
,
Daniel Liang
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements.
CoRR
(2023)
Sabee Grewal
,
Vishnu Iyer
,
William Kretschmer
,
Daniel Liang
Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom.
ITCS
(2023)
Daniel Liang
Clifford Circuits can be Properly PAC Learned if and only if RP=NP.
Quantum
7 (2023)
Sabee Grewal
,
Vishnu Iyer
,
William Kretschmer
,
Daniel Liang
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates.
CoRR
(2023)
Sabee Grewal
,
Vishnu Iyer
,
William Kretschmer
,
Daniel Liang
Improved Stabilizer Estimation via Bell Difference Sampling.
CoRR
(2023)
Aravind Gollakota
,
Daniel Liang
On the Hardness of PAC-learning Stabilizer States with Noise.
Quantum
6 (2022)
Daniel Liang
Clifford Circuits can be Properly PAC Learned if and only if RP=NP.
CoRR
(2022)
Sabee Grewal
,
Vishnu Iyer
,
William Kretschmer
,
Daniel Liang
Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom.
CoRR
(2022)
Aravind Gollakota
,
Daniel Liang
On the Hardness of PAC-learning stabilizer States with Noise.
CoRR
(2021)
Ling Chen
,
David Renshaw
,
Michael Kellam
,
Ritaban Dutta
,
Daniel Liang
Characterization of Reversibly-Actuating Shape Memory Alloy Foils Produced By Planar Flow Casting.
IEEE SENSORS
(2021)
Ritaban Dutta
,
David Renshaw
,
Cherry Chen
,
Daniel Liang
Machine learning based approach for shape memory polymer behavioural characterization.
Array
7 (2020)
Ritaban Dutta
,
David Renshaw
,
Hong Yin
,
Daniel Liang
Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer.
BigMine@KDD
(2019)
Ritaban Dutta
,
Heiko Mueller
,
Daniel Liang
An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning.
SysCon
(2018)