scholarly journals Measurement-induced chaos and quantum state discrimination in an iterated Tavis-Cummings scheme

2017 ◽  
Vol 95 (2) ◽  
Author(s):  
Juan Mauricio Torres ◽  
József Zsolt Bernád ◽  
Gernot Alber ◽  
Orsolya Kálmán ◽  
Tamás Kiss
Keyword(s):  
Quantum State ◽  
Quantum State Discrimination ◽  
State Discrimination

Experimental Quantum State Discrimination

2006 ◽  
pp. 59-67
Author(s):  
Stephen M. Barnett ◽  
Roger B. M. Clarke ◽  
Vivien M. Kendon ◽  
Erling Riis ◽  
Anthony Chefles ◽  
...  
Keyword(s):  
Quantum State ◽  
Quantum State Discrimination ◽  
State Discrimination

scholarly journals Optimal Universal Learning Machines for Quantum State Discrimination

2019 ◽  
Vol 65 (9) ◽  
pp. 5931-5944 ◽  
Author(s):  
Marco Fanizza ◽  
Andrea Mari ◽  
Vittorio Giovannetti
Keyword(s):  
Quantum State ◽  
Quantum State Discrimination ◽  
Learning Machines ◽  
State Discrimination

scholarly journals Solutions to the mean king’s problem: Higher-dimensional quantum error-correcting codes

2016 ◽  
Vol 14 (08) ◽  
pp. 1650048
Author(s):  
Masakazu Yoshida ◽  
Toru Kuriyama ◽  
Jun Cheng
Keyword(s):  
Quantum State ◽  
Error Detection ◽  
Error Correcting Codes ◽  
Quantum State Discrimination ◽  
Delayed Information ◽  
State Discrimination ◽  
Higher Dimensional ◽  
Error Detection And Correction ◽  
The Mean ◽  
Quantum Error

Mean king’s problem is a kind of quantum state discrimination problems. In the problem, we try to discriminate eigenstates of noncommutative observables with the help of classical delayed information. The problem has been investigated from the viewpoint of error detection and correction. We construct higher-dimensional quantum error-correcting codes against error corresponding to the noncommutative observables. Any code state of the codes provides a way to discriminate the eigenstates correctly with the classical delayed information.

scholarly journals Quantum state discrimination

2009 ◽  
Vol 1 (2) ◽  
pp. 238 ◽  
Author(s):  
Stephen M. Barnett ◽  
Sarah Croke
Keyword(s):  
Quantum State ◽  
Quantum State Discrimination ◽  
State Discrimination

scholarly journals Quantum state discrimination and enhancement by noise

2014 ◽  
Vol 378 (30-31) ◽  
pp. 2128-2136 ◽  
Author(s):  
François Chapeau-Blondeau
Keyword(s):  
Quantum State ◽  
Quantum State Discrimination ◽  
State Discrimination

scholarly journals Support Vector Machines with Quantum State Discrimination

2021 ◽  
Vol 3 (3) ◽  
pp. 482-499
Author(s):  
Roberto Leporini ◽  
Davide Pastorello
Keyword(s):  
Support Vector Machines ◽  
Quantum State ◽  
Quantum States ◽  
Support Vector ◽  
Classification Algorithms ◽  
Quantum State Discrimination ◽  
Classification Problems ◽  
Density Operators ◽  
State Discrimination ◽  
Vector Machines

We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems. In order to use these tools, feature vectors have to be encoded in quantum states represented by density operators. Classification algorithms inspired by quantum state discrimination and implemented on classic computers have been recently proposed. We focus on the implementation of a known quantum-inspired classifier based on Helstrom state discrimination showing its connection with support vector machines and how to make the classification more efficient in terms of space and time acting on quantum encoding. In some cases, traditional methods provide better results. Moreover, we discuss the quantum-inspired nearest mean classification.

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