ELFT HÍRADÓ

[Szeminárium koordinátor <szfi-seminar AT wigner.mta.hu>]

SZFI SzemináriumGyöngyösi LászlóBME (vendéglátó: Kiss Tamás)Dense Measurement 
and Optimization for Near-Term Quantum Devices2020. március 3. kedd, 10.00, 
KFKI Telephely, I. épület 1. emeleti TanácsteremThe main issues in current 
quantum measurement strategies are the high number of measurement rounds to 
determine a global optimal measurement output and the low success probability 
of finding a global optimal measurement output. Each measurement round 
requires preparing the quantum system and applying quantum operations and 
measurements with high-precision control in the physical layer. We define a 
novel measurement for quantum computations called dense quantum measurement. 
The dense measurement strategy aims at fixing the main drawbacks of standard 
quantum measurements by achieving a significant reduction in the number of 
necessary measurement rounds and by improving the success probabilities of 
finding global optimal outputs. We provide application scenarios for quantum 
circuits with arbitrary unitary sequences in gate-model quantum computer 
architectures. We define a novel quantum memory called 
high-retrieval-efficiency (HRE) quantum memory for the optimization of 
near-term quantum devices. An HRE quantum memory unit integrates unitary 
operations for the optimization of the readout procedure and utilizes the 
advanced techniques of quantum machine learning. We prove the learning 
procedure, and evaluate the achievable output signal-to-noise ratio values. 
We show that the local unitaries of an HRE quantum memory achieve the 
optimization of the readout procedure in an unsupervised manner without the 
use of any labeled data or training sequences. Minden érdeklődőt 
szívesen látunk! - Everyone is welcome to attend.Juhász 
Róbertszfi-seminar AT wigner.mta.hu