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[Fizinfo] Szemináriumok - Seminars: Gyöngyösi László

Chronological Thread 
  • From: Szeminárium koordinátor <szfi-seminar AT>
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  • Subject: [Fizinfo] Szemináriumok - Seminars: Gyöngyösi László
  • Date: Thu, 27 Feb 2020 06:26:03 +0100 (CET)
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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.&nbsp;Minden érdeklődőt
szívesen látunk! - Everyone is welcome to attend.Juhász
Róbertszfi-seminar AT

  • [Fizinfo] Szemináriumok - Seminars: Gyöngyösi László, Szeminárium koordinátor, 02/27/2020

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