Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session LL07: V: Quantum Characterization, Verification, and Validation
5:00 AM–6:48 AM,
Tuesday, March 21, 2023
Room: Virtual Room 7
Sponsoring
Unit:
DQI
Chair: Luke Govia, IBM TJ Watson Research Center
Abstract: LL07.00007 : Detecting Measurement Induced Phase Transition on SuperconductingQuantum Computers with Neural Network Decoders*
6:12 AM–6:24 AM
Author not Attending
Presenter:
Hossein Dehghani
(University of Maryland, College Park)
Authors:
Hossein Dehghani
(University of Maryland, College Park)
Mohammad Hafezi
(University of Maryland, College Park)
Michael J Gullans
(Joint Center for Quantum Information and Computer Science)
that can occur in monitored quantum systems composed of both unitary and non-unitary
time evolution operators which compete with each other in generating and destroying the
entanglement, respectively. An example of such systems, are hybrid quantum circuits with
random gates interspersed with random local measurements. While recently such phase
transitions have been observed in small-size random circuits, there is still no realization
of these phase transitions in large scale quantum computers. In this work, we study the
entanglement entropy of an ancilla qubits which is initially entangled to the circuit, as a
local probe that can detect this phase transition. To measure the entanglement entropy
of the ancilla qubit, we use three neural network decoders trained on the mid-circuit
measurement outcomes of the circuit and the three spins of the reference qubit at late
times. Correspondingly, the output of the neural network can determine the density matrix
of the reference qubit and its entanglement entropy as a function of time. Finally, using
the scaling behavior of the entanglement entropy of the reference qubit, we demonstrate
that the critical measurement rates of this phase transition and its critical exponents can
be estimated.
*We acknowledge support from the National Sci-ence Foundation (JQI-PFC-UMD and QLCI grant OMA-2120757). H.D. and M.H. acknowledge support fromARO W911NF2010232, AFOSR FA9550-19-1-0399, NSFOMA-2120757, QSA-DOE and Simons and Minta Mar-tin foundations.
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