Protocol for nearly deterministic parity projection on two photonic qubits

Photonic parity projection plays an important role in photonic quantum information processing. Nondestructive parity projections normally require high-fidelity controlled-<a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mi>Z</a:mi></a:math> gates between photonic and matter qubits, which can be experimentally demanding. In this paper, we propose a nearly deterministic parity projection protocol on two photonic qubits which only requires stable matter-photon controlled-phase gates. We also demonstrate that our protocol can tolerate moderate Gaussian phase errors in the controlled-phase gates as well as Pauli errors on the matter qubits. The fact that our protocol does not require perfect controlled-<b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mi>Z</b:mi></b:math> gates makes it more amenable to experimental implementation. Although we focus on photonic qubits, our protocol can be applied to any physical system or circuit with imperfect controlled-<c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:mi>Z</c:mi></c:math> gates. Our protocol also provides a new optimization space for parity projection operations on various physical platforms, which is potentially beneficial for achieving high-fidelity parity projection operations. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical Review Research
Published
2024-11-15
DOI
https://doi.org/10.1103/physrevresearch.6.043143
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protocol for nearly deterministic parity projection on two photonic qubits

Edwin Barnes, Chenxu Liu, Rafail Frantzeskakis, Sophia E. Economou
Physical Review Research
Quantum Information and Cryptography
article

Protocol for nearly deterministic parity projection on two photonic qubits

Edwin Barnes, Chenxu Liu, Rafail Frantzeskakis, Sophia E. Economou
article en

Abstract

Photonic parity projection plays an important role in photonic quantum information processing. Nondestructive parity projections normally require high-fidelity controlled-<a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mi>Z</a:mi></a:math> gates between photonic and matter qubits, which can be experimentally demanding. In this paper, we propose a nearly deterministic parity projection protocol on two photonic qubits which only requires stable matter-photon controlled-phase gates. We also demonstrate that our protocol can tolerate moderate Gaussian phase errors in the controlled-phase gates as well as Pauli errors on the matter qubits. The fact that our protocol does not require perfect controlled-<b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mi>Z</b:mi></b:math> gates makes it more amenable to experimental implementation. Although we focus on photonic qubits, our protocol can be applied to any physical system or circuit with imperfect controlled-<c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:mi>Z</c:mi></c:math> gates. Our protocol also provides a new optimization space for parity projection operations on various physical platforms, which is potentially beneficial for achieving high-fidelity parity projection operations. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
University of Crete (GR), Virginia Tech (US)
National Science Foundation, U.S. Department of Energy, National Energy Research Scientific Computing Center, Office of Science, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 82%
Quantum Information and Cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.